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    • DeNeefe, Steve (3)
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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 Tree-adjoining machine translation ... DeNeefe, Steve. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 2 Scalable Inference and Training of Context-Rich Syntactic Translation Models Graehl, Jonathan; Galley, Michel; DeNeefe, Steve; Knight, Kevin; Marcu, Daniel; Wang, Wei; Thayer, Ignacio. - : Proceedings of COLING/ACL, 2006 Abstract: Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syn- tactic approaches seek to remedy these problems. In this paper, we take the framework for acquiring multi-level syntactic translation rules of (Galley et al., 2004) from aligned tree-string pairs, and present two main extensions of their approach: first, instead of merely computing a single derivation that minimally explains a sentence pair, we construct a large number of derivations that include contextually richer rules, and account for multiple interpretations of unaligned words. Second, we pro- pose probability estimates and a training procedure for weighting these rules. We contrast different approaches on real examples, show that our estimates based on multiple derivations favor phrasal re-orderings that are linguistically better motivated, and establish that our larger rules provide a 3.63 BLEU point increase over minimal rules. Keyword: Computer science; Information technology URL: https://doi.org/10.7916/D8H99DP4 BASE Hide details 3 Scalable Inference and Training of Context-Rich Syntactic Translation Models ... Galley, Michel; Graehl, Jonathan; Knight, Kevin. - : Columbia University, 2006 BASE Show details

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