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Titlebook: Machine Translation: From Real Users to Research; 6th Conference of th Robert E. Frederking,Kathryn B. Taylor Conference proceedings 2004 S

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樓主: ABS
31#
發(fā)表于 2025-3-26 21:54:44 | 只看該作者
Feedback from the Field: The Challenge of Users in Motion,nd stressful environments. We first consider the process of acquiring feedback: the difficulty of getting and interpreting it, the kinds of information that have been used in place of or as predictors of direct feedback, and the validity and completeness of that information. We then look at how to b
32#
發(fā)表于 2025-3-27 03:19:18 | 只看該作者
The Georgetown-IBM Experiment Demonstrated in January 1954,y – caused a great deal of public interest and much controversy. Although a small-scale experiment of just 250 words and six ‘grammar’ rules it raised expectations of automatic systems capable of high quality translation in the near future. This paper describes the system, its background, its impact
33#
發(fā)表于 2025-3-27 05:33:29 | 只看該作者
The PARS Family of Machine Translation Systems for Dutch System Description/Demonstration,ial product, while PARS/HD, for Dutch.German MT, and PARS/HF, for Dutch.French, are under way. The PARS/Dutch family of MT systems is based on the rule-based Lingvistica’s Dutch morphological-syntactic analyzer and synthesizer dealing with vowel and consonant alterations in Dutch words, as well as D
34#
發(fā)表于 2025-3-27 10:49:10 | 只看該作者
Rapid MT Experience in an LCTL (Pashto),ull-time native speakers (one with a Ph.D. in general linguistics, and translation experience) and one part-time descriptive linguist with a typological-functional background. In addition, we had a legacy MT software system, which neither the speakers nor the linguist was familiar with, although we
35#
發(fā)表于 2025-3-27 16:48:29 | 只看該作者
36#
發(fā)表于 2025-3-27 19:39:54 | 只看該作者
Alignment of Bilingual Named Entities in Parallel Corpora Using Statistical Model,rts to identify named entities within monolingual documents are numerous, extracting bilingual named entities has not been investigated extensively owing to the complexity of the task. In this paper, we describe a statistical phrase translation model and a statistical transliteration model. Under th
37#
發(fā)表于 2025-3-28 00:01:56 | 只看該作者
38#
發(fā)表于 2025-3-28 04:24:56 | 只看該作者
39#
發(fā)表于 2025-3-28 07:23:42 | 只看該作者
40#
發(fā)表于 2025-3-28 12:31:56 | 只看該作者
0302-9743 ght to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesa
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