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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Maximum Entropy Language Modeling with Non-Local and Syntactic Dependencies Jun Wu; Advisor Dr. Sanjeev Khudanpur In: http://www.cs.jhu.edu/~junwu/gbo.ps (2002) BASE Show details 2 Smoothing Issues in the Structured Language Model Woosung Kim; Sanjeev Khudanpur; Jun Wu In: http://cs.jhu.edu/~junwu/eurospeech01.ps (2001) BASE Show details 3 Smoothing Issues in the Structured Language Mode Woosung Kim; Sanjeev Khudanpur; Jun Wu In: http://www.clsp.jhu.edu/~woosung/pdf/euro01.pdf (2001) BASE Show details 4 Syntactic Heads In Statistical Language Modeling Jun Wu; Sanjeev Khudanpur In: http://www.cs.jhu.edu/~junwu/icassp2000.ps (2000) BASE Show details 5 Combining Nonlocal, Syntactic And N-Gram Dependencies In Language Modeling Jun Wu; Sanjeev Khudanpur In: http://www.cs.jhu.edu/~junwu/eurospeech.ps (1999) BASE Show details 6 A Maximum Entropy Language Model Integrating N-Grams And Topic Dependencies For Conversational Speech Recognition Sanjeev Khudanpur; Jun Wu In: http://www.cs.jhu.edu/~junwu/topic-lm.ps (1999) BASE Show details 7 A maximum entropy language model integrating ngrams and topic dependencies for conversational speech reconition Sanjeev Khudanpur; Jun Wu In: http://www.mirlab.org/conference_papers/International_Conference/ICASSP 1999/PDF/AUTHOR/IC992192.PDF (1999) BASE Show details 8 A Maximum Entropy Language Model with Topic Sensitive Features Jun Wu; Advisors Dr; Sanjeev Khudanpur... In: http://www.cs.jhu.edu/~junwu/memodel.ps (1998) BASE Show details 9 Building A Topic-Dependent Maximum Entropy Model For Very Large Corpora Jun Wu; Sanjeev Khudanpur In: http://www.cs.jhu.edu/~junwu/icassp02.ps (1217) BASE Show details 10 Maximum Entropy Techniques for Exploiting Syntactic, Semantic and Collocational Dependencies in Language Modeling Sanjeev Khudanpur; Jun Wu In: http://www.cs.jhu.edu/~junwu/cslpaper.ps Abstract: A new statistical language model is presented which combines collocational dependencies with two important sources of long-range statistical dependence: the syntactic structure and the topic of a sentence. These dependencies or constraints are integrated using the maximum entropy technique. Substantial improvements are demonstrated over a trigram model in both perplexity and speech recognition accuracy on the Switchboard task. A detailed analysis of the performance of this language model is provided in order to characterize the manner in which it performs better than a standard N-gram model. It is shown that topic dependencies are most useful in predicting words which are semantically related by the subject matter of the conversation. Syntactic dependencies on the other hand are found to be most helpful in positions where the best predictors of the following word are not within N-gram range due to an intervening phrase or clause. It is also shown that these two methods ind. URL: http://www.cs.jhu.edu/~junwu/cslpaper.ps http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.8552 BASE Hide details

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