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 extracted words from texts and estimated their POSs using distributional analysis.
Word Extraction From Corpora And Its Part-Of-Speech Estimation Using Distributional Analysis
International Conference On Computational Linguistics
Computer Science