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Removing the Language Barrier

Removing the Language Barrier. Machine Translation And Digital Libraries. US-Korea Joint Workshop on Digital Libraries. August 10-11, 2000 San Diego, California. Stephen Helmreich. Computing Research Laboratory New Mexico State University Las Cruces, New Mexico, USA

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Removing the Language Barrier

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  1. Removing the Language Barrier Machine Translation And Digital Libraries

  2. US-Korea Joint Workshop on Digital Libraries August 10-11, 2000 San Diego, California

  3. Stephen Helmreich • Computing Research Laboratory • New Mexico State University • Las Cruces, New Mexico, USA • Shelmrei@crl.nmsu.edu • (505) 646-2141

  4. Computing Research Laboratory • Background • Research efforts – all approaches to multi-lingual processing of natural language texts

  5. Applications • Machine translation ** • Information extraction • Information retrieval ** • Summarization ** • Knowledge acquisition ** • Authoring systems • Translator workstations

  6. Machine Translation -- I • Interlingual – text meaning representation (TMR) • Knowledge-based – uses ontology • Lexicon – connects lexical items in context to ontological concepts • Disambiguation – ontological constraints select appropriate TMR

  7. Uses of MT-I • As a full system, for high-quality translation • The ontology itself would be useful for providing multilingual access to say, metadata • TMRs would be usable to represent content of documents

  8. Machine Translation -- II • Transfer-based MT – focus on syntax and morphology • Rapid deployment – standard engines • Universal representation format – typed feature structures

  9. Uses of MT-II • General purpose translation for assimilation • Within a retrieval system • As an on-line tool

  10. Machine Translation -- III • Dictionary/glossary-based • Korean morphological analyzer – from Pohang, using dictionary with 100,000 entries • Korean-English bilingual dictionary with 85,000 items

  11. Uses of MT-III • Available immediately for use • Currently embedded in a document retrieval system • Keizai System Demo: http://crl.nmsu.edu -- click on “Research” , then on “URSA”, then look for the Keizai Demo

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