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2003) French Amalgam: A machine-learned sentence realization system
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In: http://sites.univ-provence.fr/veronis/Atala/TALN/pdf/smets.pdf (2005)
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Linguistically informed statistical models of constituent structure for ordering in sentence realization
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In: http://www.aclweb.org/anthology-new/C/C04/C04-1097.pdf (2004)
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Linguistically informed statistical models of constituent structure for ordering in sentence realization
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In: http://www.mt-archive.info/Coling-2004-Ringger.pdf (2004)
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Machinelearned contexts for linguistic operations in German sentence realization
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In: http://research.microsoft.com/pubs/68881/acl02_mlcontext.pdf (2002)
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Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July 2002, pp. 25-32. Machine-learned contexts for linguistic operations
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In: http://acl.ldc.upenn.edu/P/P02/P02-1004.pdf (2002)
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Abstract:
We show that it is possible to learn the contexts for linguistic operations which map a semantic representation to a surface syntactic tree in sentence realization with high accuracy. We cast the problem of learning the contexts for the linguistic operations as classification tasks, and apply straightforward machine learning techniques, such as decision tree learning. The training data consist of linguistic features extracted from syntactic and semantic representations produced by a linguistic analysis system. The target features are extracted from links to surface syntax trees. Our evidence consists of four examples from the German sentence realization system code-named Amalgam: case assignment, assignment of verb position features, extraposition, and syntactic aggregation 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.9028
http://acl.ldc.upenn.edu/P/P02/P02-1004.pdf
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Intra-sentence punctuation insertion in natural language generation
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In: ftp://ftp.research.microsoft.com/pub/tr/tr-2002-58.pdf (2002)
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| 7 |
French Amalgam: A machine-learned sentence realization system
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In: http://research.microsoft.com/nlp/publications/TALN03-Fr-Amalg.pdf
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