Comparative Study on "Sentence Rewriting for Semantic Parsing" and "Graph-Based Translation Via Graph Segmentation"

Ying Tian

doi:10.1088/1742-6596/1852/4/042021

Comparative Study on "Sentence Rewriting for Semantic Parsing" and "Graph-Based Translation Via Graph Segmentation"

Ying Tian^*

^*Corresponding author for this work

City University of Hong Kong

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

52 Downloads (CityUHK Scholars)

Abstract

Machine translation is universally discussed by people worldwide nowadays along with the developments of computer science and artificial intelligence, however, sentence parsing and the translation errors between original language to target language are still difficult problems during the translation. This essay illustrates the main points of the two articles both of which concentrate on the methods to enhance the precision rate and accuracy of semantic parsing and translation, and makes a comparison between them. Even though these articles can increase the accuracy of translation, some of the backwards still exist and they are proposed to make the articles improved with their objectivity and precision.

Original language	English
Article number	042021
Journal	Journal of Physics: Conference Series
Volume	1852
Issue number	4
Online published	13 Apr 2021
DOIs	https://doi.org/10.1088/1742-6596/1852/4/042021
Publication status	Published - 2021
Event	2020 International Conference on Artificial Intelligence, Computer Networks and Communications (AICNC 2020) - Virtual, Lijiang, Yunnan, China Duration: 27 Dec 2020 → 30 Dec 2020

Research Keywords

Comparative Study
Machine Translation
Semantic Parsing and Translation

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This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

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SN - 1742-6588

VL - 1852

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

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Comparative Study on "Sentence Rewriting for Semantic Parsing" and "Graph-Based Translation Via Graph Segmentation"

Abstract

Research Keywords

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