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
Dynamic_Data_Selection_for_Neural_Machine_Trans...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
MARUYAMA
March 28, 2019
0
130
Dynamic_Data_Selection_for_Neural_Machine_Translation.pdf
MARUYAMA
March 28, 2019
Tweet
Share
More Decks by MARUYAMA
See All by MARUYAMA
vampire.pdf
tmaru0204
0
190
Misspelling_Oblivious_Word_Embedding.pdf
tmaru0204
0
200
Simple_Unsupervised_Summarization_by_Contextual_Matching.pdf
tmaru0204
0
190
Controlling_Text_Complexity_in_Neural_Machine_Translation.pdf
tmaru0204
0
180
20191028_literature-review.pdf
tmaru0204
0
160
Hint-Based_Training_for_Non-Autoregressive_Machine_Translation.pdf
tmaru0204
0
150
Soft_Contextual_Data_Augmentation_for_Neural_Machine_Translation_.pdf
tmaru0204
0
180
An_Embarrassingly_Simple_Approach_for_Transfer_Learning_from_Pretrained_Language_Models_.pdf
tmaru0204
0
160
Addressing_Trobulesome_Words_in_Neural_Machine_Translation.pdf
tmaru0204
0
170
Featured
See All Featured
How to make the Groovebox
asonas
2
1.9k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
0
3.4k
Building an army of robots
kneath
306
46k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.8k
The browser strikes back
jonoalderson
0
390
SEO for Brand Visibility & Recognition
aleyda
0
4.2k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.2k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
9.9k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
250
Navigating Team Friction
lara
192
16k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
280
Transcript
%ZOBNJD%BUB4FMFDUJPO GPS/FVSBM.BDIJOF5SBOTMBUJPO .BSMJFTWBOEFS8FFT "SJBOOB#JTB[[B $ISJTUPG.PO[&/.-1 QBHFTr -JUFSBUVSFSFWJFX /BHBPLB6OJWFSTJUZPG5FDIOPMPHZ5BLVNJ.BSVZBNB
"CTUSBDU ⾣ֶश࣌ؒΛݮͭͭ͠ɺੑೳΛվળ ⾣/.5ͷֶशதʹɺಈతʹֶशσʔλΛมԽͤ͞Δख๏ΛఏҊ ⾣طଘͷσʔλબख๏Λ/.5ʹదԠ͠ɺޮՌΛݕূ ˠ1#.5ʹޮՌత͕ͩɺ/.5ʹ͓͍ͯ͋·ΓޮՌ͕ͳ͍
*OUSPEVDUJPO ⾣ͭͷ࣮ݧ ɾطଘͷσʔλબख๏ 4UBUJD%BUB4FMFDUJPO ɾ/.5ʹ߹Θͤͨσʔλબख๏ %ZOBNJD%BUB4FMFDUJPO 4BNQMJOH (SBEVBMpOFUVOJOH
4UBUJD%BUB4FMFDUJPO ɾ(FOFSBM ɾ*OEPNBJO ςετσʔλͱಉ͡υϝΠϯͷσʔλ ⾣छྨͷݴޠϞσϧΛߏங *OEPNBJO (FOFSBM 4PVSDFTJEF 5BSHFUTJEF º
⾣ͭͷίʔύεΛར༻
4UBUJD%BUB4FMFDUJPO $ίʔύε I*OEPNBJO G(FOFSBM Cݴޠ fTPVSDFTJEF eUBSHFUTJEF ⾣֤ݴޠϞσϧΛ༻͍ͯɺDSPTTFOUSPQZEJ⒎FSFODF
$&% Λܭࢉ શֶशσʔλΛ$&%ॱʹιʔτͯ͠ɺ্ҐOจରΛֶशʹར༻
%ZOBNJD%BUB4FMFDUJPO ⾣4BNQMJOH $&%ʹج͍ͮͨॏΈ͖αϯϓϦϯά ςετσʔλͱؔ࿈ͷ͋ΔσʔλબΕ͍͢
%ZOBNJD%BUB4FMFDUJPO ⾣(SBEVBMpOFUVOJOH FQPDIΛॏͶΔʹɺؔ࿈ͷ͍σʔλΛֶशσʔλ͔Βআ֎
%ZOBNJD%BUB4FMFDUJPO ⾣(SBEVBMpOFUVOJOH iFQPDIͷσʔλαΠζn(i) ЋSFMBUJWFTUBSUTJ[F 㱡Ћ㱡 cGcUSBJOJOHEBUBTJ[F ЌSFUFOUJPOSBUF 㱡Ќ㱡 Б/VNCFSPGDPOTFDVUJWFFQPDI TFMFDUFETVCTFUJTVTFE
Б㱢
&YQFSJNFOUTFUUJOH ⾣(FSNBOˠ&OHMJTI ⾣.BDIJOF5SBOTMBUJPO4ZTUFNT ɾ/.5&ODPEFSEFDPEFSNPEFMXJUIHMPCBMBUUFOUJPO ɾ1#.5.PTFT
&YQFSJNFOUTFUUJOH ⾣%BUBTFU ɾ&.&"NFEJDBMHVJEFMJOFT ɾ.PWJFEJBMPHVFT ɾ5&%UBMLT ɾ8.5OFXT ֶश։ൃσʔλʹ.JY ධՁʹ֤ධՁηοτΛར༻
3FTVMU ⾣4UBUJDEBUBTFMFDUJPOGPS1#.5BOE/.5 JOEPNBJOͷσʔλͷΈ ˒ 4UBUJDEBUBTFMFDUJPO ˔ JOEPNBJOͷσʔλͷΈ ˒
4UBUJDEBUBTFMFDUJPO ˔ 1#.5 /.5
3FTVMU ⾣%ZOBNJDEBUBTFMFDUJPOGPS/.5 ಉֶ͡श࣌ؒʹ͓͍ͯɺ TUBUJDTFMFDUJPOΑΓྑ͍݁Ռ 8.5OFXTΛআ͘σʔλͰɺ TUBUJDTFMFDUJPOͷ࠷ऴ݁ՌΑΓ ߴ͍είΞ
3FTVMU ⾣%ZOBNJDEBUBTFMFDUJPOGPS/.5
$PODMVTJPO ⾣ֶश࣌ؒΛݮͭͭ͠ɺੑೳΛվળ ⾣/.5ͷֶशதʹɺಈతʹֶशσʔλΛมԽͤ͞Δख๏ΛఏҊ ⾣طଘͷσʔλબख๏Λ/.5ʹదԠ͠ɺޮՌΛݕূ ˠ1#.5ʹޮՌత͕ͩɺ/.5ʹ͓͍ͯ͋·ΓޮՌ͕ͳ͍