Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
SappoRo.R #11「R によるThe Multilingual Eye-trackin...
Search
sakaue
February 17, 2024
Education
120
0
Share
SappoRo.R #11「R によるThe Multilingual Eye-tracking COrpus (MECO) の探索的データ分析」
sakaue
February 17, 2024
More Decks by sakaue
See All by sakaue
RBC202003_Day2_Period5
sakaue
0
47
RBC202003_Day2_Period6
sakaue
0
110
RBC202003_Day2_Period7
sakaue
0
110
Rbootcamp202003_Day2_p8.pdf
sakaue
0
97
RBC202003_Day1_Period1
sakaue
1
87
RBC202003_Day1_Period2
sakaue
0
80
RBC202003_Day1_Period3
sakaue
0
110
RBC202003_Day1_Period4
sakaue
0
69
Other Decks in Education
See All in Education
Gesture-based Interaction - Lecture 6 - Next Generation User Interfaces (4018166FNR)
signer
PRO
1
2.1k
Activité_5_-_Les_indicateurs_du_climat_global.pdf
bernhardsvt
0
220
Chapitre_2_-_Partie_2.pdf
bernhardsvt
2
230
インシデント対応
akira345
0
380
Pen-based Interaction - Lecture 4 - Next Generation User Interfaces (4018166FNR)
signer
PRO
0
2.2k
Lenguajes de Programacion (Ingresantes UNI 2026)
robintux
0
150
Google Antigravity エージェント・フ ァーストな開発パラダイムへの招待
mickey_kubo
1
110
Tangible, Embedded and Embodied Interaction - Lecture 7 - Next Generation User Interfaces (4018166FNR)
signer
PRO
0
2.1k
高校数学とJulia言語
shimizudan
0
140
Information Architectures - Lecture 2 - Next Generation User Interfaces (4018166FNR)
signer
PRO
1
1.9k
高校数学B「統計的な推測」 分野の問題と課題
shimizudan
2
130
応募課題(’25広島)
forget1900
0
970
Featured
See All Featured
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.2k
Utilizing Notion as your number one productivity tool
mfonobong
4
280
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.4k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.6k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.1k
Facilitating Awesome Meetings
lara
57
6.8k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
81
Paper Plane (Part 1)
katiecoart
PRO
0
6.2k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
120
Paper Plane
katiecoart
PRO
1
48k
Mind Mapping
helmedeiros
PRO
1
140
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.2k
Transcript
ʹΑΔ ࡕ্ ୢʢ@sakaueʣ The Multilingual Eye-tracking COrpus (MECO) ͷ୳ࡧతσʔλੳ
0. ࣗݾհ
0. ࣗݾհ • ౡमಓେֶ ਓจֶ෦ ӳޠӳจֶՊ • ઐɾؔ৺ͷ͋Δ • ୈೋݴޠशಘʢSecond
Language Acquisitionʣ • ίϯϐϡʔλࢧԉޠֶֶशʢComputer Assisted Language Learningʣ • Nagoya.R ɾSappoRo.R ݩओ࠵ɼ Hiroshima.R ओ࠵ ࡕ ্ ୢ (SAKAUE, Tatsuya)
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
ӳޠؔઅͷशಘݚڀ 1. ݚڀ༰ͷհ ֶशऀ͕ΜͰ͠·͏ΞϨ... ʢղऍࠔɼൃ৴ࠔʣ
ӳޠؔઅͷशಘݚڀͷత wशಘ͞ΕΔॱং wқΛܾΊΔཁҼ 1. ݚڀ༰ͷհ
शಘ͞ΕΔॱং? • Keenan & Comrie (1977) ओ֨ʼత֨ʼؒత֨ʼલஔࢺͷ త֨ʼଐ֨ʼൺֱڃͷత֨ ͱ͍͏ॱংͰؔઅԽ͞Ε͍͢ Noun
Phrase Accessibility Hierarchy 1. ݚڀ༰ͷհ
қΛܾΊΔͷ? ྨܕ هԱ ౷ޠ Keenan & Comrie (1977) ͳͲ L1(E):
Traxler et al. (2005) L1 (E): Traxler et al. (2005) L1/L2 (J): ᖒ࡚ (2009) 1. ݚڀ༰ͷհ
ઌߦݚڀͰ༻͍ΒΕΔؔઅͷछྨ RC type examples SS The boy [that sees the
girl] chases the policeman. SO The boy [that the girl sees] chases the policeman. OS The boy chases the girl [that sees the policeman]. OO The boy chases the girl [that the policeman sees] 1. ݚڀ༰ͷհ
1. ݚڀ༰ͷհ
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
2. ࢹઢܭଌσʔλͷՄࢹԽ “The salesman that product excited was mentioned in
the newsletter.”ͱ͍͏ӳจΛ ਓͷຊਓӳޠֶशऀ͕ಡΜͩࡍͷσʔλ
ఀཹ࣌ؒɾఀཹҐஔͳͲ͕ ه͞ΕΔͷͰ͕͢... 2. ࢹઢܭଌσʔλͷՄࢹԽ
ࢹઢͷيఀཹ࣌ؒʹ جͮ͘σʔλՄࢹԽΛ Λͬͯߦ͍͍ͨ
ɹɹɹͰ͜͏ՄࢹԽ͍ͨ͠! 2. ࢹઢܭଌσʔλͷՄࢹԽ
͜͏͍͏ͷɹɹɹͰՄࢹԽ͍ͨ͠! 2. ࢹઢܭଌσʔλͷՄࢹԽ
ͪͳΈʹ ͖͞΄ͲͷՄࢹԽʹ Xेສԁͷιϑτ͕͕͕͕... ʢ͓͢͢Ίͷ package ใͳͲ͕͋Εॿ͔Γ·͢ʣ
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
Agenda 1. ݚڀ༰ͷհ 2. ࢹઢܭଌσʔλͷՄࢹԽ 3. MECO ͱ୳ࡧతσʔλੳ
3. MECO ͱ୳ࡧతσʔλੳ • MECO ͷ֓ཁ • The Multilingual Eye-tracking
COrpus • ୈ1ݴޠʢL1ʣ͕ӳޠɺୈ2ݴޠʢL2ʣ͕ӳޠͷਓ • 12छͷӳޠͷจষ (98-185ޠ)ΛಡΜͩσʔλ • OSF ʹͯσʔλެ։
3. MECO ͱ୳ࡧతσʔλੳ
3. MECO ͱ୳ࡧతσʔλੳ • MECO ͷσʔλ֓ཁ • ޠҎ֎ʹ... शख़ʢࣗݾධՁʣͳͲ •
ͬͨػࡐʢEyeLinkʣใुͷֹͳͲهࡌ • R ͷίʔυͱ .rda ܗࣜͰͷσʔλ • R Ϣʔβʔʹݶ͍ͬͯΔײ͕͍͢͝w • ඞཁͳσʔλΛͬͯ write.csv ͯ͠ OK
3. MECO ͱ୳ࡧతσʔλੳ
3. MECO ͱ୳ࡧతσʔλੳ • MECO ͷ୳ࡧσʔλੳ • "who" ΛಡΜͰ͍ͨ࣌ؒʢ6ͭͷจʹؚ·ΕΔʣ •
200ms લޙʹதԝ • ؔࢺػೳޠͱಉ͡Α͏ͳॲཧʁ • forʢػೳޠͰಉ͡จࣈʣͷͱൺֱ • ֓Ͷಉ͡ʢ͕ͩ "who" ͷ͕Ίʣ
0 200 400 600 800 du ee en fi ge
gr he it no ru sp tr lang firstrun.dur (ms) lang du ee en fi ge gr he it no ru sp tr First Run Distribution whoͷ߹
0 200 400 600 800 du ee en fi ge
gr he it no ru sp tr lang firstrun.dur (ms) lang du ee en fi ge gr he it no ru sp tr First Run Distribution for ͷ߹
3. MECO ͱ୳ࡧతσʔλੳ
3. MECO ͱ୳ࡧతσʔλੳ
3. MECO ͱ୳ࡧతσʔλੳ ※ʮϦʔτϯʯఏڙͷαʔϏεΛར༻
3. MECO ͱ୳ࡧతσʔλੳ • MECO ͷσʔλ๊͕͑Δ՝(?) • ຊਓֶशऀͷσʔλ͕ͳ͍... • ѻ͏ਓ͕গͳ͘ɺ࣮ݧڥ͕Θͳ͍͜ͱ
• MECO ͱಉ͡՝Λ͜ͳ͢ͷʹɺͦΕͳΓ ͷशख़Ͱͳ͍ͱ͍͔͠ • ಛఆͷจ๏ࣄ߲Λରʹͯ͠ੳ͢Δͷ͍͠
3. MECO ͱ୳ࡧతσʔλੳ • खʹೖΕʹ͍͘ࢹઢܭଌσʔλΛɺࣗ༝ʹɺ͔ͭɺR Ͱѻ͑ΔΑ͏ʹͯ͘͠Εͨ͜ͱ࣮ʹ͋Γ͕͍ͨ • શ͘ಉ͡ڥΛ͑ΒΕͣͱɺͦΕʹࣅͨڥ ʢWeb ΧϝϥͰࢹઢܭଌ͕Ͱ͖Δπʔϧ͋ΓʣΛ
࡞Γɺͱʹ͔͘ܭଌͯ͠ެ։ͯ͠ΈΔͷख • ࢀߟ: ʮWebGazer.js Ͱ WebΧϝϥͰ҆ՁʹΞΠτϥοΩϯάΛ͢Δʯ • https://zenn.dev/motokazu/articles/ba65d6be70370c • ੜܥ AI ͷίʔυ࡞࣮ʹ༗༻ɾ༗ೳɾେॿ͔Γ ͓ΘΓʹ
Enjoy !