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» Japanese Word Segmentation by Hidden Markov Model
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ISRR
2005
Springer
135views Robotics» more  ISRR 2005»
16 years 1 days ago
Mimetic Communication Theory for Humanoid Robots Interacting with Humans
d a human. The meta proto-symbols are a little more abstract analogy of the proto-symbols and recognize/generate the relationship of the two. A hypothesis is then proposed as the p...
Yoshihiko Nakamura, Wataru Takano, Katsu Yamane
NAACL
2010
15 years 4 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
INTERSPEECH
2010
15 years 1 months ago
Incremental word learning using large-margin discriminative training and variance floor estimation
We investigate incremental word learning in a Hidden Markov Model (HMM) framework suitable for human-robot interaction. In interactive learning, the tutoring time is a crucial fac...
Irene Ayllón Clemente, Martin Heckmann, Ale...
ICPR
2008
IEEE
16 years 7 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
NLE
2008
118views more  NLE 2008»
15 years 6 months ago
Part-of-speech tagging of Modern Hebrew text
Words in Semitic texts often consist of a concatenation of word segments, each corresponding to a Part-of-Speech (POS) category. Semitic words may be ambiguous with regard to thei...
Roy Bar-Haim, Khalil Sima'an, Yoad Winter