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
文献紹介: 直訳性を利用した機械翻訳知識の自動構築
Search
Yumeto Inaoka
April 26, 2017
Technology
160
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
文献紹介: 直訳性を利用した機械翻訳知識の自動構築
2017/04/26の文献紹介で発表
Yumeto Inaoka
April 26, 2017
More Decks by Yumeto Inaoka
See All by Yumeto Inaoka
文献紹介: Quantity doesn’t buy quality syntax with neural language models
yumeto
1
220
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
280
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
190
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
210
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
210
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
320
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
yumeto
0
430
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
250
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
280
Other Decks in Technology
See All in Technology
Baseline対応のDOMの型定義を作った
uhyo
3
720
グローバルチームと挑むプロダクト開発
sansantech
PRO
1
160
AI時代における最適なQA組織の作り方
ymty
3
460
環境凍結という Toil を倒す -セルフサービス型 Ephemeral テスト環境の 設計と実践
shirouz
1
1.2k
小さいから、全部わかる。— 常駐AI "xangi" のすすめ
sugupoko
0
270
知見・人・API・DB・予算 ─ ナイナイ尽くしだった人事データ整備 with dbt、5年間の学び
ken6377
1
160
Compose 新機能総まとめ / What's New in Jetpack Compose
yanzm
0
150
はじめてのWDM
miyukichi_ospf
1
120
LiDAR SLAMの実装とセンサ融合 ~Lie群からContinuous-Time LIOまで~
naokiakai
1
990
cccccc
moznion
0
1.8k
しぶいSRE: サーバから見えない障害にどう向き合うか。ラストワンマイルのデバッグ実践 / Shibui SRE
kanny
11
4.6k
ZOZOTOWNの進化と信頼性を両立する負荷試験
zozotech
PRO
0
140
Featured
See All Featured
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
123
22k
エンジニアに許された特別な時間の終わり
watany
107
250k
Heart Work Chapter 1 - Part 1
lfama
PRO
8
36k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
800
The untapped power of vector embeddings
frankvandijk
2
1.8k
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
220
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
250
The Language of Interfaces
destraynor
162
27k
The #1 spot is gone: here's how to win anyway
tamaranovitovic
3
1.1k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
A Tale of Four Properties
chriscoyier
163
24k
Transcript
༁ੑΛར༻ͨ͠ػց༁ࣝͷ ࣗಈߏங จݙհ ࣗવݴޠॲཧݚڀࣨɹҴԬເਓ ࠓଜݡ࣏ ۱ాӳҰ দຊ༟࣏ ࣗવݴޠॲཧ
7PM /P QQ
എܠ ˗ ༁ͷଟ༷ੑؚ͕·ΕΔίʔύεʹΑΔػց༁ ˠͳࣝͷ֫ಘʹΑΔޡ༁ͷݪҼ ˗ ػց༁ʹదͨ͠ର༁ʹݶఆ ˠ༁࣭ͷ্ ˗ ੍ݶର༁ͷࢦඪͱͯ͠༁ੑΛར༻
༁ͷଟ༷ੑ ˗ จ຺ঢ়گʹґଘͨ͠༁ ྫ จจ຺ͰղܾͰ͖ͳ͍ᐆດͳUIF ʮࢲͷʯʮͦͷʯͷݶఆදݱ͕༩ ྫ ʮࣸਅΛࡱ͍͚ͬͯͨͩ·͔͢ʯ
ˠl$PVMEZPVUBLFPVSQIPUPHSBQI z ˠl$PVMEZPVQSFTTUIJTTIVUUFSCVUUPO z
༁ͷଟ༷ੑ ˗ ݴ͍͑දݱ ྫ ʮ͜ͷτϥϕϥʔζνΣοΫΛݱۚʹ͍ͯͩ͘͠͞ʯ ˠl*`EMJLFUPDBTIUIFTFUSBWFMMFS`TDIFDLTz ฏঀจ ˠl$PVMEZPVDIBOHFUIFTFUSBWFMMFS`TDIFDLT
ɹJOUPDBTI z ٙจ ˠl1MFBTFDBTIUIFTFUSBWFMMFS`TDIFDLTz ໋ྩจ ༁Ͱنଇ͚ͩͰॆͰ͋Γ
੍ݶର༁ ˗ ੍ݶݴޠ ༻ޠኮจ๏Λ੍ݶͯ͠จষΛهड़ ˠߏจߏҙຯղऍͷᐆດੑΛݮগͤ͞Δ ɹ͜ͱ͕ΒΕ͍ͯΔ ˗ ੍ݶର༁ ର༁ίʔύεʹ੍ݶݴޠͷߟ͑ํΛద༻
੍ݶର༁ ˗ ༁ੑ লུɾޠ͕গͳ͍ ˗ จ຺ࣗ༝ੑ ݪจͷ୯ޠྻͱ༁จͷ୯ޠྻ͕จ຺ใ ͳ͠ʹରԠ ˗ ޠॱҰகੑ
ݪจͷޠॱ͕༁จͰอͨΕ͍ͯΔ ˗ ༁ޠҰఆੑ ͋Δ୯ޠ͕ৗʹಉ͡୯ޠ༁͞ΕΔ
༁ੑείΞ ˗ 5Tର༁ࣙॻʹଘࡏ͢Δݪݴޠͷ୯ޠ ˗ 5Uର༁ࣙॻʹଘࡏ͢Δతݴޠͷ୯ޠ ˗ -ݪݴޠͱతݴޠͷ୯ޠͷ୯ޠϦϯΫ ˗ 5$3ର༁ରԠ
༁ੑείΞ ˗ ؙғΈ୯ޠର༁ࣙॻʹࡌ͍ͬͯΔ୯ޠ ˗ ܗଶૉղੳ݁Ռͱର༁ࣙॻͷΈͰஅ
ର༁ίʔύεϑΟϧλϦϯά ˗ ᮢʹΑΔϑΟϧλϦϯά ߴ༁ର༁ͷΈ͕Δ ෦ίʔύεαΠζ͕ݮগˠཏͰ͖ͳ͍ ˗ άϧʔϓ࠷ߴʹΑΔϑΟϧλϦϯά ݪݴޠ͕ಉ͡ର༁ͰάϧʔϓΛ࡞͠ɺ άϧʔϓͷ࠷ߴείΞΛ࣋ͭͷΛબ ˠ༁ର༁͕Δ
༁۟ͱҙ༁෦ͷׂߏங ˗ ର༁ରԠ5$3Λจ͚ͩͰͳ۟͘ʹద༻ ˗ จͱͯ͠ͷ5$3͍͕۟ͱͯ͠ߴ͍ ͷΛ༻ ˠཏͷԼΛ͑Δ ˗ ༁ର༁தʹ׳༻දݱͷΑ͏ͳ༁Ͱ ༁͖͢Ͱͳ͍ͷ͕ଘࡏ
༁۟ͱҙ༁෦ͷׂߏங ˗ ߴ༁۟ͦΕͱͦͷԼҐߏΛ൚Խͯ͠ ༁ࣝΛߏங ˗ ༁෦۟ରԠΛແࢹͨ͠༁ࣝΛߏங
࣮ݧ ˗ ӳػց༁ͷ༁࣭ͰධՁ ˗ #5&$ίʔύεͷ͏ͪ ର༁Λ༻ ཱྀߦձʹසग़͢ΔදݱΛूΊͨͷ ͷӳޠจ͕ෳͷຊޠ༁Λ࣋ͭ
ର༁ࣙॻߏஙํ๏ ˗ ࣙॻ" ίʔύεதͷڞىස͕ճҎ্ͷ୯ޠ ౷ܭతʹ୯ޠΞϥΠϝϯτΛߦ͏ ͦΕҎ֎γιʔϥεΛࢀর ద߹ɿɹ࠶ݱ ˗ ࣙॻ# ୯ޠΞϥΠϝϯτͷΈ
ద߹ɿɹ࠶ݱ
༁࣭ධՁํ๏ ˗ ࣗಈධՁ #-&6 HSBN Λ༻͍ͯධՁ ݪจ͋ͨΓͭͷࢀর༁ ˗ ओ؍ධՁ ςετηοτதͷจΛ͍ɺ
શର༁Λ༻ͨ͠ػց༁݁Ռͱൺֱͯ͠ ͲͪΒ͕Α͍༁͔Λఆ
ᮢʹΑΔίʔύεϑΟϧλϦϯάͷޮՌ ˗ ͍ͣΕ5$3㱢ͷͱ͖#-&6είΞ͕࠷େ ˗ ͞ΒʹᮢΛ্͛ΔͱϥϯμϜબʹൺͯ ༁࣭͕ٸܹʹѱԽ ˠ༁ੑ͍͕ඞཁͳର༁ ׳༻දݱͳͲ ͕ഉআ͞ΕͨͨΊ
ߏஙํ๏ͷҧ͍ͱ༁࣭ ˗ ϑΟϧλϦϯάʹΑΔख๏Ͱʙఔͷ ࣭վળ͔͠Ͱ͖ͳ͔ͬͨ ˠ༁ର༁ͷഉআͱΧόʔҡ࣋ͷཱ྆ࠔ ˗ ׂߏங#-&6είΞɺओ؍࣭ͱʹ্ ˠҙ༁ͷద༻݅Λݫ͘͠Ͱ͖ΔͨΊ
͓ΘΓʹ ˗ ༁ͷଟ༷ੑΛ༁ੑʹண੍ͯ͠ݶ ˗ ର༁ରԠʹΑΔϑΟϧλϦϯάͰ༁࣭Λ एׯ্ͤ͞Δ͜ͱ͕Ͱ͖Δ ˗ ର༁จΛ༁෦ͱҙ༁෦ʹׂ͠ɺ ҙ༁ͷద༻݅Λݫ͘͢͠Δ͜ͱͰ༁࣭Λ ্ͤ͞Δ͜ͱ͕Ͱ͖Δ
˗ ༁ޠҰٛੑจ຺ࣗ༝ੑΈࠐΉͱ༁࣭Λ ͞Βʹ্Ͱ͖Δͱਪଌ͞ΕΔ