Биграммная модель

method ID: bigrammodel

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Publication: TIPSTER (1990)

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SRI and U.C. Berkeley have begun a cooper- ative effort to develop a new architecture for real-time implementation of spoken language systems (SLS). Our goal is to develop fast speech …...

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Learning a syntagmatic and paradigmatic structure from language data with a bi-multigram model

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Publication: TIPSTER (1998)

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In this paper, we present a stochastic language mod- eling tool which aims at retrieving variable-length phrases (multigrams), assuming bigram dependen- cies between them. The phrase retrieval can be in- …...

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A Large-Vocabulary Bilingual Speech Recognition System for Chinese and Japanese Language

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Bilingual or Multilingual speech recognition gradually becomes an attractive research topic because bilingual writings appear almost everywhere in present day. In this paper, we propose a continuous word-based speech recognition …...

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Applying Meaningful Word-Pair Identifier to the Chinese Syllable-to-Word Conversion Problem

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. Syllable-to-word (STW) conversion is a frequently used Chinese input method that is fundamental to syllable/speech understanding. The two major problems with STW conversion are the segmentation of syllable input …...

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Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French

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Improving Word Segmentation by Simultaneously Learning Phonotactics

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Publication: TIPSTER (2008)

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The most accurate unsupervised word seg- mentation systems that are currently avail- able (Brent, 1999; Venkataraman, 2001; Goldwater, 2007) use a simple unigram model of phonotactics. While this sim- plifies …...

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Approximate search algorithms, such as cube pruning in syntactic machine translation, rely on the language model to estimate probabili- ties of sentence fragments. We contribute two changes that trade between …...

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On the Use of Speech Recognition Techniques to Identify Bird Species

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Statistical Analysis of Multilingual Text Corpus and Development of Language Models

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