Sentences generation by frequent parsing patterns

Authors:
Takashi Yanagisawa;Takao Miura;Isamu Shioya
Affiliations:
HOSEI University, Dept. of Elect. & Elect. Engr., Tokyo, Japan;HOSEI University, Dept. of Elect. & Elect. Engr., Tokyo, Japan;SANNO University, Dept.of Informatics, Isehara, Kanagawa, Japan
Venue:
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Year:
2010

Citing 2
Cited 1

A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures

Computational Linguistics
A paraphrase-based exploration of cohesiveness criteria

EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8

Context-based query using dependency structures based on latent topic model

MEDI'12 Proceedings of the 2nd international conference on Model and Data Engineering

Quantified Score

Hi-index	0.01

Visualization

Abstract

We propose a sophisticated approach to generate sentences from syntax trees. Users are assumed to give their intent in text or equivalent ones (such as syntax trees). Here we generate standard sentences by examining how the syntax structure consist of frequent structures and how they are constructed. We examine corpus in some domains to extract elementary syntax structures appeared in the corpus as well as standard sentences using the trees.