discriminative ngram language model
Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... syntactic language models into aspeech recognizer. These methods have almost ex-clusively worked within the noisy channel paradigm,where the syntactic language model has the taskof modeling ... Jelinek. 2000. Structured language modeling. Computer Speech and Language, 14(4):283–332.Ciprian Chelba. 2000. Exploiting Syntactic Structure for Nat-ural Language Modeling. Ph.D. thesis, The ... pass on these firstpass lattices, allowing for better silence modeling,and replaces the trigram language model score witha 6-gram model. 1000-best lists were then extractedfrom these lattices....
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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
... probabilities (PPs), which combines acoustic model and language model scores after decoding.Based on the character PPs, we adapt the currentlexicon. The language model is then re-trained ac-cording ... probability mass. This can beamended by involving the discriminative language model adaptation in the iteration, which results ina unified language model and lexicon adaptationframework. This can ... words and also the buildingunits in the language model (LM). Lexical wordsoffer local constraints to combine phonemes intoshort chunks while the language model combinesphonemes into longer chunks...
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Tài liệu Báo cáo khoa học: "Large-Scale Syntactic Language Modeling with Treelets" docx
... that the n-gram language model used by the MTsystem was much smaller than the 5-GRAM model, as they wereonly trained on the English sides of their parallel data.fect language model might not ... UnitedStates were asked to compare translations using ourTREELET language model as the language model feature to those using the 5-GRAM model. 12We had1000 such translation pairs rated by 4 separate ... TREELET model, we alsoshow results for the following baselines:5-GRAM A 5-gram interpolated Kneser-Ney model. PCFG-LA The Berkeley Parser in language model mode.HEADLEX A head-lexicalized model...
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Tài liệu Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation" doc
... 5-gram/2-SLM+2-gram/4-SLM+5-gram/PLSA language model improves both signif-icantly. Bear in mind that Charniak et al. (2003) in-tegrated Charniak’s language model with the syntax-based translation model Yamada and ... Large language models in ma-chine translation. The 2007 Conference on EmpiricalMethods in Natural Language Processing (EMNLP),858-867.E. Charniak. 2001. Immediate-head parsing for language models. ... Dis-tributed language modeling for N-best list re-ranking.The 2006 Conference on Empirical Methods in Natu-ral Language Processing (EMNLP), 216-223.Y. Zhang, 2008. Structured language models for...
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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx
... 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 ... sequencemodels as language models.Modern phrase-based translation using large scalen-gram language models generally performs wellin terms of lexical choice, but still often producesungrammatical ... parsing for language modeling, but do notuse this language model in a translation system. Ourwork, in contrast to the above approaches, exploresthe use of incremental syntactic language models...
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Tài liệu Báo cáo khoa học: "The impact of language models and loss functions on repair disfluency detection" pptx
... f-score outperform state-of-the-art models re-709mary corpus for our model. The language model part of the noisy channel model already uses a bi-gram language model based on Switchboard, but inthe ... productive. Indeed the best per-forming model is the model which has all extendedfeatures and all language model features. The dif-ferences among the different language models whenextended features ... 19 other folds to construct a language model and then score the utterance in this fold with that language model. The largest widely-available corpus for language modelling is the Web 1T 5-gram...
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Tài liệu Báo cáo khoa học: "An Empirical Investigation of Discounting in Cross-Domain Language Models" ppt
... likelihoodof the test corpus under the train corpus language model (using basic Kneser-Ney) and the likelihoodof the test corpus under a jackknife language model from the test itself, which holds out ... 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 ... M-Gram Language Modeling. In Pro-ceedings of International Conference on Acoustics,Speech, and Signal Processing.Robert C. Moore and William Lewis. 2010. Intelligentselection of language model...
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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
... accurate language model. For the current study, all language models wereestimated from a one million sentence (210M char-acter) sample of the NY Times portion of the EnglishGigaword corpus. Models ... 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., speech recognition ... simple interfaces have yet to take full advan-tage of language models to ease or speed typing.In this demonstration, we will present a language- model enabled interface that is appropriate for themost...
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Tài liệu Báo cáo khoa học: "Smoothing a Tera-word Language Model" doc
... Goodman. 2001. A bit of progress in language modeling. Computer Speech and Language. R. Kneser and H. Ney. 1995. Improved backing-off form-gram language modeling. In International Confer-ence ... Bauman Peto. 1995. Ahierarchical Dirichlet language model. Natural Lan-guage Engineering, 1(3):1–19.Y.W. Teh. 2006. A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceed-ings ... sure the probabilities are normalized. Theinterpolated models always incorporate the lower or-der distribution Pr(c|b) whereas the back-off modelsconsider it only when the n-gram abc has not beenobserved...
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Tài liệu Báo cáo khoa học: "A Succinct N-gram Language Model" ppt
... -gram language models are com-pressed into 10 GB, which is comparable to a lossyrepresentation (Talbot and Brants, 2008).2 N -gram Language Model We assume a back-off N-gram language model ... language model structure and word iden-tifiers. In Proc. of ICASSP 2003, volume 1.A. Stolcke. 1998. Entropy-based pruning of backoff language models. In Proc. of the ARPA Workshopon Human Language ... representation withblock compression. N-gram language models of42.65GB were compressed to 18.37GB. Finally,the 8-bit quantized N -gram language models arerepresented by 9.83GB of space.Table...
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Tài liệu Báo cáo khoa học: "Improved Smoothing for N-gram Language Models Based on Ordinary Counts" doc
... 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. For some applications, ... Kneser-Ney andthose methods.1 IntroductionStatistical language models are potentially usefulfor any language technology task that producesnatural -language text as a final (or intermediate)output. ... 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. Technical...
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Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx
... statistical language modeling, and language identification. A typical LID system is illustrated in Figure 1 (Zissman, 1996), where language dependent voice tokenizers (VT) and lan-guage models ... Tokenization at different resolutions 2.2 n-gram Language Model With the sequence of tokens, we are able to es-timate an n-gram language model (LM) from the statistics. It is generally agreed ... the 1996 NIST Language Recognition Evaluation database. 1 Introduction Spoken language and written language are similar in many ways. Therefore, much of the research in spoken language identification,...
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Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
... Good-man, 1999). We used the SRI Language ModelingToolkit (Stolcke, 2002) for language model training.Our first set of classifiers consists of one n-gram language model per class c in the set of ... Statistical Language ModelsStatistical LMs predict the probability that a partic-ular word sequence will occur. The most commonlyused statistical language model is the n-gram model, which ... 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 pro-cessing...
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Tài liệu Báo cáo khoa học: "Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model " pptx
... efficient. 5 Experiments 5.1 Training Data for the Language Model We used the EDR Japanese Corpus Version 1.0 (EDR, 1991) to train the language model. It is a corpus of approximately 5.1 million ... dictionary. 3.2 Word Model for Unknown Words We defined a statistical word model to assign a rea- sonable word probability to an arbitrary substring in the input sentence. The word model is formally ... correction candidate is selected by the word segmentation algo- rithm using the OCR model and the language model. For simplicity, we will present the method as if it were for an isolated word...
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Tài liệu Báo cáo khoa học: "Generating statistical language models from interpretation grammars in dialogue systems" potx
... performance.3 Language modellingTo generate the different trigram language modelswe used the SRI language modelling toolkit (Stol-cke, 2002) with Good-Turing discounting.The first model was generated ... 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 PhilosophicalTransactions ... Statistical Language Modeling Using the CMU-CambridgeToolkit. In Proceedings of Eurospeech.Fosler-Lussier E. and Kuo H K. J. 2001. Using Se-mantic Class Information for Rapid Development of Language Models...
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- ngram language model for spoken language processing
- discriminative syntactic language modeling
- ngram language models based
- succinct ngram language model
- statistical ngram language models
- classbased ngram language models
- smoothing ngram language models
- ngram language model wiki
- ngram language model tutorial
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