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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 – 9 of 9 1 Knowledge-Rich Morphological Priors for Bayesian Language Models ... Chahuneau, Victor; Smith, Noah A.; Dyer, Chris. - : Figshare, 2018 BASE Show details 2 Narrative framing of consumer sentiment in online restaurant reviews ... Jurafsky, Dan; Chahuneau, Victor; Routledge, Bryan R. - : Carnegie Mellon University, 2014 BASE Show details 3 Narrative framing of consumer sentiment in online restaurant reviews ... Jurafsky, Dan; Chahuneau, Victor; Routledge, Bryan R. - : Carnegie Mellon University, 2014 BASE Show details 4 Narrative framing of consumer sentiment in online restaurant reviews Jurafsky, Dan; Chahuneau, Victor; Routledge, Bryan R.... In: First Monday; Volume 19, Number 4 - 7 April 2014 ; 1396-0466 (2014) BASE Show details 5 Morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases Schlinger, Eva; Chahuneau, Victor; Dyer, Chris In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2013) 100, 51-62 OLC Linguistik Show details 6 morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases Chahuneau, Victor; Schlinger, Eva; Dyer, Chris In: DTIC (2013) Abstract: We present morphogen, a tool for improving translation into morphologically rich languages with synthetic phrases. We approach the problem of translating into morphologically rich languages in two phases. First, an inflection model is learned to predict target word inflections from source side context. Then this model is used to create additional sentence specific translation phrases. These synthetic phrases augment the standard translation grammars and decoding proceeds normally with a standard translation model. We present an open source Python implementation of our method, as well as a method of obtaining an unsupervised morphological analysis of the target language when no supervised analyzer is available. ; Published in The Prague Bulletin of Mathematical Linguistics, n100 p51-62, Oct 2013. The original document contains color images. Keyword: *MACHINE TRANSLATION; GRAMMARS; Linguistics; MORPHOLOGY; PE611103 URL: http://www.dtic.mil/docs/citations/ADA598334 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA598334 BASE Hide details 7 pycdec: a Python interface to cdec Chahuneau, Victor; Dyer, Chris; Smith, Noah A. In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2012) 98, 51-61 BLLDB OLC Linguistik Show details 8 pycdec: A Python Interface to cdec ... Chahuneau, Victor; Smith, Noah A.; Dyer, Chris. - : Carnegie Mellon University, 2012 BASE Show details 9 pycdec: A Python Interface to cdec ... Chahuneau, Victor; Smith, Noah A.; Dyer, Chris. - : Carnegie Mellon University, 2012 BASE Show details

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