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MT for minority languages using elicitation-based learning of syntactic transfer rules (2002)
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| Venue: | Machine Translation |
| Citations: | 16 - 1 self |
BibTeX
@ARTICLE{Probst02mtfor,
author = {Katharina Probst and Lori Levin and Erik Peterson and Alon Lavie and Jaime Carbonell},
title = {MT for minority languages using elicitation-based learning of syntactic transfer rules},
journal = {Machine Translation},
year = {2002},
pages = {245--270}
}
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Abstract
Abstract. The AVENUE project contains a run-time machine translation program that is surrounded by pre- and post-run-time modules. The post-run-time module selects among translation alternatives. The pre-run-time modules are concerned with elicitation of data and automatic learning of transfer rules in order to facilitate the development of machine translation between a language with extensive resources for natural language processing and a language with few resources for natural language processing. This paper describes the run-time transfer-based machine translation system as well as two of the pre-run-time modules: elicitation of data from the minority language and automated learning of transfer rules from the elicited data. Key words: elicitation, rule learning, syntactic transfer rules, minority languages 1.
Keyphrases
minority language syntactic transfer rule elicitation-based learning pre-run-time module natural language processing transfer rule run-time machine translation program automatic learning avenue project rule learning post-run-time module selects extensive resource post-run-time module machine translation key word translation alternative run-time transfer-based machine translation system
