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CIARP
2009
Springer
13 years 4 months ago
Incorporating Linguistic Information to Statistical Word-Level Alignment
Abstract. Parallel texts are enriched by alignment algorithms, thus establishing a relationship between the structures of the implied languages. Depending on the alignment level, t...
Eduardo Cendejas, Grettel Barceló, Alexande...
ICASSP
2011
IEEE
12 years 10 months ago
Enriching Mandarin speech recognition by incorporating a hierarchical prosody model
This paper presents a new probabilistic framework of Mandarin speech recognition by incorporating a sophisticated hierarchical prosody model into the conventional HMM-based system...
Jyh-Her Yang, Ming-Chieh Liu, Hao-Hsiang Chang, Ch...
ACL
1998
13 years 7 months ago
Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling?
It seems obvious that a successful model of natural language would incorporate a great deal of both linguistic and world knowledge. Interestingly, state of the art language models...
Eric Brill, Radu Florian, John C. Henderson, Lidia...
ACL
2010
13 years 4 months ago
Domain Adaptation of Maximum Entropy Language Models
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Tanel Alumäe, Mikko Kurimo
ICDAR
2007
IEEE
14 years 21 days ago
Online Handwritten Japanese Character String Recognition Incorporating Geometric Context
This paper describes an online handwritten Japanese character string recognition system integrating scores of geometric context, character recognition, and linguistic context. We ...
X.-D. Zhou, J.-L. Yu, C.-L. Liu, Takeshi Nagasaki,...