نتایج جستجو برای: empirical methods
تعداد نتایج: 2044956 فیلتر نتایج به سال:
This paper describes the joint submission of the QT21 projects for the English→Latvian translation task of the EMNLP 2017 Second Conference on Machine Translation (WMT 2017). The submission is a system combination which combines seven different statistical machine translation systems provided by the different groups. The systems are combined using either RWTH’s system combination approach, or U...
The principal aim of this study is to assess the strength in Pakistan of a set of hypothesized obstacles to practicing contraception. Survey data are analyzed that were collected in Punjab province in 1996 and that contain unusually detailed measurement of various perceived costs of practicing contraception, as well as focused measurement of fertility motivation. The framework guiding the resea...
This paper describes the UPM system for translation task at the EMNLP 2011 workshop on statistical machine translation (http://www.statmt.org/wmt11/), and it has been used for both directions: Spanish-English and English-Spanish. This system is based on Moses with two new modules for pre and post processing the sentences. The main contribution is the method proposed (based on the similarity wit...
In this paper we describe the Institute for Logic, Language and Computation (University of Amsterdam) phrase-based statistical machine translation system for Englishto-German translation proposed within the EMNLP-WMT 2011 shared task. The main novelty of the submitted system is a syntaxdriven pre-translation reordering algorithm implemented as source string permutation via transfer of the sourc...
This paper describes the Johns Hopkins University submissions to the shared translation task of EMNLP 2017 Second Conference on Machine Translation (WMT 2017). We set up phrase-based, syntax-based and/or neural machine translation systems for all 14 language pairs of this year’s evaluation campaign. We also performed neural rescoring of phrasebased systems for English-Turkish and English-Finnish.
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