Abstract
An NLP tool is practical when it is fast in addition to having high accuracy. We describe the architecture and the used methods to achieve 250× analysis speed improvement on the Juman++ morphological analyzer together with slight accuracy improvements. This information should be useful for implementors of high-performance NLP and machine-learning based software.
Cite
CITATION STYLE
APA
Tolmachev, A., Kawahara, D., & Kurohashi, S. (2020). Design and Structure of The Juman++ Morphological Analyzer Toolkit. Journal of Natural Language Processing, 27(1), 89–132. https://doi.org/10.5715/jnlp.27.89
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