Whole sentence maximum entropy models directly model the probability of a sentence using features. – arbitrary computable properties of the sentence.
Linguistic features for whole sentence maximum entropy language models · Xiaojin Zhu, Stanley F. Chen, Ronald Rosenfeld · Published in EUROSPEECH 5 September 1999 ...
Linguistic Features for Whole Sentence Maximum Entropy Language Models · History · Publisher Statement · Date · Usage metrics · Categories · Keywords · Licence.
Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features ... Linguistics, pages 10–17, Toulouse, France. Association for ...
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Linguistic features for whole-sentence maximum entropy language models. Proceedings of the European Conference on Speech Communication and Technology ...
Linguistic Features for Whole Sentence Maximum Entropy Language Models · Linguistics, Computer Science · 1999.
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We discuss the problems of sentence boundary detection, part-of-speech tagging, prepositional phrase attachment, natural language parsing, and text ...
"Efficient sampling and feature selection in whole sentence maximum entropy language models." Acoustics, Speech, and Signal Processing, 1999. Proceedings ...
In the present work, in order to augment the n-gram model with grammatical features, we apply the Whole Sentence Maximum Entropy framework. The grammatical ...