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ACL
1998
13 years 6 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao
CICLING
2009
Springer
14 years 5 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
NAACL
1994
13 years 6 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
ICTIR
2009
Springer
13 years 3 months ago
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Intuitively, any `bag of words' approach in IR should benefit from taking term dependencies into account. Unfortunately, for years the results of exploiting such dependencies ...
Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Hu...
ACL
2008
13 years 6 months ago
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Jakob Uszkoreit, Thorsten Brants