| 书目名称 | Using Comparable Corpora for Under-Resourced Areas of Machine Translation | | 编辑 | Inguna Skadiņa,Robert Gaizauskas,Andrejs Vasiļjevs | | 视频video | | | 概述 | Describes a step-by-step method for collecting comparable corpora and processing it for usage in machine translation.Demonstrates how data from comparable corpora can improve the quality of machine tr | | 丛书名称 | Theory and Applications of Natural Language Processing | | 图书封面 |  | | 描述 | .This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains..The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.. | | 出版日期 | Book 2019 | | 关键词 | Comparable corpora; Under-resourced languages; Multilingual processing; Comparability metric; Parallel d | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-99004-0 | | isbn_ebook | 978-3-319-99004-0Series ISSN 2192-032X Series E-ISSN 2192-0338 | | issn_series | 2192-032X | | copyright | Springer Nature Switzerland AG 2019 |
The information of publication is updating
|
|
发表于 2025-3-21 16:41:48
