Machine Translation: From Research to Real Users: 5th by Jaime Carbonell, Katharina Probst, Erik Peterson, Christian

By Jaime Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie (auth.), Stephen D. Richardson (eds.)

AMTA 2002: From examine to actual clients Ever because the showdown among Empiricists and Rationalists a decade in the past at TMI ninety two, MT researchers have hotly pursued promising paradigms for MT, together with da- pushed ways (e.g., statistical, example-based) and hybrids that combine those with extra conventional rule-based elements. through the comparable interval, advertisement MT structures with normal move archit- tures have advanced alongside a parallel and virtually unrelated music, expanding their cov- age (primarily via guide replace in their lexicons, we suppose) and attaining a lot broader reputation and utilization, largely in the course of the medium of the web. website translators became regular; a couple of on-line translation s- vices have seemed, together with of their choices either uncooked and postedited MT; and massive organisations were turning more and more to MT to handle the exigencies of worldwide communique. nonetheless, the output of the transfer-based platforms hired during this enlargement represents yet a small drop within the ever-growing translation industry bucket.

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Extra resources for Machine Translation: From Research to Real Users: 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, USA, October 8 – 12, 2002 Proceedings

Example text

The differing sections in the source template and the input sentence are identified and translated by a rule-based noun-phrase translation system. However, even a very large data-driven MT system is unlikely to be able to translate a completely new sentence correctly, let alone an entire new text. However, such systems are able to ‘learn’ in that new examples can be added to the system database, so that subsequent encounters with previously unknown strings will be translated successfully. In RBMT systems there is no such analogous process.

Sentence alignment based on new values of mean and deviation. Do essentially as Step 3 except µ1 andσ1 are used instead of µ0 and σ0. 11. The initial values for the probability of match types are derived from bilingual articles published in Sinorama magazine, 1991 given in Table 1. 4 Using Lexical Information in Addition to Length In order to incorporate lexical information in the sentence alignment process, we take advantage of IBM Model 1 for statistical machine translation proposed by Brown et al.

Linguistic expressions in texts are restricted to a subset of natural languages. They are characterized by simplified grammars and 14 Michael Carl, Andy Way, and Reinhard Sch¨ aler style rules, a simplified and controlled vocabulary with well defined meanings, and a thesaurus of frequently occurring terms. Controlled languages are used to enhance the clarity, usability, and translatability of documents. 8], “the concept of controlled language is a mental offspring of machine translation”. g. Boeing, British Airways, Caterpillar) use controlled language in their writing environment.

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