Word Extraction from Corpora and Its Part-of-Speech Estimation Using Distributional Analysis

Unknown words are inevitable at any step of analysis in natural language processing. Wc propose a method to extract words from a corl)us and estimate the probability that each word belongs to given parts of speech (POSs), using a distributional analysis. Our experiments have shown that this method is etfective for inferring the POS of unknown words.

• Type: Conference
• Year: 1996
• Where: COLING
• Authors: Shinsuke Mori, Makoto Nagao
• Keywords: COLING 1996, COLING 2008, Distributional Analysis, Natural Language Processing, Unknown Words