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.
REF proposed a method for extracting new words from a large amount of raw text.
Word Extraction From Corpora And Its Part-Of-Speech Estimation Using Distributional Analysis
International Conference On Computational Linguistics
Computer Science