unsupervised language model adaptation for meeting recognition
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
... 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 ... parameterestimation. Computational Linguistics, 19:263–311.Woosung Kim. 2005. Language Model Adaptation for Automatic Speech Recognition and Statistical MachineTranslation. Ph.D. thesis, The Johns ... Annual Meeting of the Association for Computational Linguistics:shortpapers, pages 445–449,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsOn-line Language Model...
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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
... 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...
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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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Tài liệu Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation" doc
... 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 syntacticstructure 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 directedMRF model (Wang et al., 2006) with lo-cal normalization constraints for the param-eters...
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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
... can beamended by involving the discriminative language model adaptation in the iteration, which results ina unified language model and lexicon adaptation framework. This can be our future work. ... beginning we are given an adaptation spokencorpus and manual transcriptions. Based on a base-line lexicon (Lex0) and a language model (LM0)we perform ASR on the adaptation corpus and con-struct ... motivatedby previous language model adaptation works (Fed-erico, 1999) which usually try to introduce new ev-idences in the adaptation corpus but with the leastmodification of the original model. Of course...
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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 ... comparingagainst then performed a rescoring pass on these firstpass lattices, allowing for better silence modeling,and replaces the trigram language model score witha 6-gram model. 1000-best lists ... 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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Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx
... June 2005.c2005 Association for Computational LinguisticsA 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...
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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
... also ensures thatthe language resembles present-day spokenFrench.• The target population for our formula isyoung people and adults. Therefore, onlytextbooks intended for this public were ... astatistical language model and a measure of tensedifficulty.4.1 The language model The lexical difficulty of a text is quite an elaboratephenomenon to parameterise. The logistic regres-sion models ... for every learner is far fromeasy. In this context, automatic procedurescan support the teacher’s work. Sometools exist for English, but at present thereare none for French as a foreign language (FFL)....
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- a structured language model
- combining a statistical language model
- ngram language model for spoken language processing
- unsupervised language model adaptation
- unsupervised language model adaptation incorporating named entity information
- syntactic discriminative language model rerankers for statistical machine translation
- discriminative syntactic language modeling for speech recognition
- factored language model for statistical machine translation
- recurrent neural network based language modeling in meeting recognition
Tìm thêm: xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn tiến hành xây dựng chương trình đào tạo dành cho đối tượng không chuyên ngữ tại việt nam điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát các chương trình đào tạo theo những bộ giáo trình tiêu biểu nội dung cụ thể cho từng kĩ năng ở từng cấp độ xác định mức độ đáp ứng về văn hoá và chuyên môn trong ct mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn các đặc tính của động cơ điện không đồng bộ hệ số công suất cosp fi p2 đặc tuyến hiệu suất h fi p2 đặc tuyến mômen quay m fi p2 đặc tuyến tốc độ rôto n fi p2 đặc tuyến dòng điện stato i1 fi p2 sự cần thiết phải đầu tư xây dựng nhà máy thông tin liên lạc và các dịch vụ phần 3 giới thiệu nguyên liệu chỉ tiêu chất lượng 9 tr 25