A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
Natural Language Modeling for Phoneme-to-Text Transcription
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cache-Based Natural Language Model for Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmenting discrete data representing continuous speech input
IBM Systems Journal
A statistical approach to machine translation
Computational Linguistics
Self-organized language modeling for speech recognition
Readings in speech recognition
A dynamic language model for speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Deducing linguistic structure from the statistics of large corpora
HLT '90 Proceedings of the workshop on Speech and Natural Language
Poor estimates of context are worse than none
HLT '90 Proceedings of the workshop on Speech and Natural Language
Towards a theory of cognition and computing
Towards a theory of cognition and computing
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Elements of information theory
Elements of information theory
Class-based n-gram models of natural language
Computational Linguistics
Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Improving statistical language model performance with automatically generated word hierarchies
Computational Linguistics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Does Baum-Welch re-estimation help taggers?
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Part-of-speech induction from scratch
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Probabilistic tree-adjoining grammar as a framework for statistical natural language processing
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Adaptive language modeling using the maximum entropy principle
HLT '93 Proceedings of the workshop on Human Language Technology
Quantifying identifier quality: an analysis of trends
Empirical Software Engineering
Extracting learning concepts from educational texts in intelligent tutoring systems automatically
Expert Systems with Applications: An International Journal
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We present a review of some recently developed techniques in the fieldof natural language processing. This area has witnessed a confluence ofapproaches which are inspired by theories from linguistics and thosewhich are inspired by theories from information theory: statisticallanguage models are becoming more linguistically sophisticated and themodels of language used by linguists are incorporating stochastictechniques to help resolve ambiguities. We include a discussion aboutthe underlying similarities between some of these systems and mentiontwo approaches to the evaluation of statistical language processingsystems.