Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
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
0
100
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
Tweet
Share
More Decks by sakaue
See All by sakaue
RBC202003_Day2_Period5
sakaue
0
40
RBC202003_Day2_Period6
sakaue
0
97
RBC202003_Day2_Period7
sakaue
0
94
Rbootcamp202003_Day2_p8.pdf
sakaue
0
85
RBC202003_Day1_Period1
sakaue
1
75
RBC202003_Day1_Period2
sakaue
0
73
RBC202003_Day1_Period3
sakaue
0
96
RBC202003_Day1_Period4
sakaue
0
57
Other Decks in Education
See All in Education
QR-koodit opetuksessa
matleenalaakso
0
1.7k
Introdución ás redes
irocho
0
500
Requirements Analysis and Prototyping - Lecture 3 - Human-Computer Interaction (1023841ANR)
signer
PRO
0
1.3k
子どものためのプログラミング道場『CoderDojo』〜法人提携例〜 / Partnership with CoderDojo Japan
coderdojojapan
PRO
4
17k
Introduction - Lecture 1 - Web Technologies (1019888BNR)
signer
PRO
0
5.8k
Ch1_-_Partie_1.pdf
bernhardsvt
0
460
DIP_1_Introduction
hachama
0
330
AIは若者の成長機会を奪うのか?
frievea
0
120
AIを使って最新研究 について調べて発表しよ う!
mickey_kubo
4
160
Adobe Express
matleenalaakso
1
8.1k
Node-REDで広がるプログラミング教育の可能性
ueponx
1
200
Réaliser un diagnostic externe
martine
0
600
Featured
See All Featured
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.2k
Six Lessons from altMBA
skipperchong
29
4.1k
A designer walks into a library…
pauljervisheath
210
24k
Facilitating Awesome Meetings
lara
57
6.6k
Docker and Python
trallard
46
3.7k
Faster Mobile Websites
deanohume
310
31k
Embracing the Ebb and Flow
colly
88
4.9k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.5k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
690
How to Think Like a Performance Engineer
csswizardry
28
2.3k
How to Ace a Technical Interview
jacobian
280
24k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
3.8k
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 !