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检索条件"任意字段=7th Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST 2013"

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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...

引用

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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A Semantic Evaluation of Machine translation Lexical Choice 7

A Semantic Evaluation of Machine Translation Lexical Choice

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7th workshop on syntax, semantics and structure in statistical translation, ssst 2013

作者： Carpuat, Marine National Research Council 1200 Montreal Rd OttawaONK1A 0R6 Canada

ISBN: (纸本)9781937284473

While automatic metrics of translation quality are invaluable for machine translation research, deeper understanding of translation errors require more focused evaluations designed to target specific aspects of translation quality. We show that Word Sense Disambiguation (WSD) can be used to evaluate the quality of machine translation lexical choice, by applying a standard phrase-based SMT system on the SemEval2010 Cross-Lingual WSD task. this case study reveals that the SMT system does not perform as well as a WSD system trained on the exact same parallel data, and that local context models based on source phrases and target n-grams are much weaker representations of context than the simple templates used by the WSD system. ©2013 Association for Computational Linguistics.

关键词： Machine translation

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Taste of Two Different Flavours: Which Manipuri Script Works Better for English-Manipuri Language Pair SMT Systems? 7

Taste of Two Different Flavours: Which Manipuri Script Works...

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7th workshop on syntax, semantics and structure in statistical translation, ssst 2013

作者： Singh, thoudam Doren Gulmohor Cross Road No 9 Juhu Mumbai400049 India

ISBN: (纸本)9781937284473

the statistical machine translation (SMT) system heavily depends on the sentence aligned parallel corpus and the target language model. this paper points out some of the core issues on switching a language script and its repercussion in the phrase based statistical machine translation system development. the present task reports on the outcome of English- Manipuri language pair phrase based SMT task on two aspects - a) Manipuri using Bengali script, b) Manipuri using transliterated Meetei Mayek script. Two independent views on Bengali script based SMT and transliterated Meitei Mayek based SMT systems of the training data and language models are presented and compared. the impact of various language models is commendable in such scenario. the BLEU and NIST score shows that Bengali script based phrase based SMT (PBSMT) outperforms over the Meetei Mayek based English to Manipuri SMT system. However, subjective evaluation shows slight variation against the automatic scores. ©2013 Association for Computational Linguistics.

关键词： Computer aided language translation

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Synchronous Linear Context-Free Rewriting Systems for Machine translation 7

Synchronous Linear Context-Free Rewriting Systems for Machin...

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7th workshop on syntax, semantics and structure in statistical translation, ssst 2013

作者： Kaeshammer, Miriam University of D¨usseldorf Universiẗatsstraße 1 Düsseldorf40225 Germany

ISBN: (纸本)9781937284473

We propose synchronous linear context-free rewriting systems as an extension to synchronous context-free grammars in which synchronized non-terminals span k 1 continuous blocks on each side of the bitext. Such discontinuous constituents are required for inducing certain alignment configurations that occur relatively frequently in manually annotated parallel corpora and that cannot be generated with less expressive grammar formalisms. As part of our investigations concerning the minimal k that is required for inducing manual alignments, we present a hierarchical aligner in form of a deduction system. We find that by restricting k to 2 on both sides, 100% of the data can be covered. ©2013 Association for Computational Linguistics.

关键词： Context free grammars

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CombiningWord Reordering Methods on different Linguistic Abstraction Levels for statistical Machine translation 7

CombiningWord Reordering Methods on different Linguistic Abs...

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7th workshop on syntax, semantics and structure in statistical translation, ssst 2013

作者： Herrmann, Teresa Niehues, Jan Waibel, Alex Institute for Anthropomatics Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9781937284473

We describe a novel approach to combining lexicalized, POS-based and syntactic treebased word reordering in a phrase-based machine translation system. Our results show that each of the presented reordering methods leads to improved translation quality on its own. the strengths however can be combined to achieve further improvements. We present experiments on German-English and German- French translation. We report improvements of 0.7 BLEU points by adding tree-based and lexicalized reordering. Up to 1.1 BLEU points can be gained by POS and tree-based reordering over a baseline with lexicalized reordering. A human analysis, comparing subjective translation quality as well as a detailed error analysis show the impact of our presented tree-based rules in terms of improved sentence quality and reduction of errors related to missing verbs and verb positions. ©2013 Association for Computational Linguistics.

关键词： Error analysis

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A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine translation 7

A Performance Study of Cube Pruning for Large-Scale Hierarch...

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7th workshop on syntax, semantics and structure in statistical translation, ssst 2013

作者： Huck, Matthias Vilar, David Freitag, Markus Ney, Hermann Human Language Technology and Pattern Recognition Group Rwth Aachen University AachenD-52056 Germany Dfki GmbH Alt-Moabit 91c BerlinD-10559 Germany

ISBN: (纸本)9781937284473

In this paper, we empirically investigate the impact of critical configuration parameters in the popular cube pruning algorithm for decoding in hierarchical statistical machine translation. Specifically, we study how the choice of the k-best generation size affects translation quality and resource requirements in hierarchical search. We furthermore examine the influence of two different granularities of hypothesis recombination. Our experiments are conducted on the large-scale Chinese!English and Arabic!English NIST translation tasks. Besides standard hierarchical grammars, we also explore search with restricted recursion depth of hierarchical rules based on shallow-1 grammars. ©2013 Association for Computational Linguistics.

关键词： Computer aided language translation

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Preference grammars and soft syntactic constraints for GHKM syntax-based statistical machine translation 8

Preference grammars and soft syntactic constraints for GHKM ...

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8th workshop on syntax, semantics and structure in statistical translation, ssst 2014

作者： Huck, Matthias Hoang, Hieu Koehn, Philipp School of Informatics University of Edinburgh 10 Crichton Street EdinburghEH8 9AB United Kingdom

ISBN: (纸本)9781937284961

In this work, we investigate the effectiveness of two techniques for a feature-based integration of syntactic information into GHKM string-to-tree statistical machine translation (Galley et al., 2004): (1.) Preference grammars on the target language side promote syntactic wellformedness during decoding while also allowing for derivations that are not linguistically motivated (as in hierarchical translation). (2.) Soft syntactic constraints augment the system with additional source-side syntax features while not modifying the set of string-to-tree translation rules or the baseline feature scores. We conduct experiments with a state-of-the-art setup on an English→German translation task. Our results suggest that preference grammars for GHKM translation are inferior to the plain target-syntactified model, whereas the enhancement with soft source syntactic constraints provides consistent gains. By employing soft source syntactic constraints with sparse features, we are able to achieve improvements of up to 0.7 points BLEU and 1.0 points TER. © 2014 Association for Computational Linguistics

关键词： Syntactics

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Automatic projection of semantic structures: An application to pairwise translation ranking 5

Automatic projection of semantic structures: An application ...

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5th workshop on syntax, semantics and structure in statistical translation, ssst 2011 at the Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011

作者： Pighin, Daniele Màrquez, Lluís TALP Research Center Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9781932432992

We present a model for the inclusion of semantic role annotations in the framework of confidence estimation for machine translation. the model has several interesting properties, most notably: 1) it only requires a linguistic processor on the (generally well-formed) source side of the translation;2) it does not directly rely on properties of the translation model (hence, it can be applied beyond phrase-based systems). these features make it potentially appealing for system ranking, translation re-ranking and user feedback evaluation. Preliminary experiments in pairwise hypothesis ranking on five confidence estimation benchmarks show that the model has the potential to capture salient aspects of translation quality. © 2011 Association for Computational Linguistics

关键词： Benchmarking

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Analyzing English-Spanish Named-Entity enhanced Machine translation 9

Analyzing English-Spanish Named-Entity enhanced Machine Tran...

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9th workshop on syntax, semantics and structure in statistical translation, ssst 2015 at the NAACL HLT 2015

作者： Artetxe, Mikel Agirre, Eneko Alegria, Inaki Labaka, Gorka IXA NLP Group University of the Basque Country UPV/EHU

ISBN: (纸本)9781941643419

translation of named-entities (NEs) is an issue in SMT. In this paper we analyze the errors when translating NEs with a SMT system from English to Spanish. We train on Europarl and test on News Commentary, focusing on entities correctly recognized by an automatic NE recognition system. the automatic systems translate around 85% NEs correctly, leaving a small margin for improving performance. In addition, we implement a purpose-build NE translator and integrate it in the SMT system, yielding a small but significant improvement in BLEU score. Our analysis shows that, contrary to similar systems translating from Chinese to English, there was no improvement in NE translation, prompting further work. © 2015 Association for Computational Linguistics

关键词： Natural language processing systems

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Vector space models for phrase-based machine translation 8

Vector space models for phrase-based machine translation

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8th workshop on syntax, semantics and structure in statistical translation, ssst 2014

作者： Alkhouli, Tamer Guta, Andreas Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany Spoken Language Processing Group Univ. Paris-Sud France LIMSI/CNRS Orsay France

ISBN: (纸本)9781937284961

this paper investigates the application of vector space models (VSMs) to the standard phrase-based machine translation pipeline. VSMs are models based on continuous word representations embedded in a vector space. We exploit word vectors to augment the phrase table with new inferred phrase pairs. this helps reduce out-of-vocabulary (OOV) words. In addition, we present a simple way to learn bilingually-constrained phrase vectors. the phrase vectors are then used to provide additional scoring of phrase pairs, which fits into the standard log-linear framework of phrase-based statistical machine translation. Both methods result in significant improvements over a competitive in-domain baseline applied to the Arabic-to-English task of IWSLT 2013. © 2014 Association for Computational Linguistics

关键词： Vectors

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