unsupervised language model adaptation for lecture speech recognition
Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
... smoothing techniques for language model- ing. Computer Speech and Language, 13:359–394.Joshua T. Goodman. 2001. A bit of progress in lan-guage modeling. Computer Speech and Language, 15:403–434.Slava ... rates [%].ture models, whereas the best in-domain modelsare 4- or 5-grams. For every language and model size, the webmixture model performs better than the corre-sponding in-domain model. The ... data wereselected for each language. The adaptation wasthought to take place off-line on a server.3.2.1 Data sets For each language, the adaptation takes place ontwo baseline models, which are...
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Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
... an information retrieval task. In future work, we will examine the ability of grounded language models to improve perform-ance for other natural language tasks that exploit text based language ... error rates for ASR sys-tems using a grounded language model, a text based language model trained on the switchboard corpus, and the switchboard model interpolated with a text based model trained ... perplexity seen when using the grounded language model compared to the in-terpolated model. Note that these two language models are generated using the same speech tran-scriptions, i.e. the closed...
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Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc
... Vogel.2006. Distributed Language Modeling for N-best ListRe-ranking. In Proc. of EMNLP 2006, pages 216-223.Bing Zhao, Matthias Eck and Stephan Vogel. 2004. Language Model Adaptation for Statistical ... translation mod-el adaptation and language model adaptation. Herewe focus on how to adapt a translation model, whichis trained from the large-scale out-of-domain bilin-gual corpus, for domain-specific ... enforces one-to-one topic corre-spondence and enables latent topic distributions tobe efficiently transferred across languages, to cross-lingual language modeling and translation lexicon adaptation. ...
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Báo cáo khoa học: "On-line Language Model Biasing for Statistical Machine Translation" docx
... parameterestimation. Computational Linguistics, 19:263–311.Woosung Kim. 2005. Language Model Adaptation for Automatic Speech Recognition and Statistical MachineTranslation. Ph.D. thesis, The Johns ... USA. Association for Computational Linguistics.Bing Zhao, Matthias Eck, and Stephan Vogel. 2004. Language model adaptation for statistical machinetranslation with structured query models. In Proceed-ings ... Association for Computational Linguistics:shortpapers, pages 445–449,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsOn-line Language Model Biasing for Statistical...
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Báo cáo khoa học: "Algorithm Selection and Model Adaptation for ESL Correction Tasks" doc
... However, for the model to use these language- specific error statistics, a separate classi-fier for each source language needs to be trained.We propose a novel adaptation method, whichshows performance ... comparing systems devel-oped for ESL correction tasks. A language model was found to outperform a maximum entropy classi-fier (Gamon, 2010). However, the language model was trained on the Gigaword ... Perceptron is the best performing model (Sec. 3). Our results do not support earlier conclu-sions with respect to the performance of count-basedmodels (Bergsma et al., 2009) and language mod-els (Gamon,...
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Báo cáo khoa học: "Alignment Model Adaptation for Domain-Specific Word Alignment" pptx
... improve the alignment for general words and use the in-domain bilingual corpus for domain-specific words. We implement this by using alignment model adaptation. Although the adaptation technology ... trained models. In other words, we make use of the out-of-domain training data and the in-domain training data by interpolating the trained alignment models. One method to perform model adaptation ... is the distortion probability in model 3, and the other is the distortion probability in model 4. The interpolation model for the distortion probability in model 3 is shown in (10). Since the...
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Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
... signal preprocessor is included to form a complete speech recognition system. The language processor consists of a language model and a parser. The language model properly integrates the unification ... Markov language model, and a simple set of unification grammar rules for the Chinese language, although the present model is in fact language independent. The system is written in C language ... summarized. The Laneua~e Model The goal of the language model is to participate in the selection of candidate constituents for a sentence to be identified. The proposed language model is composed...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... syntactic language model has the taskof modeling a distribution over strings in the lan-guage, in a very similar way to traditional n-gram language models. The Structured Language Model (Chelba ... 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 ... Previous WorkTechniques for exploiting stochastic context-freegrammars for language modeling have been ex-plored for more than a decade. Early approachesincluded algorithms for efficiently calculating...
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Báo cáo khoa học: "AN AUTOMATIC SPEECH RECOGNITION SYSTEM FOR ITALIAN LANGUAGE" doc
... phoneme models, we can build models for words, or for word strings, simply by concatenating the Markov sources of the corresponding phonemes. Figure 1 shows a typical structure for Markov model ... ABSTRACT 4. An automatic speech recognition system for Italian language has been developed at IBM Italy Scientific Center in Rome. It is able to recognize in real time natural language sentences, ... the Markov model for a word. The structure of Markov models is completely defined by the number of states and by interconneetions among them. It is unique for all the phonemes and for all the...
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Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
... 115–119,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsTopic Models for Dynamic Translation Model Adaptation Vladimir EidelmanComputer Scienceand UMIACSUniversity ... for the source itcame from, many word pairs will be unobserved for a given table. This sparsity requires smoothing. Sec-ond, we may not know the (sub)corpora our training1 Language model adaptation ... topic-specific contexts, wheretopics are induced in an unsupervised wayusing topic models; this can be thought ofas inducing subcorpora for adaptation with-out any human annotation. We use these...
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