The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Outstanding Reviewers

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • ICONS_BA 2025

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • RSS Feed

DOI: 10.14569/IJACSA.2015.060606
PDF

Towards GP Sentence Parsing of V+P+CP/NP Structure

Author 1: Du Jiali
Author 2: Yu Pingfang

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 6, 2015.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Computational linguistics can provide an effective perspective to explain the partial ambiguity during machine translation. The structure of V+Pron+CP/NP has the ambiguous potential to bring Garden Path effect. If Tell+Pron+NP structure has considerable higher observed frequencies than Tell+Pron+CP structure, the former is regarded as the preferred structure and has much lower confusion quotient. It is possible for the grammatical unpreferred Tell+Pron+CP structure to replace the ungrammatical preferred Tell+Pron+NP, which results in the processing breakdown. The syntactic details of GP processing can be presented by the computational technologies. Computational linguistics is proved to be effective to explore the Garden Path phenomenon.

Keywords: artificial intelligence; computational linguistics; machine learning; local ambiguity; garden path sentences

Du Jiali and Yu Pingfang. “Towards GP Sentence Parsing of V+P+CP/NP Structure”. International Journal of Advanced Computer Science and Applications (IJACSA) 6.6 (2015). http://dx.doi.org/10.14569/IJACSA.2015.060606

@article{Jiali2015,
title = {Towards GP Sentence Parsing of V+P+CP/NP Structure},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060606},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060606},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {6},
author = {Du Jiali and Yu Pingfang}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

Computer Vision Conference (CVC) 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

Artificial Intelligence Conference 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computer Vision Conference
  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.