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Lexical and hierarchical topic regression
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In: http://www.umiacs.umd.edu/~jbg/docs/2013_shlda.pdf (2013)
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Topic models for dynamic translation model adaptation
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In: http://www.umiacs.umd.edu/~jbg/docs/acl_2012_tm_for_mt.pdf (2012)
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Shedding (a thousand points of) light on biased language
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In: http://www.aclweb.org/anthology-new/W/W10/W10-0723.pdf (2010)
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Modeling perspective using adaptor grammars
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In: http://www.cs.umd.edu/Grad/scholarlypapers/papers/Hardisty.pdf (2010)
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Shedding (a thousand points of) light on biased language
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In: http://www.cs.cmu.edu/%7Enasmith/papers/yano%2Bresnik%2Bsmith.wamt10.pdf (2010)
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Context-free reordering, finitestate translation
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In: http://www.aclweb.org/anthology/N/N10/N10-1128.pdf (2010)
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Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source-Corpus Hybrid Models
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In: http://www.umiacs.umd.edu/~saif/WebDocs/softsem.pdf (2009)
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Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
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In: http://drum.lib.umd.edu/bitstream/1903/9782/1/LAMP-TR-152.pdf (2009)
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Abstract:
Phrase-based decoding is conceptually simple and straightforward to implement, at the cost of drastically oversimplified reordering models. Syntactically aware models make it possible to cap-ture linguistically relevant relationships in order to improve word order, but they can be more complex to implement and optimise. In this paper, we explore a new middle ground between phrase-based and syntactically informed statistical MT, in the form of a model that supplements conventional, non-hierarchical phrase-based techniques with linguistically informed reordering based on syntactic dependency trees. The key idea is to exploit linguistically-informed hierarchical structures only for those dependencies that cannot be captured within a single flat phrase. For very local dependencies we leverage the success of conventional phrase-based approaches, which provide a sequence of target-language words appropriately ordered and ready-made with the appropriate agreement morphology. Working with dependency trees rather than constituency trees allows us to take advantage of the flexibility of phrase-based systems to treat non-constituent fragments as phrases. We do impose a requirement — that the fragment be a novel sort of “dependency constituent ” — on what can be translated as a phrase, but this is much weaker than the requirement that phrases be traditional linguistic constituents, which has often proven too restrictive in MT systems.
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URL: http://drum.lib.umd.edu/bitstream/1903/9782/1/LAMP-TR-152.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.605.7266
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Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
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In: http://lampsrv02.umiacs.umd.edu/pubs/TechReports/LAMP_152/LAMP_152.pdf (2009)
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Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
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In: http://www.mt-archive.info/EMNLP-2009-Marton.pdf (2009)
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Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
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In: http://www.mt-archive.info/ACL-2008-Marton.pdf (2008)
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Soft syntactic constraints for hierarchical phrased-based translation
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In: http://www1.ccls.columbia.edu/~ymarton/pub/acl08/MartonResnik_ACL08_SoftSyntacticConstraintsForSMT_final.pdf (2008)
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Are multiple reference translations necessary? Investigating the value of paraphrased reference translations in parameter optimization
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In: http://www.desilinguist.org/pdf/paraphrase-amta08.pdf (2008)
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Are multiple reference translations necessary? investigating the value of paraphrased reference translations in parameter optimization
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In: http://www.mt-archive.info/AMTA-2008-Madnani.pdf (2008)
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Crosslanguage parser adaptation between related languages
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In: http://www.mt-archive.info/IJCNLP-2008-Zeman.pdf (2008)
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Cross-Language Parser Adaptation between Related Languages
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In: http://www.aclweb.org/anthology/I/I08/I08-3008.pdf (2008)
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Bootstrapping Parsers via Syntactic Projection across Parallel Texts
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In: http://www.cs.pitt.edu/~hwa/nle04draft.pdf (2005)
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The Linguist’s Search Engine: an overview
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In: http://acl.ldc.upenn.edu/P/P05/P05-3009.pdf (2005)
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The Linguist’s Search Engine: an overview
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In: http://umiacs.umd.edu/~resnik/temp/lsedemo_for_class.pdf (2005)
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2005. A Paraphrase-Based Approach to Machine Translation Evaluation
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In: http://www.umiacs.umd.edu/~jimmylin/publications/Russo-Lassner_etal_TR2005.pdf (2005)
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