JPWO2021166145A1 - - Google Patents
Info
- Publication number
- JPWO2021166145A1 JPWO2021166145A1 JP2022501497A JP2022501497A JPWO2021166145A1 JP WO2021166145 A1 JPWO2021166145 A1 JP WO2021166145A1 JP 2022501497 A JP2022501497 A JP 2022501497A JP 2022501497 A JP2022501497 A JP 2022501497A JP WO2021166145 A1 JPWO2021166145 A1 JP WO2021166145A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/42—Data-driven translation
- G06F40/44—Statistical methods, e.g. probability models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/55—Rule-based translation
- G06F40/56—Natural language generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Machine Translation (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2020/006728 WO2021166145A1 (ja) | 2020-02-20 | 2020-02-20 | 系列変換装置、機械学習装置、系列変換方法、機械学習方法、およびプログラム |
Publications (3)
Publication Number | Publication Date |
---|---|
JPWO2021166145A1 true JPWO2021166145A1 (ja) | 2021-08-26 |
JPWO2021166145A5 JPWO2021166145A5 (ja) | 2022-10-03 |
JP7429352B2 JP7429352B2 (ja) | 2024-02-08 |
Family
ID=77391873
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2022501497A Active JP7429352B2 (ja) | 2020-02-20 | 2020-02-20 | 系列変換装置、機械学習装置、系列変換方法、機械学習方法、およびプログラム |
Country Status (3)
Country | Link |
---|---|
US (1) | US20230072015A1 (ja) |
JP (1) | JP7429352B2 (ja) |
WO (1) | WO2021166145A1 (ja) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2018181343A (ja) * | 2017-04-14 | 2018-11-15 | セールスフォース ドット コム インコーポレイティッド | 抽象的要約のためのディープ強化モデル |
WO2019167296A1 (ja) * | 2018-02-28 | 2019-09-06 | 日本電信電話株式会社 | 自然言語処理のための装置、方法及びプログラム |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109145315B (zh) * | 2018-09-05 | 2022-03-18 | 腾讯科技(深圳)有限公司 | 文本翻译方法、装置、存储介质和计算机设备 |
US11681911B2 (en) * | 2019-10-15 | 2023-06-20 | Naver Corporation | Method and system for training neural sequence-to-sequence models by incorporating global features |
-
2020
- 2020-02-20 JP JP2022501497A patent/JP7429352B2/ja active Active
- 2020-02-20 US US17/799,588 patent/US20230072015A1/en active Pending
- 2020-02-20 WO PCT/JP2020/006728 patent/WO2021166145A1/ja active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2018181343A (ja) * | 2017-04-14 | 2018-11-15 | セールスフォース ドット コム インコーポレイティッド | 抽象的要約のためのディープ強化モデル |
WO2019167296A1 (ja) * | 2018-02-28 | 2019-09-06 | 日本電信電話株式会社 | 自然言語処理のための装置、方法及びプログラム |
Non-Patent Citations (3)
Title |
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山岸駿秀 他2名: "目的言語側の文間文脈を考慮した文脈つきニューラル機械翻訳", 言語処理学会第25回年次大会 発表論文集[ONLINE], JPN6023008889, 4 March 2019 (2019-03-04), JP, pages 394 - 397, ISSN: 0005167082 * |
石垣達也 他4名: "コピー機構を用いたクエリ指向ニューラル生成型要約", 情報処理学会 研究報告 自然言語処理[ONLINE], vol. Vol.2019-NL-240 No.3, JPN6023008888, 6 June 2019 (2019-06-06), JP, ISSN: 0005008621 * |
藤井諒 他3名: "ニューラル機械翻訳における文脈情報の選択的利用", 言語処理学会第25回年次大会 発表論文集[ONLINE], JPN6023008890, 4 March 2019 (2019-03-04), JP, pages 1459 - 1462, ISSN: 0005008620 * |
Also Published As
Publication number | Publication date |
---|---|
JP7429352B2 (ja) | 2024-02-08 |
US20230072015A1 (en) | 2023-03-09 |
WO2021166145A1 (ja) | 2021-08-26 |
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