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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding Tamchyna, Aleš; Braune, Fabienne; Fraser, Alexander... In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 101, 29-42 OLC Linguistik Show details 2 Statistical Techniques for Translating to Morphologically Rich Languages (Dagstuhl Seminar 14061) Koehn, Philipp; Uszkoreit, Hans; Schmid, Helmut. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2014. : Dagstuhl Reports. Dagstuhl Reports, Volume 4, Issue 2, 2014 BASE Show details 3 Statistical Techniques for Translating to Morphologically Rich Languages (Dagstuhl Seminar 14061) ... Fraser, Alexander M.; Knight, Kevin; Koehn, Philipp; Schmid, Helmut; Uszkoreit, Hans. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2014 Abstract: This report documents the program and the outcomes of Dagstuhl Seminar 14061 "Statistical Techniques for Translating to Morphologically Rich Languages". The seminar took place in February 2014. The purpose of the seminar was to allow disparate communities working on problems related to morphologically rich languages to meet to discuss an important research problem, translation to morphologically rich languages. While statistical techniques for machine translation have made significant progress in the last 20 years, results for translating to morphologically rich languages are still mixed versus previous generation rule-based systems, so this is a critical and timely topic. Current research in statistical techniques for translating to morphologically rich languages varies greatly in the amount of linguistic knowledge used and the form of this linguistic knowledge. This varies most strongly by target language, for instance the resources currently used for translating to Czech are very different from those used ... Keyword: Computer Science URL: https://dx.doi.org/10.4230/dagrep.4.2.1 http://drops.dagstuhl.de/opus/volltexte/2014/4542/ BASE Hide details

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