Domain Tuning of Bilingual Lexicons for MT

TitleDomain Tuning of Bilingual Lexicons for MT
Publication TypeReports
Year of Publication2003
AuthorsAyan NF, Dorr BJ, Kolak O
Date Published2003/02//
InstitutionInstititue for Advanced Computer Studies, Univ of Maryland, College Park
Keywords*DICTIONARIES, *FOREIGN LANGUAGES, accuracy, BILINGUAL LEXICONS, DOCUMENTS, linguistics, Vocabulary
Abstract

Our overall objective is to translate a domain-specific document in a foreign language (in this case, Chinese) to English. Using automatically induced domain-specific, comparable documents and language-independent clustering, we apply domain-tuning techniques to a bilingual lexicon for downstream translation of the input document to English. We will describe our domain-tuning technique and demonstrate its effectiveness by comparing our results to manually constructed domain-specific vocabulary. Our coverage/accuracy experiments indicate that domain-tuned lexicons achieve 88/% precision and 66/% recall. We also ran a Bleu experiment to compare our domain-tuned version to its un-tuned counterpart in an IR Ni-style NIT system. Our domain-tuned lexicons brought about an improvement in the Blen scores: 9.4/% higher than a system trained on a uniformly- weighted dictionary and 275/% higher than a system trained on no dictionary at all.

URLhttp://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA455197(link is external)