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检索条件"任意字段=Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation"

共 56 条记录，以下是21-30 订阅

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Synchronous Linear Context-Free Rewriting Systems for Machine translation 7

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

引用

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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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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proceedings of the 6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

Proceedings of the 6th Workshop on Syntax, Semantics and Str...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

ISBN: (纸本)9781937284381

The proceedings contain 13 papers. The topics discussed include: WSD for n-best reranking and local language modeling in SMT;linguistically enriched models for Bulgarian-to-English machine translation;enriching parallel corpora for statistical machine translation with semantic negation rephrasing;towards a predicate-argument evaluation for MT;using parallel features in parsing of machine-translated sentences for correction of grammatical errors;unsupervised vs. supervised weight estimation for semantic MT evaluation metrics;head finalization reordering for Chinese-to-Japanese machine translation;and extracting semantic transfer rules from parallel corpora with SMT phrase aligners.

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Enriching parallel corpora for statistical machine translation with semantic negation rephrasing 6

Enriching parallel corpora for statistical machine translati...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Wetzel, Dominikus Bond, Francis Department of Computational Linguistics Saarland University Germany Linguistics and Multilingual Studies Nanyang Technological University Singapore

ISBN: (纸本)9781937284381

This paper presents an approach to improving performance of statistical machine translation by automatically creating new training data for difficult to translate phenomena. In particular this contribution is targeted towards tackling the poor performance of a state-of-the-art system on negated sentences. The corpus expansion is achieved by high quality rephrasing of existing sentences to their negated counterparts making use of semantic transfer. The method is designed to work on both sides of the parallel corpus while preserving the alignment. Our results show an overall improvement of 0.16 BLEU points, with a statistically significant increase of 1.63 BLEU points when tested on only negated test data. © 2012 Association for Computational Linguistics.

关键词： semantics

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Zero pronoun resolution can improve the quality of J-E translation 6

Zero pronoun resolution can improve the quality of J-E trans...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Taira, Hirotoshi Sudoh, Katsuhito Nagata, Masaaki NTT Communication Science Laboratories 2-4 Hikaridai Seika-cho Kyoto Keihanna Science City619-0237 Japan

ISBN: (纸本)9781937284381

In Japanese, particularly, spoken Japanese, subjective, objective and possessive cases are very often omitted. Such Japanese sentences are often translated by Japanese-English statistical machine translation to the English sentence whose subjective, objective and possessive cases are omitted, and it causes to decrease the quality of translation. We performed experiments of J-E phrase based translation using Japanese sentence, whose omitted pronouns are complemented by human. We introduced 'antecedent F-measure' as a score for measuring quality of the translated English. As a result, we found that it improves the scores of antecedent F-measure while the BLEU scores were almost unchanged. Every effectiveness of the zero pronoun resolution differs depending on the type and case of each zero pronoun. © 2012 Association for Computational Linguistics.

关键词： Machine translation

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Linguistically-enriched models for Bulgarian-to-English machine translation 6

Linguistically-enriched models for Bulgarian-to-English mach...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Wang, Rui Osenova, Petya Simov, Kiril Language Technology Lab DFKI GmbH Saarbrücken Germany Linguistic Modelling Department IICT Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9781937284381

In this paper, we present our linguistically-enriched Bulgarian-to-English statistical machine translation model, which takes a statistical machine translation (SMT) system as backbone various linguistic features as factors. The motivation is to take advantages of both the robustness of the SMT system and the rich linguistic knowledge from morphological analysis as well as the hand-crafted grammar resources. The automatic evaluation has shown promising results and our extensive manual analysis confirms the high quality of the translation the system delivers. The whole framework is also extensible for incorporating information provided by different sources. © 2012 Association for Computational Linguistics.

关键词： Machine translation

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Head finalization reordering for Chinese-to-Japanese machine translation 6

Head finalization reordering for Chinese-to-Japanese machine...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Dan, Han Sudoh, Katsuhito Wu, Xianchao Duh, Kevin Tsukada, Hajime Nagata, Masaaki The Graduate University For Advanced Studies Tokyo Japan NTT Communication Science Laboratories NTT Corporation Japan Baidu Japan Inc Japan Japan

ISBN: (纸本)9781937284381

In statistical Machine translation, reordering rules have proved useful in extracting bilingual phrases and in decoding during translation between languages that are structurally different. Linguistically motivated rules have been incorporated into Chinese-to-English (Wang et al., 2007) and English-to-Japanese (Isozaki et al., 2010b) translation with significant gains to the statistical translation system. Here, we carry out a linguistic analysis of the Chinese-to-Japanese translation problem and propose one of the first reordering rules for this language pair. Experimental results show substantially improvements (from 20.70 to 23.17 BLEU) when head-finalization rules based on HPSG parses are used, and further gains (to 24.14 BLEU) were obtained using more refined rules. © 2012 Association for Computational Linguistics.

关键词： Machine translation

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Application of clause alignment for statistical machine translation 6

Application of clause alignment for statistical machine tran...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Koeva, Svetla Rizov, Borislav Stoyanova, Ivelina Leseva, Svetlozara Dekova, Rositsa Genov, Angel Tarpomanova, Ekaterina Dimitrova, Tsvetana Kukova, Hristina Department of Computational Linguistics Institute for Bulgarian Language Bulgarian Academy of Sciences Sofia1113 Bulgaria

ISBN: (纸本)9781937284381

The paper presents a new resource light flexible method for clause alignment which combines the Gale-Church algorithm with internally collected textual information. The method does not resort to any pre-developed linguistic resources which makes it very appropriate for resource light clause alignment. We experiment with a combination of the method with the original Gale-Church algorithm (1993) applied for clause alignment. The performance of this flexible method, as it will be referred to hereafter, is measured over a specially designed test corpus. The clause alignment is explored as means to provide improved training data for the purposes of statistical Machine translation (SMT). A series of experiments with Moses demonstrate ways to modify the parallel resource and effects on translation quality: (1) baseline training with a Bulgarian-English parallel corpus aligned at sentence level;(2) training based on parallel clause pairs;(3) training with clause reordering, where clauses in each source language (SL) sentence are reordered according to order of the clauses in the target language (TL) sentence. Evaluation is based on BLEU score and shows small improvement when using the clause aligned corpus. © 2012 Association for Computational Linguistics.

关键词： Computer aided language translation

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Improving statistical machine translation through co-joining parts of verbal constructs in English-Hindi translation 6

Improving statistical machine translation through co-joining...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Arora, Karunesh Kumar Sinha, Mahesh K. CDAC Anusandhan Bhawan C 56/1 Sector 62 Noida India JSS Academy of Technical Education C 20/1 Sector 62 Noida India

ISBN: (纸本)9781937284381

Verb plays a crucial role of specifying the action or function performed in a sentence. In translating English to morphologically richer language like Hindi, the organization and the order of verbal constructs contributes to the fluency of the language. Mere statistical methods of machine translation are not sufficient enough to consider this aspect. Identification of verb parts in a sentence is essential for its understanding and they constitute as if they are a single entity. Considering them as a single entity improves the translation of the verbal construct and thus the overall quality of the translation. The paper describes a strategy for pre-processing and for identification of verb parts in source and target language corpora. The steps taken towards reducing sparsity further helped in improving the translation results. © 2012 Association for Computational Linguistics.

关键词： Machine translation

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Using domain-specific and collaborative resources for term translation 6

Using domain-specific and collaborative resources for term t...

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6th workshop on syntax, semantics and structure in statistical translation, SSST 2012 at the 50th Annual Meeting of the Association for Computational Linguistics, ACT 2012

作者： Arcan, Mihael Buitelaar, Paul Federmann, Christian Unit for Natural Language Processing Digital Enterprise Research Institute Galway Ireland Language Technology Lab German Research Center for AI Saarbrücken Germany

ISBN: (纸本)9781937284381

In this article we investigate the translation of terms from English into German and vice versa in the isolation of an ontology vocabulary. For this study we built new domain-specific resources from the translation search engine Linguee and from the online encyclopedia Wikipedia. We learned that a domain-specific resource produces better results than a bigger, but more general one. The first finding of our research is that the vocabulary and the structure of the parallel corpus are important. By integrating the multilingual knowledge base Wikipedia, we further improved the translation wrt. the domain-specific resources, whereby some translation evaluation metrics outperformed the results of Google Translate. This finding leads us to the conclusion that a hybrid translation system, a combination of bilingual terminological resources and statistical machine translation can help to improve translation of domain-specific terms. © 2012 Association for Computational Linguistics.

关键词： Search engines

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