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IAJIT
2011
14 years 11 months ago
A Markovian approach for arabic root extraction
In this paper, we present an Arabic morphological analysis system that assigns, for each word of an unvoweled Arabic sentence, a unique root depending on the context. The proposed...
Abderrahim Boudlal, Mohamed Ould Abdallahi Ould Be...
ACL
1997
15 years 5 months ago
A Structured Language Model
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
Ciprian Chelba
COLING
2008
15 years 5 months ago
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Tim Miller, William Schuler
ICPR
2010
IEEE
15 years 4 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
AUSAI
2003
Springer
15 years 8 months ago
Token Identification Using HMM and PPM Models
Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
Yingying Wen, Ian H. Witten, Dianhui Wang