unsupervised language model adaptation for meeting recognition

Ngày tải lên: 21/06/2014, 20:20

Ngày tải lên: 22/06/2014, 00:20

... Vogel. 2006. Distributed Language Modeling for N-best List Re-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. Here we focus on how to adapt a translation model, which is 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 to be efficiently transferred across languages, to cross- lingual language modeling and translation lexicon adaptation. ...

Ngày tải lên: 19/02/2014, 19:20

... USA. Association for Computational Linguistics. Bing Zhao, Matthias Eck, and Stephan Vogel. 2004. Language model adaptation for statistical machine translation with structured query models. In Proceed- ings ... parameter estimation. Computational Linguistics, 19:263–311. Woosung Kim. 2005. Language Model Adaptation for Automatic Speech Recognition and Statistical Machine Translation. Ph.D. thesis, The Johns ... Annual Meeting of the Association for Computational Linguistics:shortpapers, pages 445–449, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics On-line Language Model...

Ngày tải lên: 17/03/2014, 00:20

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Ngày tải lên: 31/03/2014, 03:20

... 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 ... 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 ... 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...

Ngày tải lên: 08/03/2014, 07:20

Ngày tải lên: 21/06/2014, 08:20

... 115–119, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Topic Models for Dynamic Translation Model Adaptation Vladimir Eidelman Computer Science and UMIACS University ... for the source it came 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 training 1 Language model adaptation ... topic-specific contexts, where topics are induced in an unsupervised way using topic models; this can be thought of as inducing subcorpora for adaptation with- out any human annotation. We use these...

Ngày tải lên: 19/02/2014, 19:20

... Syntax- based language models for statistical machine transla- tion. MT Summit IX., Intl. Assoc. for Machine Trans- lation. C. Chelba and F. Jelinek. 1998. Exploiting syntactic structure for language modeling. ... 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 statisti- cal ... n-gram/m- SLM/PLSA language model. The composite n-gram/m-SLM/PLSA lan- guage model can be formulated as a directed MRF model (Wang et al., 2006) with lo- cal normalization constraints for the param- eters...

Ngày tải lên: 20/02/2014, 04:20

... can be amended by involving the discriminative language model adaptation in the iteration, which results in a unified language model and lexicon adaptation framework. This can be our future work. ... beginning we are given an adaptation spoken corpus and manual transcriptions. Based on a base- line lexicon (Lex 0 ) and a language model (LM 0 ) we perform ASR on the adaptation corpus and con- struct ... motivated by previous language model adaptation works (Fed- erico, 1999) which usually try to introduce new ev- idences in the adaptation corpus but with the least modification of the original model. Of course...

Ngày tải lên: 20/02/2014, 07:20

... syntactic language model has the task of 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 ... comparing against then performed a rescoring pass on these first pass lattices, allowing for better silence modeling, and replaces the trigram language model score with a 6-gram model. 1000-best lists ... Previous Work Techniques for exploiting stochastic context-free grammars for language modeling have been ex- plored for more than a decade. Early approaches included algorithms for efficiently calculating...

Ngày tải lên: 20/02/2014, 15:20

... June 2005. c 2005 Association for Computational Linguistics A Phonotactic Language Model for Spoken Language Identification Haizhou Li and Bin Ma Institute for Infocomm Research Singapore ... 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, ... in the formalism mentioned above: tokenization, statistical language modeling, and language identification. A typical LID system is illustrated in Figure 1 (Zissman, 1996), where language...

Ngày tải lên: 20/02/2014, 15:20

... also ensures that the language resembles present-day spoken French. • The target population for our formula is young people and adults. Therefore, only textbooks intended for this public were ... a statistical language model and a measure of tense difficulty. 4.1 The language model The lexical difficulty of a text is quite an elaborate phenomenon to parameterise. The logistic regres- sion models ... for every learner is far from easy. In this context, automatic procedures can support the teacher’s work. Some tools exist for English, but at present there are none for French as a foreign language (FFL)....

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Ngày tải lên: 26/01/2014, 07:20