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» Language Modeling Using PLSA-Based Topic HMM
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LREC
2010
148views Education» more  LREC 2010»
13 years 9 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
ICASSP
2008
IEEE
14 years 2 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
INTERSPEECH
2010
13 years 2 months ago
Topic and style-adapted language modeling for Thai broadcast news ASR
The amount of available Thai broadcast news transcribed text for training a language model is still very limited, comparing to other major languages. Since the construction of a b...
Markpong Jongtaveesataporn, Sadaoki Furui
NAACL
2003
13 years 9 months ago
Semantic Language Models for Topic Detection and Tracking
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Ramesh Nallapati
EMNLP
2009
13 years 5 months ago
Polylingual Topic Models
Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...