Modeling Language Change for the Purpose of Phylogenetic Reconstruction Johann-Mattis List DFG research fellow Centre des recherches linguistiques sur l’Asie Orientale Team Adaptation, Integration, Reticulation, Evolution EHESS and UPMC, Paris 2016/02/02 1 / 50

Language History Language History 2 / 50

Language History Modeling Language History Modeling Language History: Dendrophilia August Schleicher (1821-1868) 3 / 50

Language History Modeling Language History Modeling Language History: Dendrophilia August Schleicher (1821-1868) “These assumptions, which follow logically from the results of our re- search, can be best illustrated by the image of a branching tree.” (Schle- icher 1853: 787) 3 / 50

Language History Modeling Language History Modeling Language History: Dendrophilia Schleicher (1853) 4 / 50

Language History Modeling Language History Modeling Language History: Dendrophobia Johannes Schmidt (1843-1901) 5 / 50

Language History Modeling Language History Modeling Language History: Dendrophobia Johannes Schmidt (1843-1901) “You can turn it as you want, but as long as you stick to the idea that the his- torically attested languages have been developing by multiple furcations of an ancestral language, that is, as long as you assume that there is a Stammbaum [family tree] of the Indo-European lan- guages, you will never be able to explain all facts which have been assembled in a scientifically satisfying way.” (Schmidt 1872: 17, my translation) 5 / 50

Language History Modeling Language History Modeling Language History: Dendrophobia Johannes Schmidt (1843-1901) “I want to replace [the tree] by the im- age of a wave that spreads out from the center in concentric circles be- coming weaker and weaker the far- ther they get away from the center.” (Schmidt 1872: 27, my translation) 6 / 50

Language History Modeling Language History Modeling Language History: Dendrophobia Schmidt (1875) 7 / 50

Language History Modeling Language History Modeling Language History: Dendrophobia Meillet (1908) Hirt (1905) Bloomfield (1933) Bonfante (1931) 7 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ languages do not always split............ .......... ............ ............ 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ languages do not always split............ .......... ............ ............ they are boring, since they only model the vertical aspects of language history ............ 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ languages do not always split............ .......... ............ ............ they are boring, since they only model the vertical aspects of language history ............ Waves are bad, because nobody knows how to reconstruct them 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ languages do not always split............ .......... ............ ............ they are boring, since they only model the vertical aspects of language history ............ Waves are bad, because nobody knows how to reconstruct them languages still diverge, even if not necessarily in split processes 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Trees are bad, because... they are difficult to reconstruct............ languages do not always split............ .......... ............ ............ they are boring, since they only model the vertical aspects of language history ............ Waves are bad, because nobody knows how to reconstruct them languages still diverge, even if not necessarily in split processes they are boring, since they only model the horizontal aspects of language history 8 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Hugo Schuchardt (1842-1927) 9 / 50

Language History Modeling Language History Modeling Language History: Phylogenetic Networks Hugo Schuchardt (1842-1927) “We connect the branches and twigs of the tree with countless horizon- tal lines and it ceases to be a tree.” (Schuchardt 1870 [1900]: 11) 9 / 50

Language History Modeling Language History Phylogenetic Networks 10 / 50

Language History Modeling Language History Phylogenetic Networks 10 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic zɔnə SUN German suːl SUN Swedish 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic soːl- SUN Romance zɔnə SUN German suːl SUN Swedish 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic soːl- SUN soːlikul- SMALL SUN Romance zɔnə SUN German suːl SUN Swedish 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl̩- sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic soːl- SUN soːlikul- SMALL SUN Romance solej SUN French sol SUN Spanish zɔnə SUN German suːl SUN Swedish 11 / 50

Language History Lexical Change Lexical Change 'soh₂-wl◌̩ - sh₂uˈen- SUN Indo-European soːwel- sunːoː- SUN Germanic soːl- SUN soːlikul- SMALL SUN Romance solej SUN French sol SUN Spanish zɔnə SUN German suːl SUN Swedish SEM ANTIC SHIFT M O RPH O LO G ICAL CH AN G E M O R PH O LO G ICA L CH A N G E MORPHOLOGICAL CHANGE MORPHOLOGICAL CHANGE 11 / 50

Language History Lexical Change Lexical Change arbre 12 / 50

Language History Lexical Change Lexical Change form "meaning" 12 / 50

Language History Lexical Change Lexical Change arbre 12 / 50

Language History Lexical Change Lexical Change 12 / 50

Language History Lexical Change Lexical Change arbre MEANING FORM LANGUAGE 12 / 50

Language History Lexical Change Lexical Change FORM LANGUAGE MEANING arbre 12 / 50

Language History Lexical Change Lexical Change arbre MEANING FORM LANGUAGE MEANING FORM LANGUAGE 12 / 50

Language History Lexical Change Lexical Change SEMANTIC CHANGE MORPHOLOGICAL CHANGE S T R A T IC C H A N G E Gévaudan (2007) 12 / 50

Language History Lexical Change Lexical Change kop Kopf Kopf köpfen World Cup Welt- ccup Old High German Standard German MORPHOLOGICAL CHANGE SEMANTIC CHANGE SEMANTIC CHANGE STRATIC CHANGE MORPHOLOGICAL CHANGE 12 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa l > j 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j l > l 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j l > l l > j / p _ 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j l > l l > j / p _ Not sounds change, sound systems change (Bloomfield 1933)! 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j l > l l > j / p _ Not sounds change, sound systems change (Bloomfield 1933)! Sound change depends on the context in which the sounds occur! 13 / 50

Language History Sound Change Sound Change Meaning Latin Italian ‘FEATHER’ pluːma pjuma ‘FLAT’ plaːnus pjano ‘SQUARE’ plateːa pjaʦːa Meaning Latin Italian ‘TONGUE’ liŋgua liŋgwa ‘MOON’ lu:na luna ‘SLOW’ lentus lento l > j l > l l > j / p _ Not sounds change, sound systems change (Bloomfield 1933)! Sound change depends on the context in which the sounds occur! Sound change largely follows irreversible patterns! 13 / 50

Biological Approaches in Historical Linguistics Biological Approaches in Historical Linguistics 14 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past The Geological Evidences of The Antiquity of Man with Remarks on Theories of The Origin of Species by Variation By Sir Charles Lyell London John Murray, Albemarle Street 1863 15 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past If we new not- hing of the existence of Latin, - if all historical documents previous to the fin- teenth century had been lost, - if tra- dition even was si- lent as to the former existance of a Ro- man empire, a me- re comparison of the Italian, Spanish, Portuguese, French, Wallachian, and Rhaetian dialects would enable us to say that at some time there must ha- ve been a language, from which these six modern dialects derive their origin in common. 15 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Uniformitarianism (Charles Lyell) 16 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Uniformitarianism (Charles Lyell) Uniformity of Change: Laws of change are uniform. They have applied in the past as they apply now and will apply in the future, no matter at which place. 16 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Uniformitarianism (Charles Lyell) Uniformity of Change: Laws of change are uniform. They have applied in the past as they apply now and will apply in the future, no matter at which place. Graduality of Change: Change proceeds gradually, not abrupt. 16 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Uniformitarianism (Charles Lyell) Uniformity of Change: Laws of change are uniform. They have applied in the past as they apply now and will apply in the future, no matter at which place. Graduality of Change: Change proceeds gradually, not abrupt. Abductive Reasoning: We can infer past events and processes by investigating patterns observed in the present, which becomes the “key to the interpretation of some mystery in the archives of remote ages” (Lyell 1830: 165) 16 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Uniformitarianism (August Schleicher) Language Change is a gradual process (Schleicher 1848: 25). is a law-like process (Schleicher 1848: 25). is a natural process which occurs in all languages (Schleicher 1848: 25). universal process which occurs in all times (Schleicher 1863[1873]: 10f). allows us to infer past processes and extinct languages by investigating the languages of the present (see Schleicher 1848: 25). 17 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Summary It was not the direct exchange of ideas that lead to the de- velopment of similar approaches in biology and linguistics, but the astonishing fact that scholars in both fields would at about the same time detect striking parallels between both disciplines, both regarding their theoretical founda- tions and the processes they were investigating. 18 / 50

Biological Approaches in Historical Linguistics Keys to the Past Keys to the Past: Summary It was not the direct exchange of ideas that lead to the de- velopment of similar approaches in biology and linguistics, but the astonishing fact that scholars in both fields would at about the same time detect striking parallels between both disciplines, both regarding their theoretical founda- tions and the processes they were investigating. And linguists were the first to draw trees! 18 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn “Indo-European and computational cladistics” (Ringe, Warnow and Taylor 2002) “Language-tree divergence times support the Anatolian theory of Indo-European origin” (Gray und Atkinson 2003) “Language classification by numbers” (McMahon und McMahon 2005) “Curious Parallels and Curious Connections: Phylogenetic Thinking in Biology and Historical Linguistics” (Atkinson und Gray 2005) “Automated classification of the world’s languages” (Brown et al. 2008) “Indo-European languages tree by Levenshtein distance” (Serva and Petroni 2008) “Networks uncover hidden lexical borrowing in Indo-European language evolution” (Nelson-Sathi et al. 2011) 19 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn “Indo-European and computational cladistics” (Ringe, Warnow and Taylor 2002) “Language-tree divergence times support the Anatolian theory of Indo-European origin” (Gray und Atkinson 2003) “Language classification by numbers” (McMahon und McMahon 2005) “Curious Parallels and Curious Connections: Phylogenetic Thinking in Biology and Historical Linguistics” (Atkinson und Gray 2005) “Automated classification of the world’s languages” (Brown et al. 2008) “Indo-European languages tree by Levenshtein distance” (Serva and Petroni 2008) “Networks uncover hidden lexical borrowing in Indo-European language evolution” (Nelson-Sathi et al. 2011) 19 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Words as Genes Basic Concept German ID English ID Italian ID French ID HAND Hand 1 hand 1 mano 2 main 2 BLOOD Blut 3 blood 3 sangue 4 sang 4 HEAD Kopf 5 head 6 testa 7 tête 7 TOOTH Zahn 8 tooth 8 dente 8 dent 8 TO SLEEP schlafen 9 sleep 9 dormir 10 dormir 10 TO SAY sagen 11 say 11 dire 12 dire 12 ... ... ... ... ... ... ... ... ... 20 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Words as Genes Basic Concept German ID English ID Italian ID French ID HAND Hand 1 hand 1 mano 2 main 2 BLOOD Blut 3 blood 3 sangue 4 sang 4 HEAD Kopf 5 head 6 testa 7 tête 7 TOOTH Zahn 8 tooth 8 dente 8 dent 8 TO SLEEP schlafen 9 sleep 9 dormir 10 dormir 10 TO SAY sagen 11 say 11 dire 12 dire 12 ... ... ... ... ... ... ... ... ... 20 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Words as Genes ID Proto-Form Basic Concept German English Italian French 1 PGM *xanda- HAND 1 1 0 0 2 LAT mānus HAND 0 0 1 1 3 PGM *blođa- BLOOD 1 1 0 0 4 LAT sanguis BLOOD 0 0 1 1 5 PGM *kuppa- HEAD 1 0 0 0 6 PGM *xawbda- HEAD 0 1 0 0 7 LAT tēsta HEAD 0 0 1 1 8 PIE *h3 dont- TOOTH 1 1 1 1 9 PGM *slēpan- TO SLEEP 1 1 0 0 10 LAT dormīre TO SLEEP 0 0 1 1 11 PGM *sagjan- TO SAY 1 1 0 0 12 LAT dīcere TO SAY 0 0 1 1 ... ... ... ... ... ... ... 20 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Words as Genes English 111 German 101 French 000 Italian 001 101 001 001 + B − C + A Char. English German French Italian A 1 1 0 0 B 1 0 0 0 C 1 1 0 1 20 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Sounds as Nuclein Bases Concept German English Italian French “HAND” G E I F Hand 0 1 2 3 hand 1 0 2 3 mano 2 2 0 2 main 3 3 2 0 “BLOOD” G E I F Blut 0 4 5 4 blood 4 0 6 5 sangue 5 6 0 2 sang 4 5 2 0 Edit Distances between Orthographic Entries 21 / 50

Biological Approaches in Historical Linguistics The Quantitative Turn The Quantitative Turn: Sounds as Nuclein Bases German English Italian French German 0 30 60 55 English 30 0 60 50 Italian 60 60 0 20 French 55 50 20 0 21 / 50

Biological Approaches in Historical Linguistics Analogies and Parallels Analogies and Parallels Parallels between Species and Languages (Pagel 2009) aspect species languages unit of replication gene word replication asexual und sexual reproduction learning speciation cladogenesis language split forces of change natural selection and genetic drift social selection and trends differentiation tree-like tree-like 22 / 50

Biological Approaches in Historical Linguistics Analogies and Parallels Analogies and Parallels 23 / 50

Biological Approaches in Historical Linguistics Analogies and Parallels Analogies and Parallels 23 / 50

Biological Approaches in Historical Linguistics Analogies and Parallels Analogies and Parallels Differences between Species and Languages (Geisler & List 2013) Aspect Species Languages domain Popper’s World I Popper’s World III relation between form and function mechanical arbitrary origin monogenesis unclear sequence similarity universal (indepen- dent of species) language-specific differentiation tree-like network-like 24 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Alphabets 25 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Alphabets • universal • language-specific 25 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Alphabets • universal • language-specific • limited • widely varying 25 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Alphabets • universal • language-specific • limited • widely varying • constant • mutable 25 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes GENES <=> WORDS HOMOLOGS <=> COGNATES 26 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology The term homology was coined by Richard Owen (1804–1892), who distinguished ‘homologues’, as ‘the same organ in different animals under every variety of form and function’ (Owen 1843: 379), from from ‘analogues’ as an ‘organ in one animal which has the same function as another part or organ in a different animal’ (ibid.: 374). 27 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology The term homology was coined by Richard Owen (1804–1892), who distinguished ‘homologues’, as ‘the same organ in different animals under every variety of form and function’ (Owen 1843: 379), from from ‘analogues’ as an ‘organ in one animal which has the same function as another part or organ in a different animal’ (ibid.: 374). Nowadays, it commonly denotes a ‘relationship of common descent between any entities, without further specification of the evolutionary scenario’ (Koonin 2005: 311). 27 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology The term homology was coined by Richard Owen (1804–1892), who distinguished ‘homologues’, as ‘the same organ in different animals under every variety of form and function’ (Owen 1843: 379), from from ‘analogues’ as an ‘organ in one animal which has the same function as another part or organ in a different animal’ (ibid.: 374). Nowadays, it commonly denotes a ‘relationship of common descent between any entities, without further specification of the evolutionary scenario’ (Koonin 2005: 311). With respect to specific scenarios of common descent, molecular biologists characterize relationships between homologous genes further by distinguishing between orthology, paralogy, and xenology. 27 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology B A C D duplication speciation lateral transfer D D orthologs paralogs xenologs B C D B A A B A B List (under review) 28 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology Historical Relations Terminology Biology Linguistics common descent direct homology orthology cognacy.... ? oblique cognacy indirect paralogy involving lateral transfer xenology ? Linguistics indirect cognate relation (oblique cognacy) cognate relation (cognacy) ? ? ? 28 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology Historical Relations Terminology Biology Linguistics common descent direct homology orthology cognacy.... ? oblique cognacy indirect paralogy involving lateral transfer xenology ? Linguistics direct cognate relation etymological relation indirect cognate relation (oblique cognacy) indirect etymological relation cognate relation (cognacy) List (2014) 28 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology Relation Biol. Term continuity traditional notion of cognacy - + +/- +/- cognacy à la Swadesh - + +/- + direct cognate relation orthology + + + oblique cognate relation paralogy (?) + - + etymological relation homology +/- +/- +/- oblique etymological relation xenology - +/- +/- ... ... ... ... ... Stratic Morpho- logical Seman- tic List (under review) 28 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Homology Italian dare French donner Indo-European *deh₃- *deh₃-no- Latin dare dōnum dōnāre Italian sole French soleil Swedish sol German Sonne Germanic *sōwel- *sunnō- Latin sol soliculus Indo-European *sóh₂-wl̩ - *sh₂én- A B List (under review) 28 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Semantic Change hand arm foot day m eat animal day sand moon leg T₁ 29 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Semantic Change hand arm foot day m eat animal day sand moon leg T₁ hand arm foot day m eat animal day sand moon leg T₂ 29 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Semantic Change hand arm foot day m eat animal day sand moon leg T₂ ? ? ? 29 / 50

Biological Approaches in Historical Linguistics Differences Differences in the Change Processes: Semantic Change hand arm foot day m eat animal day sand moon leg T₂ hand arm foot day m eat animal sun sand moon leg 29 / 50

New Approaches to Phylogenetic Reconstruction New Approaches to Phylogenetic Reconstruction 30 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Sound Change in the Tukano Languages Tucanoan Quechuan Huitotoan Unclassified / Other Arawakan Cariban Boran Nadahup Mai Colombia Colombia Brazil Brazil Peru Peru Sek Sio Mac Kue Tam Kub Wan Des Pir Kar Mak Tan Kur Pis Yah Yup Bas Bar Tat Yur Sir Tuy Tuk Chacon and List (in press) 31 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Sound Change in the Tukano Languages *P CT Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Tuk Bar Tat Kar Pis Tuy Yur Pir Wan *p #_ h h h h h p/ɸ p p p p h h p p p p p p p p ph *p V_V h h h h h p/ɸ p p p p h h p p p p p p p p p *pʔ #_ pʔ pʔ p ʔb p/b b b b b b b b b b b b b b b b b *pʔ V_V h h h h h vʔp b b b b b b vʔp p p p p p p vʔp vʔp *pʔ ~V_V h h h h h vʔb b b b b b b vʔb b b b b b b vʔb vʔb *pʔ #_V*p h h h h h p p b b b b b b b b b b b b b b *w w w w b w w w w w w w w w w w w w w w w w *m m m m m m b b b b b b b b b b b b b b b b *t #_ t t th t t t t t t t t t t t t t t t t t th *t V_V t t th t t t d d d d t t t t t t t t t t t *t ~V_V t t th t n d d d d d t t t t t t t t t t t *tt V_V t t th t t t t/t∫ t t t t t t t t t t t t t t *tʔ #_ ɖ d r ʔd r/l r d d d d r r d d r r d d d d d *tʔ V_V t t th t t/l t d d d d d d vʔt t t t t t t vʔt vʔt *tʔ ~V_V t t t t n vʔr d d d d d d vʔd d d d d d d vʔd vʔd *s #_ s s s s s h h s s s t∫ t∫ s h h h h s s s s *s V_V s s s s/t∫ s h h s s s t∫ t∫ s h h s t∫ s s s s *ts #_ s s s s/t∫ t/s h h j j ts/s j j j j j j j j j j j *ts V_V s s s s t h h s s ts t∫ t∫ s h h s t∫ s s s s *t∫ #_ t∫ s s s t h h s s t∫ t∫ t∫ s h h h h s s s s *tsʔ #_ sʔ sʔ j d j j h j j j j j j j j j j j j j j *tsʔ #_ i sʔ sʔ j j r/l r h d d d r r d d r r d d d d d *j #_ j j j j j j j j j j j j j j j j j j j j j *j V_V j j j j j j j j j j j/t∫ j/t∫ s h h s t∫ s s s s *n n d n n n d d d d d d d d d d d d d d d d *k #_ k k kh k k k k k k k k k k k k k k k k k kh *k V_V k k kh k k k k g g g k k k k k k k k k k k *k i,e__ k k kh k k k k k k k k k k k k k k k k k t∫ *k ~V_V k k kh k k k Ø g g g k k k k k k k k k k k *kk k k kh k k k k k k k k k k k k k k k k k k *kʔ #_ kʔ kʔ k g / Ø k/g Ø k g g g g g Ø Ø Ø Ø k k k k kh *kʔ V_V k k kh k ND k Ø g g g g g vʔk k k k k k k vʔk vʔk *h Ø Ø Ø Ø h Ø Ø h h h h h h Ø Ø Ø Ø Ø Ø h h *ʔ ʔ ʔ ʔ Ø Ø/h ʔ Ø Ø/ʔ Ø/ʔ Ø Ø Ø ʔ Ø Ø Ø Ø Ø Ø Ø ʔ Chacon and List (in press) 32 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Sound Change in the Tukano Languages *P CT Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Tuk Bar Tat Kar Pis Tuy Yur Pir Wan *p #_ h h h h h p/ɸ p p p p h h p p p p p p p p ph *p V_V h h h h h p/ɸ p p p p h h p p p p p p p p p *pʔ #_ pʔ pʔ p ʔb p/b b b b b b b b b b b b b b b b b *pʔ V_V h h h h h vʔp b b b b b b vʔp p p p p p p vʔp vʔp *pʔ ~V_V h h h h h vʔb b b b b b b vʔb b b b b b b vʔb vʔb *pʔ #_V*p h h h h h p p b b b b b b b b b b b b b b *w w w w b w w w w w w w w w w w w w w w w w *m m m m m m b b b b b b b b b b b b b b b b *t #_ t t th t t t t t t t t t t t t t t t t t th *t V_V t t th t t t d d d d t t t t t t t t t t t *t ~V_V t t th t n d d d d d t t t t t t t t t t t *tt V_V t t th t t t t/t∫ t t t t t t t t t t t t t t *tʔ #_ ɖ d r ʔd r/l r d d d d r r d d r r d d d d d *tʔ V_V t t th t t/l t d d d d d d vʔt t t t t t t vʔt vʔt *tʔ ~V_V t t t t n vʔr d d d d d d vʔd d d d d d d vʔd vʔd *s #_ s s s s s h h s s s t∫ t∫ s h h h h s s s s *s V_V s s s s/t∫ s h h s s s t∫ t∫ s h h s t∫ s s s s *ts #_ s s s s/t∫ t/s h h j j ts/s j j j j j j j j j j j *ts V_V s s s s t h h s s ts t∫ t∫ s h h s t∫ s s s s *t∫ #_ t∫ s s s t h h s s t∫ t∫ t∫ s h h h h s s s s *tsʔ #_ sʔ sʔ j d j j h j j j j j j j j j j j j j j *tsʔ #_ i sʔ sʔ j j r/l r h d d d r r d d r r d d d d d *j #_ j j j j j j j j j j j j j j j j j j j j j *j V_V j j j j j j j j j j j/t∫ j/t∫ s h h s t∫ s s s s *n n d n n n d d d d d d d d d d d d d d d d *k #_ k k kh k k k k k k k k k k k k k k k k k kh *k V_V k k kh k k k k g g g k k k k k k k k k k k *k i,e__ k k kh k k k k k k k k k k k k k k k k k t∫ *k ~V_V k k kh k k k Ø g g g k k k k k k k k k k k *kk k k kh k k k k k k k k k k k k k k k k k k *kʔ #_ kʔ kʔ k g / Ø k/g Ø k g g g g g Ø Ø Ø Ø k k k k kh *kʔ V_V k k kh k ND k Ø g g g g g vʔk k k k k k k vʔk vʔk *h Ø Ø Ø Ø h Ø Ø h h h h h h Ø Ø Ø Ø Ø Ø h h *ʔ ʔ ʔ ʔ Ø Ø/h ʔ Ø Ø/ʔ Ø/ʔ Ø Ø Ø ʔ Ø Ø Ø Ø Ø Ø Ø ʔ h s d d d k k k k k k k k k k k k Chacon and List (in press) 32 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Sound Change in the Tukano Languages *P CT Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Tuk Bar Tat Kar Pis Tuy Yur Pir Wan *p #_ h h h h h p/ɸ p p p p h h p p p p p p p p ph *p V_V h h h h h p/ɸ p p p p h h p p p p p p p p p *pʔ #_ pʔ pʔ p ʔb p/b b b b b b b b b b b b b b b b b *pʔ V_V h h h h h vʔp b b b b b b vʔp p p p p p p vʔp vʔp *pʔ ~V_V h h h h h vʔb b b b b b b vʔb b b b b b b vʔb vʔb *pʔ #_V*p h h h h h p p b b b b b b b b b b b b b b *w w w w b w w w w w w w w w w w w w w w w w *m m m m m m b b b b b b b b b b b b b b b b *t #_ t t th t t t t t t t t t t t t t t t t t th *t V_V t t th t t t d d d d t t t t t t t t t t t *t ~V_V t t th t n d d d d d t t t t t t t t t t t *tt V_V t t th t t t t/t∫ t t t t t t t t t t t t t t *tʔ #_ ɖ d r ʔd r/l r d d d d r r d d r r d d d d d *tʔ V_V t t th t t/l t d d d d d d vʔt t t t t t t vʔt vʔt *tʔ ~V_V t t t t n vʔr d d d d d d vʔd d d d d d d vʔd vʔd *s #_ s s s s s h h s s s t∫ t∫ s h h h h s s s s *s V_V s s s s/t∫ s h h s s s t∫ t∫ s h h s t∫ s s s s *ts #_ s s s s/t∫ t/s h h j j ts/s j j j j j j j j j j j *ts V_V s s s s t h h s s ts t∫ t∫ s h h s t∫ s s s s *t∫ #_ t∫ s s s t h h s s t∫ t∫ t∫ s h h h h s s s s *tsʔ #_ sʔ sʔ j d j j h j j j j j j j j j j j j j j *tsʔ #_ i sʔ sʔ j j r/l r h d d d r r d d r r d d d d d *j #_ j j j j j j j j j j j j j j j j j j j j j *j V_V j j j j j j j j j j j/t∫ j/t∫ s h h s t∫ s s s s *n n d n n n d d d d d d d d d d d d d d d d *k #_ k k kh k k k k k k k k k k k k k k k k k kh *k V_V k k kh k k k k g g g k k k k k k k k k k k *k i,e__ k k kh k k k k k k k k k k k k k k k k k t∫ *k ~V_V k k kh k k k Ø g g g k k k k k k k k k k k *kk k k kh k k k k k k k k k k k k k k k k k k *kʔ #_ kʔ kʔ k g / Ø k/g Ø k g g g g g Ø Ø Ø Ø k k k k kh *kʔ V_V k k kh k ND k Ø g g g g g vʔk k k k k k k vʔk vʔk *h Ø Ø Ø Ø h Ø Ø h h h h h h Ø Ø Ø Ø Ø Ø h h *ʔ ʔ ʔ ʔ Ø Ø/h ʔ Ø Ø/ʔ Ø/ʔ Ø Ø Ø ʔ Ø Ø Ø Ø Ø Ø Ø ʔ *P CT Sio *p #_ h *p V_V h *pʔ #_ pʔ *pʔ V_V h *pʔ ~V_V h Chacon and List (in press) 32 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Modeling Sound Change Chacon and List (in press) The tabular data represents us the sound system of a set of languages in a very abstract form. 33 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Modeling Sound Change Chacon and List (in press) The tabular data represents us the sound system of a set of languages in a very abstract form. It further presents statements on the cognacy of sounds. We can think of sound change as of the transition between different states in phonetic space. 33 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Modeling Sound Change Chacon and List (in press) The tabular data represents us the sound system of a set of languages in a very abstract form. It further presents statements on the cognacy of sounds. We can think of sound change as of the transition between different states in phonetic space. Transitions have directional preferences, they are restricted by the context in which sounds occur in the lexicon of a language, and they are restricted by the system of the language as a whole. 33 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Modeling Sound Change Chacon and List (in press) The tabular data represents us the sound system of a set of languages in a very abstract form. It further presents statements on the cognacy of sounds. We can think of sound change as of the transition between different states in phonetic space. Transitions have directional preferences, they are restricted by the context in which sounds occur in the lexicon of a language, and they are restricted by the system of the language as a whole. We can model this process by using traditional parsimony analyses for phylogenetic reconstruction which we modify by allowing for multiple character states and asymetric scoring matrices that handle transitions. 33 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States PARSIMONY Chacon and List (in press) 34 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States PARSIMONY Chacon and List (in press) 34 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States DON'T TOUCH MY RAZOR -- OCCAM -- PARSIMONY Chacon and List (in press) 34 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B C D Transitions A B C D A C D B A C D B A C B D A D B C A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B C D Transitions A B C D A C D B A C D B A C B D A D B C A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B C D Transitions A B C D A C D B A C D B A C B D A D B C A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B C D Transitions A B C D A C D B A C D B A C B D A D B C A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B C D Transitions A B C D A C D B A C D B A C B D A D B C A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B D C A D C B B C D A A B C D Transitions A B C D A C D B A C D B A C B D A B D C A D C B A D B C B C D A A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A A B C D Character state Language A B D C A D C B B C D A A B C D Transitions A B C D A C D B A C D B A C B D A B D C A D C B A D B C B C D A A B C D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions B A B C D A B C D A C D B A B D C Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions B A B C D A B C D A C D B A B D C Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions C A B C D A B C D A B D C Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions C A B C D A B C D A B D C Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States A B C D Character state Language A B C D Transitions A B C D D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Directed, Weighted, Multi-State Parsimony with Latent States C A B C D A B C D A B D C A A B D C A D C B B C D A A B C D A C D B A C D B A C B D A B D C A D C B A D B C B C D A A B C D B A B C D A B C D A C D B A B D C A B C D D Chacon and List (in press) 35 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Workflow A Matrix of Reflexes tʃ h s x LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 LANGUAGE 5 tʃ LANGUAGE 6 LANGUAGE 7 LANGUAGE 8 tʃ x s Chacon and List (in press) 36 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Workflow k tʃ h s x B Reflexes (including proto-form) A Matrix of Reflexes tʃ h s x LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 LANGUAGE 5 tʃ LANGUAGE 6 LANGUAGE 7 LANGUAGE 8 tʃ x s Chacon and List (in press) 36 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Workflow k tʃ h s x k tʃ s → tʃ ʃ ʃ → → k x h h → → s B Reflexes (including proto-form) C Transitions (provided by expert) x → A Matrix of Reflexes tʃ h s x LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 LANGUAGE 5 tʃ LANGUAGE 6 LANGUAGE 7 LANGUAGE 8 tʃ x s Chacon and List (in press) 36 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Workflow k tʃ h s x k tʃ s → tʃ ʃ ʃ → → k x h h → → s k s tʃ ʃ x h B Reflexes (including proto-form) C Transitions (provided by expert) D Conversion to directed network x → A Matrix of Reflexes tʃ h s x LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 LANGUAGE 5 tʃ LANGUAGE 6 LANGUAGE 7 LANGUAGE 8 tʃ x s Chacon and List (in press) 36 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Workflow k tʃ h s x k tʃ s → tʃ ʃ ʃ → → k x h h → → s k s tʃ ʃ x h B Reflexes (including proto-form) C Transitions (provided by expert) D Conversion to directed network k x tʃ ʃ s h k 0 1 1 2 3 2 x 50 0 50 50 50 1 tʃ 50 50 0 1 2 3 ʃ 50 50 50 0 1 2 s 50 50 50 50 0 1 h 50 50 50 50 50 0 E Creation of Transition Matrix x → A Matrix of Reflexes tʃ h s x LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 LANGUAGE 5 tʃ LANGUAGE 6 LANGUAGE 7 LANGUAGE 8 tʃ x s Chacon and List (in press) 36 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Implementation Chacon and List (in press) Software for the computation is implemented in Python. Tree search is carried out with help of a straightforward genetic algorithm. Only heuristics can be used since tree space is to large for more than 10 languages. Application produces interactive applications with help of which the data can be browsed in all its details (see https://digling.github.io/tukano-paper/). 37 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Results Model Parsimony Score Most Parsimonious Trees Homoplasy Reconstruction Success FITCH 107 716 0.67 35% SANKOFF 148 1019 0.82 33% WDT 182 18 1.9 90% Chacon and List (in press) 38 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Results Des Sir Yup Pir Tuk Wan Yur Tuy Pis Kar Tat Bar Tan Kub Mak Bas Kue Mai Kor Sek Sio Western Tukano East-Eastern Tukano South-Eastern Tukano West-Eastern Tukano 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 unweighted, no directional preferences FITCH Chacon and List (in press) 38 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Results Tan Tat Kar Bar Pis Tuy Yur Pir Tuk Wan Kub Sir Des Yup Mak Bas Kue Mai Kor Sek Sio Western Tukano East-Eastern Tukano South-Eastern Tukano West-Eastern Tukano 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.58 1.0 1.0 1.0 1.0 0.5 1.0 0.99 1.0 1.0 weighted, no directional preferences SANKOFF Chacon and List (in press) 38 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Results Tan Kub Pis Tuy Yur Kar Tat Bar Pir Tuk Wan Yup Sir Des Mak Bas Sek Sio Mai Kor Kue Western Tukano East-Eastern Tukano South-Eastern Tukano West-Eastern Tukano 1.0 0.67 0.67 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 weighted, directional preferences DiWeST Chacon and List (in press) 38 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Sound Change in the Tukano Languages Examples vʔp h pʔ b p → → → → Sio Sek Kor Mai Kue Tan Kub Des Sir Yup Bas Mak Wan Pir Kar Pis Tuy Yur Tuk Tat Bar Chacon and List (in press) 39 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects German m oː n t - English m uː n - - Danish m ɔː n - ə Swedish m oː n - e List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects German m oː n t - English m uː n - - Danish m ɔː n - ə Swedish m oː n - e Fúzhōu ŋ u o ʔ ⁵ - - - - - - - - - - Měixiàn ŋ i a t ⁵ - - - - - k u o ŋ ⁴⁴ Guǎngzhōu j - y t ² l - œ ŋ ²² - - - - - Běijīng - y ɛ - ⁵¹ l i ɑ ŋ - - - - - - List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects German m oː n t - English m uː n - - Danish m ɔː n - ə Swedish m oː n - e Fúzhōu ŋ u o ʔ ⁵ - - - - - - - - - - Měixiàn ŋ i a t ⁵ - - - - - k u o ŋ ⁴⁴ Guǎngzhōu j - y t ² l - œ ŋ ²² - - - - - Běijīng - y ɛ - ⁵¹ l i ɑ ŋ - - - - - - 1 2 3 4 number of morphemes per word 0.0 0.2 0.4 0.6 0.8 1.0 relative frequency all words nouns Compounds in the basic vocabulary (Swadesh1952) across 23 Chinese dialects (data by Hamed and Wang 2006) 30% 50% List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects German m oː n t - English m uː n - - Danish m ɔː n - ə Swedish m oː n - e Fúzhōu ŋ u o ʔ ⁵ - - - - - - - - - - Měixiàn ŋ i a t ⁵ - - - - - k u o ŋ ⁴⁴ Guǎngzhōu j - y t ² l - œ ŋ ²² - - - - - Běijīng - y ɛ - ⁵¹ l i ɑ ŋ - - - - - - "MOON" "MOON" "SHINE" "LIGHT" List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects Fúzhōu Měixiàn Guǎngzhōu Běijīng List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Lexical Change in the Chinese Dialects Fúzhōu Měixiàn Guǎngzhōu Běijīng INNO VATIO N INNO VATIO N INNO VATIO N BO RRO W ING LO SS INNO VATIO N INNO VATIO N List (under review) 40 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy List (under review) We cannot model partial cognacy sufficiently when restricting our analyses to binary gain-loss models, as they are common in Bayesian phylogenetic analyses. Partial cognacy is too frequent to be ignored, not only in Sino-Tibetan languages, but also in many other language families (Austro-Asiatic, Hmong-Mien, Tai-Kadai). If we define binary cognacy on the basis of common morphemes, the majority of the items in our datasets will become cognate and we will loose a great deal of the phylogenetic signal. If we define binary cognacy on the basis of identical morphemes in all words, the majority of the items in our datasets will become non-cognate, and we will again loose a great deal of phylogenetic signal. 41 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy A AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy A AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects The Crux with Partial Cognacy When dealing with language families in which compounding and morphological derivation is so frequent that it covers more than 30 percent of the basic vocabulary of the languages, we need to incorporate partial cognacy our phylogenetic models. List (under review) 42 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change A AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 43 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 43 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change AC ABD AB A LANGUAGE 1 LANGUAGE 2 LANGUAGE 3 LANGUAGE 4 List (under review) 43 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change 月 月光 月光佛 月亮 月 0 1 2 1 月光 2 0 1 2 月光佛 4 2 0 4 月亮 2 2 3 0 月 月光 月光佛 月亮 月 0 1 2 1 月光 1 0 1 2 月光佛 2 1 0 3 月亮 1 2 3 0 月 月光 月光佛 月亮 月 0 1 1 1 月光 1 0 1 1 月光佛 1 1 0 1 月亮 1 1 1 0 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 2 = 1 = 4 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 1 = 1 = 3 Transition Penalty (SANKOFF) Transition Penalty (DWST) 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 2 A B C List (under review) 44 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change 月 月光 月光佛 月亮 月 0 1 2 1 月光 2 0 1 2 月光佛 4 2 0 4 月亮 2 2 3 0 月 月光 月光佛 月亮 月 0 1 2 1 月光 1 0 1 2 月光佛 2 1 0 3 月亮 1 2 3 0 月 月光 月光佛 月亮 月 0 1 1 1 月光 1 0 1 1 月光佛 1 1 0 1 月亮 1 1 1 0 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 2 = 1 = 4 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 1 = 1 = 3 Transition Penalty (SANKOFF) Transition Penalty (DWST) 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 2 A B C List (under review) 44 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Directed, Weighted, Multi-State Parsimony and Lexical Change 月 月光 月光佛 月亮 月 0 1 2 1 月光 2 0 1 2 月光佛 4 2 0 4 月亮 2 2 3 0 月 月光 月光佛 月亮 月 0 1 2 1 月光 1 0 1 2 月光佛 2 1 0 3 月亮 1 2 3 0 月 月光 月光佛 月亮 月 0 1 1 1 月光 1 0 1 1 月光佛 1 1 0 1 月亮 1 1 1 0 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 2 = 1 = 4 月 光 月 光 佛 - 月 亮 月 光 佛 - 0 0 1 0 2 1 = 1 = 3 Transition Penalty (SANKOFF) Transition Penalty (DWST) 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 2 A B C List (under review) 44 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Testing the Method on Chinese Dialect Data List (under review) 22 Chinese dialect varieties with Chinese character readings (basis vocabulary, data by Hamed and Wang 2006), 57 nouns in which Ancient Chinese forms expressing the concepts are known to us and are are also still preserved in at least one Chinese dialect, three reference phylogenies (Arbre by Sagart 2011, Southern Chinese by Norman 2003, Shùxíngtú by Yóu 1992), four models of lexical change (binary, unweighted, weighted, weighted and directed). 45 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Results Model Arbre Hits Fails Score BINARY 0.55 / 31.04 0.45 / 24.96 695 FITCH 0.63 / 35.51 0.37 / 20.49 322 SANKOFF 0.76 / 42.83 0.24 / 13.17 508 DWST 0.82 / 45.70 0.18 / 10.30 532 Model Southern Chinese Hits Fails Score BINARY 0.52 / 28.95 0.48 / 27.05 719 FITCH 0.47 / 26.40 0.53 / 29.60 328 SANKOFF 0.62 / 34.50 0.38 / 21.50 518 DWST 0.79 / 44.50 0.21 / 11.50 546 Xiāng Yuè Mǐn Wú Mandarin Hakka Gàn Xiāng Yuè Wú Mandarin Mǐn Hakka Gàn Xiāng Mandarin Wú Yuè Mǐn Hakka Gàn Model Shùxíngtú Hits Fails Score BINARY 0.52 / 29.04 0.48 / 26.96 726 FITCH 0.51 / 28.31 0.49 / 27.69 336 SANKOFF 0.67 / 37.50 0.33 / 18.50 524 DWST 0.82 / 46.00 0.18 / 10.00 546 List (under review) 46 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

New Approaches to Phylogenetic Reconstruction Lexical Change in the Chinese Dialects Examples Fúzhōu Táiběi Xiàmén Zhāngpíng Mǐn Guǎngzhōu Měixiàn Liánchéng Hakka Wēnzhōu Níngbō Sūzhōu Shànghǎi Shànghǎi_B Wú Nánchāng Ānyì Gàn Chángshā Shuāngfēng Xiāng Yàngshān Wǔhàn Níngxià Chéngdū Běijīng Tàiyuán Yúcì Guānhuà 月 月娘 月光佛 月光 月亮 月明 ‘MOON’ ‘MOON-MOTHER’ ‘MOON-LIGHT’ ‘MOON-LIGHT-SUFFIX’ ‘MOON-SHINE’ ‘MOON-BRIGHT’ List (under review) 47 / 50

Outlook Outlook Outlook 48 / 50

Outlook Outlook If we want to profit from computational analyses in historical linguistics, we need to increase the complexity of our models. In order to profit from existing biological approaches, we need to foster a close collaboration between computational linguistics, computational biologists, but also and especially between classical biologists and linguistics. Without the appropriate datasets for testing, and software that is free for all scientists to use, all efforts will be in vain. Computational linguists should make sure that they standardize their data and make all of the code they use for their analyses freely available along with their publications. 49 / 50

Merci pour votre attention! 50 / 50