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Improving Neural Net Machine Translation Systems with Linguistic Information
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Chen, Yuan-Lu. |
| 단체저자명 | The University of Arizona. Linguistics. |
| 서명/저자사항 | Improving Neural Net Machine Translation Systems with Linguistic Information. |
| 발행사항 | [S.l.] : The University of Arizona., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 91 p. |
| 소장본 주기 | School code: 0009. |
| ISBN | 9780438301184 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Adviser: Michael Hammond. |
| 요약 | Interlinear Glossed Text (IGT) is widely used in linguistic studies. In a form of Interlinear Glossed Text, the first line is a sentence of the language of interest, the second line is a word-by-word translation, annotated with relevant grammati |
| 요약 | The innovation of the current work is to incorporate the gloss information of Interlinear Glossed Text data into neural net machine translation systems. |
| 요약 | Critically, if the Gaelic data and the gloss data are combined in a specific way as the training data, which is named as Parallel-Partial treatment, the performance of the systems is improved significantly. The systems with Parallel-Partial trea |
| 요약 | Moreover, the boosting effect of the Parallel-Partial treatment is consistent across different languages and across neural net machine translation systems with different hyper-parameter settings. |
| 요약 | How theoretical linguistics may work hand in hand with natural language processing, and how neural net machine learning may exploit linguistics are important questions (Pater 2017). The current work also exemplifies how theoretical linguistics m |
| 일반주제명 | Linguistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01A(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000949 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025854 | 401 | 가야대학교// | 대출가능 |
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