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: Pre-Translation for Neural Machine Transl...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Yumeto Inaoka
June 21, 2017
Technology
130
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
文献紹介: Pre-Translation for Neural Machine Translation
2017/06/21の文献紹介で発表
Yumeto Inaoka
June 21, 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
290
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
200
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
220
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
330
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
260
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
290
Other Decks in Technology
See All in Technology
Webアクセシビリティ入門 2026
recruitengineers
PRO
3
530
Forza Horizon 6 のテレメトリ機能で 自動運転に使えそうな学習データを集める話
henjin0
0
160
ラジオの科学
frievea
0
300
Data Hubグループ 紹介資料
sansan33
PRO
0
3.2k
LLM・AIエージェントシステムベストプラクティス
shibuiwilliam
6
1.1k
取引先から届く 「セキュリティチェックシート」の読み解き方
kamadamakoto
0
140
Master Dataグループ紹介資料
sansan33
PRO
1
4.8k
20260807_第6回_関東kaggler会LT_claw系bot xangiと始める、"寂しくない" kaggle
sugupoko
0
260
カートの信頼性を担保するWireMockを使ったe2eテスト
ykagano
0
160
え?フロントエンドエンジニアの ワイがインフラも!?
puku0x
1
510
サイバー捜査員研修(前半)
nomizone
1
2k
LanceDB入門
mocobeta
7
370
Featured
See All Featured
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.3k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.4k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.5k
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
340
Building a Scalable Design System with Sketch
lauravandoore
463
34k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
GraphQLとの向き合い方2022年版
quramy
50
15k
Technical Leadership for Architectural Decision Making
baasie
3
470
GitHub's CSS Performance
jonrohan
1033
470k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2.1k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.7k
Transcript
1SF5SBOTMBUJPOGPS /FVSBM.BDIJOF5SBOTMBUJPO จݙհ ࣗવݴޠॲཧݚڀࣨɹҴԬເਓ +BO/JFIVFT &VOBI$IP 5IBOI-F)BBOE"MFY8BJCFM 1SPDFFEJOHTPG$0-*/(
QQ
֓ཁ ˗ /.5࣌ʹશ͘ҟͳΔҙຯͷ༁Λੜ ˡ·Εͳ୯ޠ͕͋Δ߹ʹݦஶ ˗ 1#.5ʹΑΔࣄલ༁Ͱతݴޠʹ༁ ˡ্هΛճආ ˗ /.5ʹೖྗจͱࣄલ༁ͷ݁ՌΛೖྗ ˠ#-&6είΞͷ্
/.5ͱ1#.5 ˗ /.5 ·Εͳ୯ޠͷ༁ʹࣦഊ ྲྀெͰจ๏తʹਖ਼͍͠༁Λੜ ˗ 1#.5 ·Εͳ୯ޠͰ༁͕Մೳ
ύΠϓϥΠϯʹΑΔ݁߹ ˗ 1#.5Ͱೖྗݴޠ͔ΒతݴޠF`ʹ༁ ˗ ্ͷग़ྗΛ/.5ͰΑΓྑ͍తจFʹ༁ ˗ 1#.5͕/.5ͰϦΧόʔͰ͖ͳ͍ΤϥʔΛ Ҿ͖ى͜͢Մೳੑ
/.5ͷࠞ߹ೖྗ ˗ /.5ʹ1#.5ͷग़ྗͱݪจΛೖྗ ˗ 1#.5ͷग़ྗޠኮͱݪจͷޠኮͷॏෳΛࢭ ˗ ͦΕͧΕͷೖྗΛ࿈݁ DPODBUFOBUJPO
࣮ݧ ˗ 8.5ͷӳಠχϡʔε༁λεΫͰੳ ˗ #-&6Ͱ༁࣭Λੳ ˗ ୯ޠͷසʹԠͯ͡ύϑΥʔϚϯεΛੳ ˗ 1#.5ͷ༁࣭ʹΑΔӨڹΛੳ͢ΔͨΊ ϕʔεϥΠϯγεςϜͱߴͳϞσϧΛ༻
˗ /.5ϞσϧͷγεςϜͱϞσϧͷ ΞϯαϯϒϧγεςϜΛ༻
࣮ݧ ˗ 1#.5 5FSFTB)FSSNBOO +BO/JFIVFT BOE"MFY8BJCFM $PNCJOJOH8PSE3FPSEFSJOH.FUIPETPOEJ⒎FSFOU-JOHVJTUJD"CTUSBDUJPO -FWFMTGPS4UBUJTUJDBM.BDIJOF5SBOTMBUJPO *O1SPDFFEJOHTPGUIF4FWFOUI8PSLTIPQPO4ZOUBY 4FNBOUJDTBOE
4USVDUVSFJO4UBUJTUJDBM5SBOTMBUJPO "MUBOUB (FPSHJB 64" ˗ /.5 3JDP4FOOSJDI #BSSZ)BEEPX BOE"MFYBOESB#JSDI /FVSBMNBDIJOFUSBOTMBUJPOPGSBSFXPSETXJUITVCXPSEVOJUT *O1SPDFFEJOHTPGUIFUI"OOVBM.FFUJOHPGUIF"TTPDJBUJPOGPS $PNQVUBUJPOBM-JOHVJTUJDT "$- "VHVTU #FSMJO (FSNBOZ 7PMVNF-POH1BQFST
݁Ռ #-&6είΞ ˗ ύΠϓϥΠϯ/.5ΑΓੑೳ͕ྼΔ ˠ1#.5ͷΤϥʔΛճ෮Ͱ͖ͳ͍ͨΊ ˗ ࠞ߹Ͱੑೳ্
݁Ռ ྫจ ˗ 1#.5Ͱ୯ޠͷ༁ਖ਼͍͕͠จ๏ʹΤϥʔ ˗ /.5୯ޠͷ༁ͰΤϥʔ ˗ ఏҊख๏Ͱ྆ํ͕վળ
݁Ռ ྫจ ˗ ೖྗจʹසޠSJPUؚ͕·ΕΔ ˗ 1#.5Ͱਖ਼͘͠"VGSVISʹ༁͞ΕΔ ˗ /.5ͦͷ··ग़ྗ ˗ ఏҊख๏Ͱਖ਼͘͠༁
·ͱΊ ˗ 1#.5ͱ/.5ΛΈ߹Θͤͨख๏ΛఏҊ ˗ ྆ϞσϧΛྻͰΈ߹Θͤͯ༏Εͨ༁ ੜͰ͖ͳ͍͕ೖྗΛࠞ߹͢ΔͱվળͰ͖Δ ˗ 1#.5ͷग़ྗͱݪจΛγϯϓϧʹ࿈݁ DPODBUFOBUJPO ͢Δ͜ͱͰ্࣭͕
˗ ݸʑΛվળ͢Δ͜ͱͰγεςϜશମͷ ύϑΥʔϚϯε্͕