| 書目名稱 | Machine Translation with Minimal Reliance on Parallel Resources |
| 編輯 | George Tambouratzis,Marina Vassiliou,Sokratis Sofi |
| 視頻video | http://file.papertrans.cn/621/620785/620785.mp4 |
| 概述 | Introduces a novel language-independent method for developing Machine Translation (MT) systems.Includes various experiments and comparisons to other MT systems.Provides a detailed presentation of the |
| 叢書名稱 | SpringerBriefs in Statistics |
| 圖書封面 |  |
| 描述 | This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.? |
| 出版日期 | Book 2017 |
| 關鍵詞 | MT portability to new language pairs; Machine learning methods; Machine translation (MT); Non-reliance |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-63107-3 |
| isbn_softcover | 978-3-319-63105-9 |
| isbn_ebook | 978-3-319-63107-3Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Author(s) 2017 |
|Archiver|手機版|小黑屋|
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