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12

NLPRS
2001
Springer

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Automatic Segmentation of Words using Syllable Bigram Statistics

13 years 9 months ago

Automatic Segmentation of Words using Syllable Bigram Statistics

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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 for automatic word segmentation, word-spacing error detection, and the word-splitting problem of the character recognition system at the end of a line.

Seung-Shik Kang, Chong-Woo Woo

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Automatic Word Segmentation | Natural Language Processing | NLPRS 2001 | Syllable Bigram Model | Word-spacing Error |

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Added	30 Jul 2010
Updated	30 Jul 2010
Type	Conference
Year	2001
Where	NLPRS
Authors	Seung-Shik Kang, Chong-Woo Woo

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