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Titlebook: Computational Linguistics and Intelligent Text Processing; 13th International C Alexander Gelbukh Conference proceedings 2012 Springer-Verl

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楼主: 适婚女孩
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Policy and Practice in the Classroomwo studies demonstrate a significant increase in the productivity of human translators, on the order of about 50% in the first study and of 68% in the second study conducted a year later. Both studies used a pool of 15 translators and concentrated on English-Spanish translation of IBM content in a production Translation Services Center.
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Document-Specific Statistical Machine Translation for Improving Human Translation Productivitywo studies demonstrate a significant increase in the productivity of human translators, on the order of about 50% in the first study and of 68% in the second study conducted a year later. Both studies used a pool of 15 translators and concentrated on English-Spanish translation of IBM content in a production Translation Services Center.
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Student Teachers in School Practicey parametrised utility functions, we achieve a highly flexible approach to the generation of document plans for different users. We apply this approach to the generation of reports on performance data. The questionnaire-based evaluation we accomplished so far corroborates the assumptions made in the model.
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Gaining a Critical Perspective,ild a PSCS model from the parallel training data. Then, we log linearly incorporate the PSCS model into a standard PBMT system. Our method is very simple and yields a 0.7 BLEU point improvement when compared to the baseline PBMT system.
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Karyn Cooper,Sardar M. Anwaruddine splitting beforehand. Both methods are evaluated over transcriptions of two historical documents in different Early New High German dialects, and the method developed is found to outperform the competing one by a great margin.
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https://doi.org/10.1007/978-3-030-23467-6nowledge base. Relation experiments show that, the presented method improved the performance of text categorization on traditional corpus, and our results were only about 5% lower than the baseline on cross-domain classification tasks. And thus we demonstrate the effectiveness of our method.
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Promotion of Bonding Among Peersidentically identified by both annotators). Part of the annotated text was used as a training corpus for the automatic recognition of events. In the experiments conducted so far (SVM and CRF) our best results are in the state of the art for this task (80.3% of F-measure).
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Diego Busiol,Mary T. W. Leung,Tak Yan Leeish corpora. We performed an evaluation based upon a machine-learning approach that shows that using weighted lexicons can be a good way to improve event extraction. We also propose a study concerning the necessary size of corpus to be used for creating a valuable lexicon.
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Abduction in Games for a Flexible Approach to Discourse Planningy parametrised utility functions, we achieve a highly flexible approach to the generation of document plans for different users. We apply this approach to the generation of reports on performance data. The questionnaire-based evaluation we accomplished so far corroborates the assumptions made in the model.
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