Juman++: A Morphological Analysis Toolkit for Scriptio Continua

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Authors Daisuke Kawahara, Arseny Tolmachev, Sadao Kurohashi
Journal/Conference Name EMNLP 2018 11
Paper Category
Paper Abstract We present a three-part toolkit for developing morphological analyzers for languages without natural word boundaries. The first part is a C++11/14 lattice-based morphological analysis library that uses a combination of linear and recurrent neural net language models for analysis. The other parts are a tool for exposing problems in the trained model and a partial annotation tool. Our morphological analyzer of Japanese achieves new SOTA on Jumandic-based corpora while being 250 times faster than the previous one. We also perform a small experiment and quantitive analysis and experience of using development tools. All components of the toolkit is open source and available under a permissive Apache 2 License.
Date of publication 2018
Code Programming Language C++

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