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Titlebook: Recent Advances in Example-Based Machine Translation; Michael Carl,Andy Way Book 2003 Kluwer Academic Publishers 2003 EBMT.algorithms.case

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发表于 2025-3-21 16:17:53 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Example-Based Machine Translation
编辑Michael Carl,Andy Way
视频video
丛书名称Text, Speech and Language Technology
图书封面Titlebook: Recent Advances in Example-Based Machine Translation;  Michael Carl,Andy Way Book 2003 Kluwer Academic Publishers 2003 EBMT.algorithms.case
描述.Recent Advances in Example-Based Machine Translation. is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals...Recent Advances in Example-Based Machine Translation. fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP. .
出版日期Book 2003
关键词EBMT; algorithms; case-based reasoning; complexity; learning; machine translation; translation
版次1
doihttps://doi.org/10.1007/978-94-010-0181-6
isbn_softcover978-1-4020-1401-7
isbn_ebook978-94-010-0181-6Series ISSN 1386-291X Series E-ISSN 2542-9388
issn_series 1386-291X
copyrightKluwer Academic Publishers 2003
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Extracting Translation Knowledge from Parallel Corpora effective for extracting bilingual lexicons in the new domain. Furthermore, word dependencies are also useful for longer translation pairs such as idiomatic expressions. We demonstrate that using statistical NLP tools, in particular, statistical dependency parsers, offers robustness to the approach
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978-1-4020-1401-7Kluwer Academic Publishers 2003
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Recent Advances in Example-Based Machine Translation978-94-010-0181-6Series ISSN 1386-291X Series E-ISSN 2542-9388
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