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检索条件"任意字段=Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation"

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proceedings of naacl-hlt 2007/amta workshop on syntax and structure in statistical translation, SSST 2007

Proceedings of NAACL-HLT 2007/AMTA Workshop on Syntax and St...

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2007 amta workshop on syntax and structure in statistical translation, SSST 2007 at the 2007 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, naacl-hlt 2007

The proceedings contain 14 papers. The topics discussed include: chunk-level reordering of source language sentences with automatically learned rules for statistical machine translation;extraction phenomena in synchronous TAG syntax and semantics;inversion transduction grammar for joint phrasal translation modeling;factorization of synchronous context-free grammars in linear time;binarization, synchronous binarization, and target-side binarization;machine translation as tree labeling;discriminative word alignment by learning the alignment structure and syntactic divergence between a language pair;generation in machine translation from deep syntactic trees;and combining morphosyntactic enriched representation with n-best reranking in statistical translation.

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proceedings of SSST 2015: 9th workshop on syntax, Semantics and structure in statistical translation - naacl hlt 2015 / SIGMT / SIGLEX workshop

Proceedings of SSST 2015: 9th Workshop on Syntax, Semantics ...

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9th workshop on syntax, Semantics and structure in statistical translation, SSST 2015 at the naacl hlt 2015

ISBN: (纸本)9781941643419

The proceedings contain 12 papers. The topics discussed include: improving Chinese-English PropBank alignment;harmonizing word alignments and syntactic structures for extracting phrasal translation equivalents;non-projective dependency-based pre-reordering with recurrent neural network for machine translation;translating negation: induction, search and model errors;unsupervised false friend disambiguation using contextual word clusters and parallel word alignments;analyzing English-Spanish named-entity enhanced machine translation;and translation reranking using source phrase dependency features.

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proceedings of SSST 2009: 3rd workshop on syntax and structure in statistical translation at the 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, naacl-hlt 2009

Proceedings of SSST 2009: 3rd Workshop on Syntax and Structu...

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3rd workshop on syntax and structure in statistical translation, SSST 2009 at the 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, naacl-hlt 2009

ISBN: (纸本)9781932432398

The proceedings contain 10 papers. The topics discussed include: decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system;statistical phrase alignment model using dependency relation probability;empirical lower bounds on alignment error rates in syntax-based machine translation;improving phrase-based translation via word alignments from stochastic inversion transduction grammars;references extension for the automatic evaluation of MT by syntactic hybridization;a study of translation rule classification for syntax-based statistical machine translation;discriminative reordering with Chinese grammatical relations features;and on the complexity of alignment problems in two synchronous grammar formalisms.

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proceedings of the SSST 2013 - 7th workshop on syntax, Semantics and structure in statistical translation, SIGMT/SIGLEX workshop - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, naacl-hlt 2013

Proceedings of the SSST 2013 - 7th Workshop on Syntax, Seman...

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7th workshop on syntax, Semantics and structure in statistical translation, SSST 2013

ISBN: (纸本)9781937284473

The proceedings contain 8 papers. The topics discussed include: a semantic evaluation of machine translation lexical choice;taste of two different flavors: which Manipuri script works better for English-Manipuri language pair SMT systems?;hierarchical alignment decomposition labels for hiero grammar rules;a performance study of cube pruning for large-scale hierarchical machine translation;combining word reordering methods on different linguistic abstraction levels for statistical machine translation;a formal characterization of parsing word alignments by synchronous grammars with empirical evidence to the ITG hypothesis;and synchronous linear context-free rewriting systems for machine translation.

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Machine translation as tree labeling

Machine translation as tree labeling

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作者： Hopkins, Mark Kuhn, Jonas Department of Linguistics University of Potsdam Germany

We present the main ideas behind a new syntax-based machine translation system, based on reducing the machine translation task to a tree-labeling task. This tree labeling is further reduced to a sequence of decisions (of four varieties), which can be discriminatively trained. The optimal tree labeling (i.e. translation) is then found through a simple depth-first branch-and-bound search. An early system founded on these ideas has been shown to be competitive with Pharaoh when both are trained on a small subsection of the Europarl corpus. © 2007 Association for Computational Linguistics

关键词： Forestry

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A walk on the other side: Adding statistical components to a transfer-based translation system

A walk on the other side: Adding statistical components to a...

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作者： Llitjós, Ariadna Font Vogel, Stephan Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States

This paper seeks to complement the current trend of adding more structure to statistical Machine translation systems, by exploring the opposite direction: adding statistical components to a Transfer-Based MT system. Initial results on the BTEC data show significant improvement according to three automatic evaluation metrics (BLEU, NIST and METEOR). © 2007 Association for Computational Linguistics

关键词： Computer aided language translation

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Probabilistic synchronous tree-adjoining grammars for machine translation: The argument from bilingual dictionaries

Probabilistic synchronous tree-adjoining grammars for machin...

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作者： Shieber, Stuart M. School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States

We provide a conceptual basis for thinking of machine translation in terms of synchronous grammars in general, and probabilistic synchronous tree-adjoining grammars in particular. Evidence for the view is found in the structure of bilingual dictionaries of the last several millennia. © 2007 Association for Computational Linguistics

关键词： Machine translation

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Extraction phenomena in synchronous tag syntax and semantics

Extraction phenomena in synchronous tag syntax and semantics

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作者： Nesson, Rebecca Shieber, Stuart M. School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States

We present a proposal for the structure of noun phrases in Synchronous Tree-Adjoining Grammar (STAG) syntax and semantics that permits an elegant and uniform analysis of a variety of phenomena, including quantifier scope and extraction phenomena such as wh-questions with both moved and in-place wh-words, pied-piping, stranding of prepositions, and topicalization. The tight coupling between syntax and semantics enforced by the STAG helps to illuminate the critical relationships and filter out analyses that may be appealing for either syntax or semantics alone but do not allow for a meaningful relationship between them. © 2007 Association for Computational Linguistics

关键词： Semantics

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Three models for discriminative machine translation using global lexical selection and sentence reconstruction

Three models for discriminative machine translation using gl...

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作者： Venkatapathy, Sriram Bangalore, Srinivas Language Technologies Research Centre IIIT-Hyderabad Hyderabad500019 India AT&T Labs - Research Florham ParkNJ07932 United States

Machine translation of a source language sentence involves selecting appropriate target language words and ordering the selected words to form a well-formed target language sentence. Most of the previous work on statistical machine translation relies on (local) associations of target words/phrases with source words/phrases for lexical selection. In contrast, in this paper, we present a novel approach to lexical selection where the target words are associated with the entire source sentence (global) without the need for local associations. This technique is used by three models (Bag-of-words model, sequential model and hierarchical model) which predict the target language words given a source sentence and then order the words appropriately. We show that a hierarchical model performs best when compared to the other two models. © 2007 Association for Computational Linguistics

关键词： Machine translation

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Combining morphosyntactic enriched representation with n-best reranking in statistical translation

Combining morphosyntactic enriched representation with n-bes...

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作者： Bonneau-Maynard, H. Allauzen, A. Déchelotte, D. Schwenk, H. Spoken Language Processing Group LIMSI-CNRS BP 133 Orsay Cedex91403 France

The purpose of this work is to explore the integration of morphosyntactic information into the translation model itself, by enriching words with their morphosyntactic categories. We investigate word disambiguation using morphosyntactic categories, n-best hypotheses reranking, and the combination of both methods with word or morphosyntactic n-gram language model reranking. Experiments are carried out on the English-to-Spanish translation task. Using the morphosyntactic language model alone does not results in any improvement in performance. However, combining morphosyntactic word disambiguation with a word based 4-gram language model results in a relative improvement in the BLEU score of 2.3% on the development set and 1.9% on the test set. © 2007 Association for Computational Linguistics

关键词： translation (languages)

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