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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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21#
發(fā)表于 2025-3-25 07:10:07 | 只看該作者
22#
發(fā)表于 2025-3-25 09:56:55 | 只看該作者
Frank Lin,Teruko Mitamuraduce readers to the very wide range of applicability of linear programming, covering problems of manage- ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest siz
23#
發(fā)表于 2025-3-25 14:36:04 | 只看該作者
A Speech-to-Speech Translation System for Catalan, Spanish, and English,s in the reservation of a hotel room when calling or visiting abroad. The System has been developed as an extension of the existing NESPOLE! translation system [4] which translates between English, German, Italian and French. After a brief introduction we describe the Spanish and Catalan System comp
24#
發(fā)表于 2025-3-25 19:24:37 | 只看該作者
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MTes provide a reasonable initial estimate for word alignment. However, they cannot handle certain types of linguistic phenomena such as long-distance dependencies and structural differences between languages. We address this issue in Multi-Align, a new framework for incremental testing of different a
25#
發(fā)表于 2025-3-25 21:21:50 | 只看該作者
A Modified Burrows-Wheeler Transform for Highly Scalable Example-Based Translation,ion of the BWT to word-based indexing of the training corpus for an example-based machine translation (EBMT) system is presented. The adapted BWT embeds the necessary information to retrieve matched training instances without requiring any additional space and can be instantiated in a compressed for
26#
發(fā)表于 2025-3-26 00:36:21 | 只看該作者
27#
發(fā)表于 2025-3-26 05:15:14 | 只看該作者
Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment,Giza++ as a reference implementation of the IBM Model 1, an HMMbased alignment and IBM Model 4, we measure the impact of normalizing inflectional morphology on German-English statistical word alignment. We demonstrate that normalizing inflectional morphology improves the perplexity of models and red
28#
發(fā)表于 2025-3-26 09:26:11 | 只看該作者
29#
發(fā)表于 2025-3-26 13:20:16 | 只看該作者
30#
發(fā)表于 2025-3-26 18:59:35 | 只看該作者
,Online MT Services and Real Users’ Needs: An Empirical Usability Evaluation,tion (MT) services. The investigation is carried out from the point of view of typical users with an emphasis on their real needs, and focuses on a set of key usability criteria that have an impact on the successful deployment of Internet-based MT technology. A small-scale evaluation of the performa
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