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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Ying Tian

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number042021
Journal / PublicationJournal of Physics: Conference Series
Volume1852
Issue number4
Online published13 Apr 2021
Publication statusPublished - 2021

Conference

Title2020 International Conference on Artificial Intelligence, Computer Networks and Communications (AICNC 2020)
LocationVirtual
PlaceChina
CityLijiang, Yunnan
Period27 - 30 December 2020

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.

Research Area(s)

  • Comparative Study, Machine Translation, Semantic Parsing and Translation