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» A hierarchical model for syllable recognition
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ACL
2003
13 years 6 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
NLPRS
2001
Springer
13 years 9 months ago
Automatic Segmentation of Words using Syllable Bigram Statistics
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...
Seung-Shik Kang, Chong-Woo Woo
ICASSP
2010
IEEE
13 years 5 months ago
Investigations into prosodic syllable contour features for speaker recognition
We investigate various ways of generating prosodic syllable contour features that have recently been applied to enhance systems for speaker recognition. We compare different appro...
Marcel Kockmann, Lukas Burget, Jan Cernocký
MLMI
2007
Springer
13 years 11 months ago
Using Prosodic Features in Language Models for Meetings
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
Songfang Huang, Steve Renals
ICASSP
2011
IEEE
12 years 8 months ago
Using morpheme and syllable based sub-words for polish LVCSR
Polish is a synthetic language with a high morpheme-perword ratio. It makes use of a high degree of inflection leading to high out-of-vocabulary (OOV) rates, and high Language Mo...
M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schl...