discriminative n gram language modeling for turkish
Tài liệu Báo cáo khoa học: "Improved Smoothing for N-gram Language Models Based on Ordinary Counts" doc
... is a single unknown probability distribution for the amount of quantization error in every N- gram count. If so, the total quantization error for a given context will tend to be proportional to ... new method eliminatingmost of the gap between Kneser-Ney andthose methods.1 IntroductionStatistical language models are potentially useful for any language technology task that producesnatural -language ... currently be the 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...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... University.http://arXiv.org/abs/cs/0105019.Ronald Rosenfeld, Stanley Chen, and Xiaojin Zhu. 2001.Whole-sentence exponential language models: a vehicle for linguistic-statistical integration. In Computer Speech and Language. Fei Sha and ... modeling. In Proceedings of the36th Annual Meeting of the Association for ComputationalLinguistics and 17th International Conference on Computa-tional Linguistics, pages 225–231.Ciprian Chelba ... Fernando Pereira. 2003. Shallow parsing withconditional random fields. In Proceedings of the Human Language Technology Conference and Meeting of the NorthAmerican Chapter of the Association for...
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Tài liệu Báo cáo khoa học: "A Succinct N-gram Language Model" ppt
... lossyrepresentation (Talbot and Brants, 2008).2 N -gram Language ModelWe assume a back-off N- gram language model inwhich the conditional probability Pr(w n |w n 11) for an arbitrary N- gram w n 1=(w1, ... thehighest order N- grams is 1.2G.We implemented an N- gram indexer/estimatorusing MPI inspired by the MapReduce imple-mentation of N -gram language model index-ing/estimation pipeline (Brants et al., ... Compressingtrigram language models with Golomb coding. InProc. of EMNLP-CoNLL 2007.O. Delpratt, N. Rahman, and R. Raman. 2006. Engi-neering the LOUDS succinct tree representation. InProc....
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Báo cáo khoa học: "Faster and Smaller N -Gram Language Models" pptx
... number of keys and values needed for n- gram language modeling, generic implementations do notwork efficiently “out of the box.” In this section,we will review existing techniques for encoding ... Eachnode in the tree encodes a word, and paths in thetree correspond to n- grams in the collection. Triesensure that each n- gram prefix is represented onlyonce, and are very efficient when n- grams ... scalabledecoder for parsing-based machine translation withequivalent language model state maintenance. In Pro-ceedings of the Second Workshop on Syntax and Struc-ture in Statistical Translation.Zhifei...
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Báo cáo khoa học: "Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation" pdf
... Measuring con-fidence intervals for the machine translation evalua-tion metrics. In Proceedings of The 10th InternationalConference on Theoretical and Methodological Issuesin Machine Translation.Bing ... Machine Intelli-gence.George Foster, Cyril Goutte, and Roland Kuhn. 2010. Discriminative instance weighting for domain adapta-tion in satistical machine translation. In Proceedingsof EMNLP.Abraham ... translation performance significantly on alarge-scale Arabic-to-English MT task.1 IntroductionSignificant progress has been made in statisti-cal machine translation (SMT) in recent years.Among...
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Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
... grounded language modeling, an extension of tradition lan-guage modeling in which the probability of a word is conditioned not only on the previous word(s) but also on the non-linguistic context ... grounded language models. Estimating bigram and trigram models can be done by processing on word pairs or triples, and performing normalization on the resulting conditional distributions. ... In-ternational Conference on Knowledge Discovery and Data Mining. Seattle, Washington. Stolcke, A., (2002). SRILM - An Extensible Language Modeling Toolkit, in Proc. Intl. Conf. Spoken Lan-guage...
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Báo cáo khoa học: "Discriminative Pruning of Language Models for Chinese Word Segmentation" ppt
... Association for Computational Linguistics Discriminative Pruning of Language Models for Chinese Word Segmentation Jianfeng Li Haifeng Wang Dengjun Ren Guohua Li Toshiba (China) Research and Development ... Jiang, and Chin-Hui Lee. 2002. Discriminative Training of Language Models for Speech Recognition. In Proc. of the 27th International Conference On Acoustics, Speech and Signal Processing ... P(S|W). In language model pruning, Λ is an invariable. The discriminative pruning criterion is in-spired by the comparison of segmented sentences using full-bigram model ГF and using base...
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Tài liệu Báo cáo khoa học: "Discriminative Lexicon Adaptation for Improved Character Accuracy – A New Direction in Chinese Language Modeling" pptx
... statis-tical language modeling for Chinese. ACM Trans-action on Asian Language Information Processing,1(1):3–33.Jianfeng Gao, Mu Li, Andi Wu, and Chang-NingHuang. 2004. Chinese word segmentation: A ... characters in the lexi-con and using the training data to alter the currentlexicon in each iteration. This is also an interestingdirection.ReferencesMaximilian Bisani and Hermann Ney. 2005. Open vo-cabulary ... recognition with flat hybrid models.In Interspeech, pages 725–728.Keh-Jiann Chen and Wei-Yun Ma. 2002. Unknownword extraction for chinese documents. In COLING,pages 169–175.Berlin Chen, Jen-Wei...
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Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
... removed and, like before, theuser can take a break and then the system continueswith the next epoch.3 Language Modeling Language modeling is important for many text pro-cessing applications, e.g., ... Fried-Oken.2010. Scanning methods and language modeling for binary switch typing. In Proceedings of the NAACLHLT 2010 Workshop on Speech and Language Pro-cessing for Assistive Technologies, pages ... history is ob-tained from the language model. Seventh, Bayesianfusion (which assumes the EEG-based informationand the language model information are statisticallyindependent given the class label)...
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Tài liệu Báo cáo khoa học: "Source-Language Entailment Modeling for Translating Unknown Terms" ppt
... table entries) for the unknown termswhen using synonyms, and 1,643 when using bothsynonyms and hypernyms, accounting for 43%and 66% of the test sentences, respectively.The number of alternative ... sin-gle unknown term often affects the translation ofwider portions of text, inducing errors in both lex-ical selection and ordering. This phenomenon isdemonstrated in the following sentences, ... hypernyms, which typicallyconform with entailment. We do not rely on senseinformation in WordNet. Hence, any other seman-tic resource for entailment rules can be utilized.Each sentence is...
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Tài liệu Báo cáo khoa học: "A Unified Framework for Automatic Evaluation using N-gram Co-Occurrence Statistics" pptx
... ∑∑∑∑∈∈∈∈=}{),(}{),()()()(CandidatesCnCSngramCandidatesCnCSngramclipngramCountngramCountnP where Count(ngram) is the number of n- gram counts, and Countclip(ngram) is the maximum number of co-occurrences of ngram ... ),()()()(ferencesRnRSngramferencesRnRSngramclipngramCountngramCountnR where, as before, Count(ngram) is the number of n- gram counts, and Countclip(ngram) is the maximum number of co-occurrences of ngram in the reference answer and its corresponding ... using ST and eliminating the unigrams found in SW. We therefore define a recall score as: ∑∑∑∑∈∈∈∈=}{Re ),(}{Re ),()()()(ferencesRnRSngramferencesRnRSngramclipngramCountngramCountnR...
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Báo cáo khoa học: "A Scalable Probabilistic Classifier for Language Modeling" pdf
... Proceedings of the 5th International Con-ference on Spoken Language Processing, pages 1694–1698, Sydney, Australia.R. Kneser and H. Ney. 1995. Improved Backing-off for M -Gram Language Modeling. In ... 2002. SRILM – An Extensible Language Modeling Toolkit. In Proceedings of the 7th Inter-national Conference on Spoken Language Processing,pages 901–904, Denver, CO, USA.A. Van den Bosch. 2005. Scalable ... ofthe information contained in the conditioning con-text, as indicated by the fact that VM-SR matchesKN whereas VM-BA doesn’t. At orders 4 and 5,VM-LR outperforms KN on all datasets, bringingimprovements...
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Báo cáo khoa học: "An Efficient Indexer for Large N-Gram Corpora" docx
... Melbourne, Australia.R. Kneser and H. Ney. 1995. Improved backing-off for n- gram language modeling. In Acoustics, Speech, andSignal Processing, 1995. ICASSP-95., 1995 Interna-tional Conference on, ... Efficient Indexer for Large N- Gram CorporaHakan CeylanDepartment of Computer ScienceUniversity of North TexasDenton, TX 76203hakan@unt.eduRada MihalceaDepartment of Computer ScienceUniversity ... definition, eachinternal node except the root can have any number ofkeys in the range [v, 2v], and the root must have atleast one key. Finally, an internal node with k keyshas k + 1 children.4.2...
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Báo cáo khoa học: "Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining" ppt
... integrated syntactic language modeling. Ph.D. thesis, Brown University.L. Huang and K. Sagae. 2010. Dynamic Programming for Linear-Time Incremental Parsing. In Proceedingsof ACL.Zhongqiang ... Discrimina-tive syntactic language modeling for speech recogni-tion. In ACL.Denis Filimonov and Mary Harper. 2009. A joint language model with fine-grain syntactic tags. InEMNLP.Yoav Goldberg and Michael ... entropy tech-niques for exploiting syntactic, semantic and colloca-tional dependencies in language modeling. ComputerSpeech and Language, pages 355–372.S. K¨ubler, R. McDonald, and J. Nivre. 2009....
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Báo cáo khoa học: "Approximation Lasso Methods for Language Modeling" doc
... Exploiting headword dependency and predictive clustering for language modeling. In EMNLP 2002. Gao. J., Yu, H., Yuan, W., and Xu, P. 2005. Minimum sample risk methods for language modeling. In HLT/EMNLP ... models. In the first column, the numbers in parentheses next to the domain name indicates the number of training sentences used for adaptation. Baseline, with results shown in Column 3, is ... containing newspapers and other sources of text), Encarta (encyclopedia) and Shincho (collection of novels). All corpora have been pre-word-segmented us-ing a lexicon containing 167,107 entries....
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