TY - GEN
T1 - Co-occurrence-based error correction approach to word segmentation
AU - Chaowicharat, Ekawat
AU - Naruedomkul, Kanlaya
PY - 2011
Y1 - 2011
N2 - To overcome the problems in Thai word segmentation, a number of word segmentation has been proposed during the long period of time until today. We propose a novel Thai word segmentation approach so called Co-occurrence-Based Error Correction (CBEC). CBEC generates all possible segmentation candidates using the classical maximal matching algorithm and then selects the most accurate segmentation based on co-occurrence and an error correction algorithm. CBEC was trained and evaluated on BEST 2009 corpus.
AB - To overcome the problems in Thai word segmentation, a number of word segmentation has been proposed during the long period of time until today. We propose a novel Thai word segmentation approach so called Co-occurrence-Based Error Correction (CBEC). CBEC generates all possible segmentation candidates using the classical maximal matching algorithm and then selects the most accurate segmentation based on co-occurrence and an error correction algorithm. CBEC was trained and evaluated on BEST 2009 corpus.
UR - https://www.scopus.com/pages/publications/80052394809
M3 - Conference contribution
AN - SCOPUS:80052394809
SN - 9781577355014
T3 - Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24
SP - 240
EP - 244
BT - Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24
PB - AAAI press
T2 - 24th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2011
Y2 - 18 May 2011 through 20 May 2011
ER -