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
機械翻訳における文型パタンの部分的利用
Search
自然言語処理研究室
March 31, 2006
Research
0
74
機械翻訳における文型パタンの部分的利用
松田 聡史. 機械翻訳における文型パタンの部分的利用. 長岡技術科学大学課題研究報告書 (2006.3)
自然言語処理研究室
March 31, 2006
Tweet
Share
More Decks by 自然言語処理研究室
See All by 自然言語処理研究室
データサイエンス14_システム.pdf
jnlp
0
380
データサイエンス13_解析.pdf
jnlp
0
480
データサイエンス12_分類.pdf
jnlp
0
330
データサイエンス11_前処理.pdf
jnlp
0
460
Recurrent neural network based language model
jnlp
0
130
自然言語処理研究室 研究概要(2012年)
jnlp
0
130
自然言語処理研究室 研究概要(2013年)
jnlp
0
93
自然言語処理研究室 研究概要(2014年)
jnlp
0
110
自然言語処理研究室 研究概要(2015年)
jnlp
0
180
Other Decks in Research
See All in Research
(NULLCON Goa 2025)Windows Keylogger Detection: Targeting Past and Present Keylogging Techniques
asuna_jp
2
550
[CV勉強会@関東 CVPR2025] VLM自動運転model S4-Driver
shinkyoto
2
340
SkySense : A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
satai
3
260
とあるSREの博士「過程」 / A Certain SRE’s Ph.D. Journey
yuukit
6
3.3k
Delta Airlines® Customer Care in the U.S.: How to Reach Them Now
bookingcomcustomersupportusa
PRO
0
100
[輪講] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
nk35jk
2
600
When Submarine Cables Go Dark: Examining the Web Services Resilience Amid Global Internet Disruptions
irvin
0
240
Creation and environmental applications of 15-year daily inundation and vegetation maps for Siberia by integrating satellite and meteorological datasets
satai
3
140
Self-supervised audiovisual representation learning for remote sensing data
satai
3
230
2025/7/5 応用音響研究会招待講演@北海道大学
takuma_okamoto
1
110
大規模な2値整数計画問題に対する 効率的な重み付き局所探索法
mickey_kubo
1
280
引力・斥力を制御可能なランダム部分集合の確率分布
wasyro
0
200
Featured
See All Featured
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
26k
Designing for Performance
lara
610
69k
Speed Design
sergeychernyshev
32
1k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.5k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
8
340
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Embracing the Ebb and Flow
colly
86
4.8k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
The Power of CSS Pseudo Elements
geoffreycrofte
77
5.9k
Transcript
ػց༁ʹ͓͚Δจܕɹɹ ɹ ɹ ɹɹɹύλϯͷ෦తར༻ Ԭٕज़Պֶେֶɹిؾܥ ࢁຊݚڀࣨ ใࠂऀ দాɹ૱࢙ ࢦಋڭһ ࢁຊɹӳ
ॿڭत ฏ18 2݄ 24
1.ݚڀഎܠ ύλϯ༁ͷ֓ཁ ɹ◆จ๏ɺ׳༻දݱΛݩʹύλϯΛ४උ ɹN1͕N2Λԉॿ͢Δ ɹN1 help N2 ɹ◆༁Λߦ͏จʹରͯ͠ύλϯΛͯ Ίɺ༁จͷग़ྗΛߦ͏ɻ
1.ݚڀഎܠ ର༁ύλϯ ɹN1͕N2Λԉॿ͢Δ ɹN1 help N2 ೖྗจ ɹI help you
ग़ྗจ ɹΘ͕ͨ͋͠ͳͨΛԉॿ͢Δ
1.ݚڀഎܠ ◆ ύλϯ༁ ɹ-ॏจɾෳจۤख ◆ ۙͷύλϯ༁ ɹ- ॏจɾෳจΛతͱͨ͠ύλϯ࡞ ɹ- ύλϯͷ૿Ճ
ɹ- ύλϯ༻ޮͷԼ →ύλϯΛ෦తʹར༻͢Δ͜ͱग़དྷͳ͍͔
2.త ෦తར༻Մೳͳύλϯͷ࡞ ɹ◆ύλϯར༻ޮͷ্ ɹ◆༁ݴޠͷॊೈͳରԠ ɹ◆༁ઌݴޠͰͷදݱͷ෯ͷ૿Ճ
3.CRESTύλϯ CRESTύλϯʹ͍ͭͯ ◆ॏจෳจͷ༁Λతͱͯ͠࡞ ◆୯ޠϨϕϧͰ12ສύλϯ ◆ઢܗ෦ͱඇઢܗ෦͔ΒͳΔ
3.CRESTύλϯ ◆ ઢܗ෦ ɹ- ଞͷཁૉʹஔ͖͑ͯશମͷҙຯ͕ มԽ͠ͳ͍ ◆ ඇઢܗ෦ ɹ- ஔ͖͑Δͱશମͷҙຯ͕มԽ͢Δ
ɹN1͕N2Λԉॿ͢Δ ɹN1 help N2
4.ؔ࿈ݚڀ ◆ਆΒ[2005]ɹίʔύεΛݩʹ୯ޠఔ ͷ໊ࢺ۟༁Λతͱͨ͠ύλϯ࡞ ◆നҪΒ[2003]ɹίʔύεΛݩʹจͷ ༁Λతͱͨ͠ύλϯΛ࡞ طଘͷύλϯ͔ΒύλϯΛ࡞͢Δͱ͍͏ ݚڀଘࡏ͠ͳ͍
5.ఏҊख๏ ύλϯΛͯΊΔࡍʹରԠ෦Λ୳͢ͷ Ͱඇޮ ɹ→͋Β͔͡ΊύλϯͷׂΛߦ͏ ɹ→ରԠ෦Λࣗಈతʹ୳͢ख๏͕ඞཁ N1͕N2ʹͳ͔ͬͯΒN3ΛV4^meireiɻ V4 N3 after N1
turn N2. N1͕N2ʹͳ͔ͬͯΒ after N1 turn N2.
5.ఏҊख๏ ◆ύλϯ͔Βඇઢܗ෦Λநग़ N1͕N2ʹͳ͔ͬͯΒN3ΛV4^meireiɻ V4 N3 after N1 turn N2.
5.ఏҊख๏ ύλϯઌ಄·ͨඌ-֤ඇઢܗ෦ Λύλϯީิͱͯ͠நग़ N1͕N2ʹͳ͔ͬͯΒ ʹͳ͔ͬͯΒN3ΛV4^meireiɻ V4 N3 after ɹafter N1
turn N2. V4 N3 after N1 turn ɹturn N2.
5.ఏҊख๏ ؚ·ΕΔઢܗ෦͕ಉ͡ύλϯಉ࢜Λ෦ ύλϯͱͯ͠ొ N1͕N2ʹͳ͔ͬͯΒ after N1 turn N2. ʹͳ͔ͬͯΒN3ΛV4^meireiɻ V4
N3 after
5.ఏҊख๏ લஔࢺɺ໊ؔࢺΛݩʹׂͨ͠ύλϯ ࡞ લஔࢺɹɹɹN1N2ʹV3^rentaiͷؒ ɹɹɹɹɹɹuntil N1 V3.past N2 ໊ؔࢺɹN1N2Ͱग़͔͚͍ͯΔؒ ɹɹɹɹɹɹwhile
N1 be on N2
6.ධՁ࣮ݧ 1. ɹ࡞ͨ͠ύλϯʹΑΔϚον 2. ɹ࡞ͨ͠ύλϯͷҙຯతͳରԠ
6.ධՁ࣮ݧ1 CRESTύλϯͷݪจ͔Β ɹ◆ϥϯμϜʹ100จ ɹ◆໊ؔࢺͰ࢝·Δ100จ ɹ◆લஔࢺͰ࢝·Δ100จ Λநग़ 4छྨͷύλϯΛͯΊΔ
6.ධՁ࣮ݧ1(݁Ռ)
࣮ݧจ*% Ϛον ໊ؔࢺ ඇม෦ $3&45ύλϯ લஔࢺ
6.ධՁ࣮ݧ1(݁Ռ) ֤จʹର͢ΔฏۉϚον CRESTύλϯ ඇઢܗ෦ લஔࢺ ໊ؔࢺ 16.6 100.7 0.6 196.7
6.ධՁ࣮ݧ2 ࡞ͨ͠ӳޠύλϯͱຊޠύλϯͰ ҙຯతͳରԠ͕ͱΕ͍ͯΔ͔ ˓ɿҙຯతͳରԠ͕ͱΕ͍ͯΔ ˚ɿӳɺӳ͍ͣΕ͔ʹؔͯ͠ɺҙຯͷ औΕͳ͍ඇઢܗ෦͕ଘࡏ͢Δ ×ɿҙຯతͳରԠ͕ͱΕ͍ͯͳ͍
6.ධՁ࣮ݧ2(݁Ռ) ύλϯͷҙຯతରԠ ˓ ˚ × ඇઢܗ෦ 43 47 10 લஔࢺ
30 43 27 ໊ؔࢺ 35 58 7
6.ධՁ࣮ݧ2(݁Ռ) ˓ɹN1 have a number of N2, ɹɹN1N2͕ࢁ͍ΔͷͰ ˚ɹIt is
said among N2 in N1 that ɹɹN1ͷN2ͷؒͰ ×ɹto V4 N3 ɹɹʹઌۦ͚ͯN3ΛV4.kako
7.ߟ ◆Ϛονͷ૿Ճ ɹ→༁ઌݴޠʹ͓͚Δදݱͷ͕Γ͔͍ ◆Ϛονͨ͠ύλϯʹ͍ͭͯ ɹ→༁ͷਖ਼ղͱͳΔύλϯଘࡏ͢Δ ɹ→จͷ༁ʹ༻Մೳ ◆શͳҙຯରԠͷऔΕͳ͍ύλϯ ɹ→ഉআ͢Δख๏ͷݕ౼͕ඞཁ
8.·ͱΊ CRESTύλϯΛݩʹ෦తύλϯΛ࡞ ඇઢܗ෦(લஔࢺɺ໊ؔࢺ)Λݩʹύ λϯΛׂɾ࠶ߏ ಛఆͷจܕʹ͍ͭͯύλϯϚον͕େ ෯ʹ૿Ճ ҙຯͷऔΕͳ͍ύλϯͷଘࡏ(ࠓޙͷ՝)