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ORCID5th AMTA 2002: Tiburon, CA, USA
- Stephen D. Richardson:
Machine Translation: From Research to Real Users, 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, USA, October 6-12, 2002, Proceedings. Lecture Notes in Computer Science 2499, Springer 2002, ISBN 3-540-44282-0
Technical Papers
- Jaime G. Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie, Ralf D. Brown, Lori S. Levin
:
Automatic Rule Learning for Resource-Limited MT. 1-10 - Michael Carl, Andy Way, Reinhard Schäler:
Toward a Hybrid Integrated Translation Environment. 11-20 - Thomas C. Chuang, Jason S. Chang:
Adaptive Bilingual Sentence Alignment. 21-30 - Bonnie J. Dorr, Lisa Pearl, Rebecca Hwa, Nizar Habash:
DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment. 31-43 - George F. Foster, Philippe Langlais, Guy Lapalme:
Text Prediction with Fuzzy Alignments. 44-53 - Ismael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta:
Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models. 54-63 - Claudia Gdaniec, Esmé Manandise:
Using Word Formation Rules to Extend MT Lexicons. 64-73 - Nano Gough, Andy Way, Mary Hearne:
Example-Based Machine Translation via the Web. 74-83 - Nizar Habash, Bonnie J. Dorr:
Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation. 84-93 - Changhyun Kim, Munpyo Hong, Yinxia Huang, Young Kil Kim, Sung Il Yang, Young Ae Seo, Sung-Kwon Choi:
Korean-Chinese Machine Translation Based on Verb Patterns. 94-103 - Philippe Langlais, Michel Simard:
Merging Example-Based and Statistical Machine Translation: An Experiment. 104-113 - Hyo-Kyung Lee:
Classification Approach to Word Selection in Machine Translation. 114-123 - Arul Menezes:
Better Contextual Translation Using Machine Learning. 124-134 - Robert C. Moore:
Fast and Accurate Sentence Alignment of Bilingual Corpora. 135-144 - Eric Nyberg, Teruko Mitamura, Kathryn L. Baker, David Svoboda, Brian Peterson, Jennifer Williams:
Deriving Semantic Knowledge from Descriptive Texts Using an MT System. 145-154 - Radu Soricut, Kevin Knight, Daniel Marcu:
Using a Large Monolingual Corpus to Improve Translation Accuracy. 155-164 - Takehito Utsuro, Takashi Horiuchi, Yasunobu Chiba, Takeshi Hamamoto:
Semi-automatic Compilation of Bilingual Lexicon Entries from Cross-Lingually Relevant News Articles on WWW News Sites. 165-176 - Ruvan Weerasinghe:
Bootstrapping the Lexicon Building Process for Machine Translation between 'New' Languages. 177-186
User Studies
- Anthony Clarke, Elisabeth Maier, Hans-Udo Stadler:
A Report on the Experiences of Implementing an MT System for Use in a Commercial Environment. 187-194 - D. Verne Morland:
Getting the Message In: A Global Company's Experience with the New Generation of Low-Cost, High Performance Machine Translation Systems. 195-206 - Nestor Rychtyckyj:
An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company. 207-215
System Descriptions
- Eli Abir, Steve Klein, David Miller, Michael Steinbaum:
Fluent Machines' EliMT System. 216-219 - Glenn A. Akers:
LogoMedia TRANSLATETM, Version 2.0. 220-223 - Howard J. Bender:
Natural Intelligence in a Machine Translation System. 224-228 - Bryce Benjamin, Kevin Knight, Daniel Marcu:
Translation by the Numbers: Language Weaver. 229-231 - Michael S. Blekhman, Andrei Kursin, Alla Rakova:
A New Family of the PARS Translation Systems. 232-236 - William B. Dolan, Jessie Pinkham, Stephen D. Richardson:
MSR-MT: The Microsoft Research Machine Translation System. 237-239 - Alon Lavie, Lori S. Levin, Robert E. Frederking, Fabio Pianesi:
The NESPOLE! Speech-to-Speech Translation System. 240-243 - Teruko Mitamura, Eric Nyberg, Kathryn L. Baker, Peter A. Cramer, Jeongwoo Ko, David Svoboda, Michael Duggan:
The KANTOO MT System: Controlled Language Checker and Lexical Maintenance Tool. 244-247 - Christine A. Montgomery, Naicong Li:
Approaches to Spoken Translation. 248-252
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