constructing statistical language models
Báo cáo khoa học: "Generalized Algorithms for Constructing Statistical Language Models" pdf
... .Class-based models. In many applications, it is nat-ural and convenient to construct class-based language models, that is models based on classes of words (Brownet al., 1992). Such models are ... construc-tion of language models found in new language process-ing applications and reported experimental results show-ing their practicality for constructing very large models. These algorithms ... by as-signing them some probabilities. There are classicaltechniques for constructing language models such as-gram models with various smoothing techniques (seeChen and Goodman (1998) and...
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Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
... using statistical language models. In this paper, we also use support vectormachines to combine features from tradi-tional reading level measures, statistical language models, and other language ... that categoryor not, rather than constructing a classifier whichranks documents into different categories relative toeach other.4.1 Statistical Language Models Statistical LMs predict the probability ... of syntax. Our approach uses n-gram language models as a low-cost automatic ap-proximation of both syntactic and semantic analy-sis. Statistical language models (LMs) are used suc-cessfully...
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Tài liệu Báo cáo khoa học: "Generating statistical language models from interpretation grammars in dialogue systems" potx
... decades of statistical language modeling: Where do we go from here? In Proceed-ings of IEEE:88(8).Rosenfeld R. 2000. Incorporating Linguistic Structureinto Statistical Language Models. In ... comparison of in-grammar recognition performance.3 Language modellingTo generate the different trigram language models we used the SRI language modelling toolkit (Stol-cke, 2002) with Good-Turing ... movespecific statistical language models (DM-SLMs)by using GF to generate all utterances that arespecific to certain dialogue moves from our in-terpretation grammar. In this way we can pro-duce models...
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Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt
... of statistical machine translation: Parameter estimation. Computa-tional Linguistics, 19(2):263–311.Eugene Charniak, Kevin Knight, and Kenji Yamada.2003. Syntax-based language models for statistical machine ... as language models for statistical machine translation. In Proceed-ings of AMTA.Sylvain Raybaud, Caroline Lavecchia, David Langlois,and Kamel Sma¨ıli. 2009. New confidence measuresfor statistical ... Computational LinguisticsEnhancing Language Models in Statistical Machine Translationwith Backward N-grams and Mutual Information TriggersDeyi Xiong, Min Zhang, Haizhou LiHuman Language TechnologyInstitute...
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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx
... research in statistical machine trans-lation has effectively used n-gram word sequence models as language models. Modern phrase-based translation using large scalen-gram language models generally ... to incorporate large-scale n-gram language models in conjunction withincremental syntactic language models. The added decoding time cost of our syntactic language model is very high. By increasing ... translation model. Instead, we incor-porate syntax into the language model.Traditional approaches to language models inspeech recognition and statistical machine transla-tion focus on the use of...
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Tài liệu Báo cáo khoa học: "The impact of language models and loss functions on repair disfluency detection" pptx
... language models trained from text or speech corpora of vari-ous genres and sizes. The largest available language models are based on written text: we investigate theeffect of written text language models ... dif-ferences among the different language models whenextended features are present are relatively small.We assume that much of the information expressedin the language models overlaps with the lexical ... information fromthe external language models by defining a rerankerfeature for each external language model. The valueof this feature is the log probability assigned by the language model to the candidate...
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Tài liệu Báo cáo khoa học: "An Empirical Investigation of Discounting in Cross-Domain Language Models" ppt
... 2006. MAP adaptation of stochasticgrammars. Computer Speech & Language, 20(1):41 –68.Jerome R. Bellegarda. 2004. Statistical language modeladaptation: review and perspectives. Speech Commu-nication, ... of EnglishBigrams. Computer Speech & Language, 5(1):19–54.Joshua Goodman. 2001. A Bit of Progress in Language Modeling. Computer Speech & Language, 15(4):403–434.Bo-June (Paul) Hsu ... N-gram Language Models Based onOrdinary Counts. In Proceedings of the ACL-IJCNLP2009 Conference Short Papers, pages 349–352.Ronald Rosenfeld. 1996. A Maximum Entropy Ap-proach to Adaptive Statistical...
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Tài liệu Báo cáo khoa học: "Improved Smoothing for N-gram Language Models Based on Ordinary Counts" doc
... Kneser-Ney andthose methods.1 Introduction Statistical language models are potentially usefulfor any language technology task that producesnatural -language text as a final (or intermediate)output. ... perplexity of any known methodfor estimating N-gram language models. Kneser-Ney smoothing, however, requiresnonstandard N-gram counts for the lower-order models used to smooth the highest-order model. ... best approach when language models based on ordinary counts are desired.ReferencesChen, Stanley F., and Joshua Goodman. 1998.An empirical study of smoothing techniques for language modeling....
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Tài liệu Báo cáo khoa học: "Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model " pptx
... distance (Wagner and Fischer, 1974) and ngram distance (Angell et al., 1983). Recently, statistical language models and feature- based method have been used for context-sensitive spelling correction, ... times is c/(n + r). 923 Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model Masaaki NAGATA NTT Information and Communication Systems Laboratories 1-1 ... novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OCR model, an approxi- mate...
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Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
... 2007. Large language models in machine translation. In Proceedingsof the 2007 Joint Conference on Empirical Meth-ods in Natural Language Processing and Com-putational Natural Language Learning ... Kneser-Ney smoothed n-gram models. IEEE Transac-tions on Audio, Speech and Language Processing,15(5):1617–1624.A. Stolcke. 1998. Entropy-based pruning of backoff language models. In Proc. DARPA ... wereselected for each language. The adaptation wasthought to take place off-line on a server.3.2.1 Data setsFor each language, the adaptation takes place ontwo baseline models, which are the...
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Báo cáo khoa học: "The use of formal language models in the typology of the morphology of Amerindian languages" potx
... grammars for modeling agglutinationin this language, but first we will present the for-mer class of languages and its acceptor automata.3.1 Linear context free languages andtwo-taped nondeterministic ... 2010.c2010 Association for Computational LinguisticsThe use of formal language models in the typology of the morphology ofAmerindian languagesAndr´es Osvaldo PortaUniversidad de Buenos Aireshugporta@yahoo.com.arAbstractThe ... natural representa-tion in terms of linear context-free languages.2 Quichua Santiague˜noThe quichua santiague˜no is a language of theQuechua language family. It is spoken in the San-tiago del...
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Báo cáo khoa học: "Faster and Smaller N -Gram Language Models" pptx
... novel language modelcaching technique that improves the queryspeed of our language models (and SRILM)by up to 300%.1 IntroductionFor modern statistical machine translation systems, language models ... with two different language models. Our first language model, WMT2010, was a 5-gram Kneser-Ney language model which storesprobability/back-off pairs as values. We trained this language model on ... and Smaller N -Gram Language Models Adam Pauls Dan KleinComputer Science DivisionUniversity of California, Berkeley{adpauls,klein}@cs.berkeley.eduAbstractN-gram language models are a major...
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Báo cáo khoa học: "Randomized Language Models via Perfect Hash Functions" pptx
... 2007.Compressing trigram language models with golombcoding. In Proceedings of EMNLP-CoNLL 2007,Prague, Czech Republic, June.P. Clarkson and R. Rosenfeld. 1997 . Statistical language modeling using ... 2007a. Randomised language modelling for statistical machine translation. In 45thAnnual Meeting of the ACL 2007, Prague.D. Talbot and M. Osborne. 2007b. Smoothed Bloomfilter language models: Tera-scale ... alignmenttemplate approach to statistical machine translation.Computational Linguistics, 30(4):417–449.Andreas Stolcke. 1998. Entropy-based pruning of back-off language models. In Proc. DARPA Broadcast...
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Báo cáo khoa học: "Segmented and unsegmented dialogue-act annotation with statistical dialogue models∗" ppt
... the possibility of applying statistical models to the annotation problem is really inter-esting. Moreover, it gives the possibility of evalu-ating the statistical models. The evaluation of theperformance ... or statistical ma-chine translation), an alternative data-based ap-proach has been developed in the last decade (Stol-cke et al., 2000; Young, 2000). This approach re-lies on statistical models ... Pr(Wsk−dsk−(d+1)+1|Uk)This model can be easily implemented usingsimple statistical models (N-grams and HiddenMarkov Models) . The decoding (segmentationand DA assignation) was implemented using...
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Báo cáo khoa học: "Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difficulty of Texts for FFL" potx
... use of language models in-stead of word lists to measure lexical complex-ity. Schwarm and Ostendorf (2005) developeda SVM categoriser combining a classifier basedon trigram language models ... measures forfirst and second language texts. In Proceedings ofNAACL HLT, pages 460–467.M. Heilman, K. Collins-Thompson, and M. Eskenazi.2008. An analysis of statistical models and fea-tures for ... Methods in Language Process-ing, volume 12. Manchester, UK.S.E. Schwarm and M. Ostendorf. 2005. Reading levelassessment using support vector machines and sta-tistical language models. Proceedings...
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- combining a statistical language model
- web augmentation of language models
- generating statistical language models
- character level language models
- build chinese language models
- statistical decisiontree models for parsing
- constructing semantic space models
- statistical ngram language models
- syntax based language models for statistical machine translation
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