Japanese Morphological Analyzer

We present a novel method for segmenting the input sentence into words and assigning parts of speech to the words. It consists of a statistical language model and an efficient …...

This paper presents a method to apply Hidden Markov Model (HMM) to parameter learning for Japanese morphological analyzer. We especially emphasize how the following two information sources affect the results …...

We developed a Japanese morphological analyzer that uses the co-occurrence of words to select the correct sequence of words in an unsegmented Japanese sentence. The co-occurrence information can be obtained …...