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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
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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.

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