| Recent Advances in Example-Based Machine Translation Contributor(s): Carl, M. (Editor), Way, Andy (Editor) |
|
 |
ISBN: 1402014007 ISBN-13: 9781402014000 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: June 2003 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Science - Computers | Natural Language Processing - Language Arts & Disciplines | Linguistics - General |
| Dewey: 418.020 |
| LCCN: 2003052005 |
| Series: Text, Speech and Language Technology |
| Physical Information: 1.3" H x 7.18" W x 9.16" (2.08 lbs) 482 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |