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NAACL
1994
13 years 8 months ago
On Using Written Language Training Data for Spoken Language Modeling
We attemped to improve recognition accuracy by reducing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size...
Richard M. Schwartz, Long Nguyen, Francis Kubala, ...
NAACL
1994
13 years 8 months ago
Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
Ryosuke Isotani, Shoichi Matsunaga
ANLP
1994
80views more  ANLP 1994»
13 years 8 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
ACL
1997
13 years 8 months ago
Intonational Boundaries, Speech Repairs and Discourse Markers: Modeling Spoken Dialog
To understand a speaker’s turn of a conversation, one needs to segment it into intonational phrases, clean up any speech repairs that might have occurred, and identify discourse...
Peter A. Heeman, James F. Allen
AAAI
1997
13 years 8 months ago
Statistical Parsing with a Context-Free Grammar and Word Statistics
We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to possible parses for a sentence. This model is used in ...
Eugene Charniak
COLING
2000
13 years 8 months ago
A Dynamic Language Model Based on Individual Word Domains
We present a new statistical language model based on a Colnbination of individual word language models. Each word model is built from an individual corpus which is formed by extra...
Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith
NIPS
2004
13 years 8 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
CLIN
2001
13 years 8 months ago
Applying Monte Carlo Techniques to Language Identification
Two major stages stages in language identification systems can be identified: the language modeling stage, where the distinctive features of languages are determined and stored in...
Arjen Poutsma
EMNLP
2006
13 years 8 months ago
Statistical Ranking in Tactical Generation
In this paper we describe and evaluate several statistical models for the task of realization ranking, i.e. the problem of discriminating between competing surface realizations ge...
Erik Velldal, Stephan Oepen
ECIR
2006
Springer
13 years 8 months ago
Using Concept-Based Indexing to Improve Language Modeling Approach to Genomic IR
Genomic IR, characterized by its highly specific information need, severe synonym and polysemy problem, long term name and rapid growing literature size, is challenging IR communit...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu