• Publications
  • Influence
Incremental Parsing with the Perceptron Algorithm
This paper describes an incremental parsing approach where parameters are estimated using a variant of the perceptron algorithm. A beam-search algorithm is used during both training and decodingExpand
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Spoken Language Derived Measures for Detecting Mild Cognitive Impairment
Spoken responses produced by subjects during neuropsychological exams can provide diagnostic markers beyond exam performance. In particular, characteristics of the spoken language itself canExpand
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Probabilistic Top-Down Parsing and Language Modeling
  • B. Roark
  • Computer Science
  • Computational Linguistics
  • 8 May 2001
This paper describes the functioning of a broad-coverage probabilistic top-down parser, and its application to the problem of language modeling for speech recognition. The paper first introduces keyExpand
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Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a method based onExpand
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Deriving lexical and syntactic expectation-based measures for psycholinguistic modeling via incremental top-down parsing
A number of recent publications have made use of the incremental output of stochastic parsers to derive measures of high utility for psycholinguistic modeling, following the work of Hale (2001; 2003;Expand
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Unsupervised language model adaptation
This paper investigates unsupervised language model adaptation, from ASR transcripts. N-gram counts from these transcripts can be used either to adapt an existing n-gram model or to build an n-gramExpand
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Generalized Algorithms for Constructing Statistical Language Models
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in detail several newExpand
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Noun-Phrase Co-Occurence Statistics for Semi-Automatic Semantic Lexicon Construction
Generating semantic lexicons semi-automatically could be a great time saver, relative to creating them by hand. In this paper, we present an algorithm for extracting potential entries for a categoryExpand
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Discriminative Syntactic Language Modeling for Speech Recognition
We describe a method for discriminative training of a language model that makes use of syntactic features. We follow a reranking approach, where a baseline recogniser is used to produce 1000-bestExpand
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Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a method based onExpand
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