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» Improving Language Models by Clustering Training Sentences
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NIPS
2004
13 years 9 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...
NAACL
1994
13 years 9 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, ...
ACL
2006
13 years 9 months ago
Discriminative Word Alignment with Conditional Random Fields
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...
Phil Blunsom, Trevor Cohn
SIGIR
2010
ACM
13 years 11 months ago
Improving sentence retrieval with an importance prior
The retrieval of sentences is a core task within Information Retrieval. In this poster we employ a Language Model that incorporates a prior which encodes the importance of sentenc...
Leif Azzopardi, Ronald T. Fernández, David ...
CICLING
2008
Springer
13 years 9 months ago
Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
Abstract. Professional translators of technical documents often use Translation Memory (TM) systems in order to capitalize on the repetitions frequently observed in these documents...
Ergun Biçici, Marc Dymetman