Efficient Deep Processing of Japanese
Computation and Language
2007-05-23 v1
Abstract
We present a broad coverage Japanese grammar written in the HPSG formalism with MRS semantics. The grammar is created for use in real world applications, such that robustness and performance issues play an important role. It is connected to a POS tagging and word segmentation tool. This grammar is being developed in a multilingual context, requiring MRS structures that are easily comparable across languages.
Keywords
Cite
@article{arxiv.cs/0207005,
title = {Efficient Deep Processing of Japanese},
author = {Melanie Siegel and Emily M. Bender},
journal= {arXiv preprint arXiv:cs/0207005},
year = {2007}
}
Comments
Proceedings of the 19th International Conference on Computational Linguistics