Paper: A Muitilingual News Summarizer

ACL ID C00-1024
Title A Muitilingual News Summarizer
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000

Huge multilingual news articles are reported and disseminated on the Internet. ltow to extract the kcy information and savc the reading time is a crucial issue. This paper proposes architecture of multilingual news sumlnarizer, including monolingual and multilingual clustering, similarity measure among lneaningful ullits, and presentation of summarization results. Translation anlong news stories, idiosyncrasy among languages, itnplicit information, and user preference are addressed.