Abstract
The aim of this paper is to propose a Japanese morphological error measure in order to automatically detect morphological errors when analyzing. In particular, we focused on three similarities as the measure and experimented using them. From our experimental results, it was found that the precision of one of measures was 74% and it functioned well.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kurosawa, Y., Sakamoto, Y., Ichimura, T., Aizawa, T. (2005). An Error Measure for Japanese Morphological Analysis Using Similarity Measures. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_126
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DOI: https://doi.org/10.1007/11552413_126
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28894-7
Online ISBN: 978-3-540-31983-2
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