24 search results - page 1 / 5 » Automatic Segmentation of Words using Syllable Bigram Statis... |
NLPRS
2001
Springer
13 years 9 months ago
2001
Springer
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 ...
ACL
2006
13 years 6 months ago
2006
This paper presents a word support model (WSM). The WSM can effectively perform homophone selection and syllable-word segmentation to improve Chinese input systems. The experiment...
CORR
2002
Springer
13 years 4 months ago
2002
Springer
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
NAACL
2007
13 years 6 months ago
2007
This paper describes a new grapheme-tophoneme framework, based on a combination of formal linguistic and statistical methods. A context-free grammar is used to parse words into th...
ACL
2003
13 years 6 months ago
2003
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...