Báo cáo khoa học: "Partial Matching Strategy for Phrase-based Statistical Machine Translation" pptx

... Association for Computational LinguisticsPartial Matching Strategy for Phrase-based Statistical Machine TranslationZhongjun He1,2and Qun Liu1and Shouxun Lin11Key Laboratory of Intelligent Information ... uses a beam-search algorithm for decoding.1http://www.statmt.org/moses/162Therefore, we do incorporation by performing par-tial matching for phrase translation before decod-ing. The advantage ... Partial Matching for PBSMT2.1 Partial Matching We use matching similarity to measure how well thesource phrases match each other. Given two sourcephrasesfJ1andf′J1, the matching...

Báo cáo khoa học: "Sub-Sentence Division for Tree-Based Machine Translation" potx

... AFNLPSub-Sentence Division for Tree-Based Machine Translation Hao Xiong*, Wenwen Xu+, Haitao Mi*, Yang Liu* and Qun Liu* *Key Lab. of Intelligent Information Processing +Key ... {xionghao,xuwenwen,htmi,yliu,liuqun}@ict.ac.cn Abstract Tree-based statistical machine translation models have made significant progress in re-cent years, especially when replacing 1-best trees with packed forests. However, as the ... 1.1 BLEU points over the baseline system in 50% less time. 1 Introduction Tree-based statistical machine translation models in days have witness promising progress in recent years, such...

Báo cáo khoa học: "Minimum Error Rate Training in Statistical Machine Translation" potx

... criteria are, for example,F-Measure for parsing, mean average precision for ranked retrieval, and BLEU or multi-reference worderror rate for statistical machine translation. The useof statistical ... Minimum Error Rate Training in Statistical Machine TranslationFranz Josef OchInformation Sciences InstituteUniversity of Southern California4676 Admiralty Way, Suite 1001Marina ... are not addi-tive for different sentences, i.e. the score for a doc-ument cannot be obtained by simply summing overscores for individual sentences.4 Training Criteria for Minimum ErrorRate...

Tài liệu Báo cáo khoa học: "Models and Training for Unsupervised Preposition Sense Disambiguation" pptx

... HLT2010 First International Workshop on Formalisms andMethodology for Learning by Reading. Association for Computational Linguistics, Los Angeles, Califor-nia, June.Tom O’Hara and Janyce Wiebe. ... Sem-Eval 2007 task, (Litkowski and Hargraves, 2007)),and holds promise for NLP applications such asInformation Extraction or Machine Translation.1Given a sentence such as the following:In the ... trueL0norm.2We perform a grid search to tune thehyper-parameters of the smoothed L0prior for ac-curacy on the preposition against, since it has amedium number of senses and instances. For HMM,we...

Báo cáo khoa học: "A Probabilistic Model for Fine-Grained Expert Search" pptx

... present different qualities. For example, both topic “css test” and “test suite” are the bi-gram matching for query “css test suite”; however, the former might be more informative. To model that, ... we constructed the baseline by using the query matching methods of phrase matching, the expert matching methods of full name matching and email matching, and the relation of section relation. ... r, d> for short) for expert matching. Given a set of related evi-dences, we assume that the generation of an expert candidate c is independent with topic t and omit it in expert matching. ...

Báo cáo khoa học: "Learning Intonation Rules for Concept to Speech Generation" pptx

... words. The baseline performance achieved by always guessing the majority class is 67.09% for break index, 54.10% for pitch accent, 66.23% for phrase accent and 79.37% for boundary tone based ... compo- nent provides very rich syntactic and semantic information which has not been explored before for intonation modeling. This includes, for example, the semantic role played by each seman- ... boundary tone model, the best performance for all other three models improve sig- nificantly over the simple model with p=0.0017 for break index model, p=0 for both pitch accent and phrase...

Báo cáo khoa học: "Improving Decoding Generalization for Tree-to-String Translation" docx

... the most representative work is the forest-based translation method (Mi et al. 2008; Mi and Huang 2008; Zhang et al. 2009) in which a packed forest (forest for short) structure is used to effectively ... subtrees of T, referred to as matching constraint. Before discussing how to ap-ply our similarity-based matching constraints to reconstruct new similar source parse trees for de-coding at the decoding ... is used to effectively represent <Tn-best> for decod-ing. Forest-based approaches can increase the tree-to-string search space for decoding, but face a non-trivial problem of high...

Báo cáo khoa học: "Soft Syntactic Constraints for Hierarchical Phrased-Based Translation" docx

... directions for future work.2 Hierarchical Phrase-based Translation2.1 HieroHiero (Chiang, 2005; Chiang, 2007) is a hi-erarchical phrase-based statistical MT frameworkthat generalizes phrase-based ... language. We obtain substantialimprovements in performance for translationfrom Chinese and Arabic to English.1 IntroductionThe statistical revolution in machine translation, be-ginning with (Brown ... deﬁnitelylanguage-speciﬁc variations in the value of syntacticconstraints; for example, AdvP, the top performer inArabic, cannot possibly perform well for Chinese,since in our parses the AdvP constituents rarely...

Báo cáo khoa học: "A Revised Design for an Understanding Machine" doc

... has been proposed would appear to be really beyond the reach of a concerted effort. For information retrieval, and for social science, the implications of having a computer program able to reproduce ... all of it—becomes transformed into “meaningful” information before or as it reaches the person’s action direc- tion center. We may ask: What is the nature of the transformation it undergoes ... Meaning: A Design for an Understanding Machine (mimeographed, 1960), pp. 31-37. Copies available from the author. 23 This is basically the method here proposed for all machine translation,...

Báo cáo khoa học: "Exemplar-Based Models for Word Meaning In Context" pptx

... dataset, we obtained 33.1–36.5 for actT; 33.3–38.0 for actP; 37.7-39.9 for actTP. On theEP09 dataset, the numbers were 35.8–39.1 for actT; 38.1–39.9 for actP; 37.2–39.8 for actTP.4We did not have ... contextual features for allthe senses of the target. For example, among thetop 20 features for coach, we get match and team (for the “trainer” sense) as well as driver and car (for the “bus” sense). ... bestresults for individual POS, even though there aresubstantial differences among POS. For actT, thebest results emerge for all POS with kNN activationwith k between 10 and 30. For k=20, we...

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