@InProceedings{tolmachev-kawahara-kurohashi:2018:Demos,
  author    = {Tolmachev, Arseny  and  Kawahara, Daisuke  and  Kurohashi, Sadao},
  title     = {Juman++: A Morphological Analysis Toolkit for Scriptio Continua},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {54--59},
  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.},
  url       = {http://www.aclweb.org/anthology/D18-2010}
}