Title: | Extraction of name and transliteration in monolingual and parallel corpora |
Authors: | Lin, T Wu, JC Chang, JS 電信工程研究所 Institute of Communications Engineering |
Issue Date: | 2004 |
Abstract: | Named-entities in free text represent a challenge to text analysis in Machine Translation and Cross Language Information Retrieval. These phrases are often transliterated into another language with a different sound inventory and writing system. Named-entities found in free text are often not listed in bilingual dictionaries. Although it is possible to identify and translate named-entities on the fly without a list of proper names and transliterations, an extensive list of existing transliterations certainly will ensure high precision rate. We use a seed list of proper names and transliterations to train a Machine Transliteration Model. With the model it is possible to extract proper names and their transliterations in monolingual or parallel corpora with high precision and recall rates. |
URI: | http://hdl.handle.net/11536/27197 |
ISBN: | 3-540-23300-8 |
ISSN: | 0302-9743 |
Journal: | MACHINE TRANSLATION: FROM REAL USERS TO RESEARCH, PROCEEDINGS |
Volume: | 3265 |
Begin Page: | 177 |
End Page: | 186 |
Appears in Collections: | Conferences Paper |