Chunked N-Grams for Sentence Validation

被引：1

作者：

Jain, Kush ^{[1
]}

Khatri, Priya ^{[1
]}

Indolia, Garima ^{[1
]}

机构：

[1] Maharaja Surajmal Inst Technol, Janakpuri 110058, Delhi, India

来源：

3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015) | 2015年 / 57卷

关键词：

Natural Language Processing (NLP); n-grams; Sentence Validation; Chunking;

D O I：

10.1016/j.procs.2015.07.433

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper deals with Sentence Validation - a sub-field of Natural Language Processing. Sentence Validation refers to verification of "Natural Language" sentence on basis of its syntax and semantics. Sentence Validation is usually carried either via Statistical Means (n-grams) or by Semantic Means (by constructing some kind of Knowledge graph). We have tried to integrate the two approaches. Instead of directly using statistical methods, our sentences under-went semantic pre-processing before applying standard Statistical Means. The results for direct Statistical approach is compared with semantically pre-processed statistical approach. (C) 2015 Published by Elsevier B.V.

引用

页码：209 / 213

页数：5

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