Efficient Deep Processing of Japanese

TL;DR

This paper introduces a comprehensive Japanese grammar based on HPSG formalism with MRS semantics, optimized for real-world applications and multilingual comparability.

Contribution

It presents a broad-coverage Japanese grammar integrated with POS tagging and segmentation, emphasizing robustness, performance, and cross-linguistic comparability.

Findings

Grammar supports real-world NLP tasks

Connected to POS tagging and segmentation tools

Designed for multilingual applications

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.