標題: Extraction of name and transliteration in monolingual and parallel corpora
作者: Lin, T
Wu, JC
Chang, JS
電信工程研究所
Institute of Communications Engineering
公開日期: 2004
摘要: 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
期刊: MACHINE TRANSLATION: FROM REAL USERS TO RESEARCH, PROCEEDINGS
Volume: 3265
起始頁: 177
結束頁: 186
Appears in Collections:Conferences Paper