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ICDAR
2007
IEEE
14 years 2 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
ICPR
2010
IEEE
13 years 6 months ago
Word Clustering Using PLSA Enhanced with Long Distance Bigrams
Probabilistic latent semantic analysis is enhanced with long distance bigram models in order to improve word clustering. The long distance bigram probabilities and the interpolate...
Nikoletta Bassiou, Constantine Kotropoulos
ACL
1998
13 years 10 months ago
Context Management with Topics for Spoken Dialogue Systems
In this paper we discuss the use of discourse context in spoken dialogue systems and argue that the knowledge of the domain, modelled with the help of dialogue topics is important...
Kristiina Jokinen, Hideki Tanaka
INTERSPEECH
2010
13 years 3 months ago
Prominence detection in Swedish using syllable correlates
This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word ...
Samer Al Moubayed, Jonas Beskow
NIPS
2000
13 years 10 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...