Discourse in Statistical Machine Translation

Article Properties
Cite
Hardmeier, Christian. “Discourse in Statistical Machine Translation”. Discours, no. 11, 2012, https://doi.org/10.4000/discours.8726.
Hardmeier, C. (2012). Discourse in Statistical Machine Translation. Discours, 11. https://doi.org/10.4000/discours.8726
Hardmeier C. Discourse in Statistical Machine Translation. Discours. 2012;(11).
Journal Categories
Language and Literature
Philology
Linguistics
Language and Literature
Philology
Linguistics
Computational linguistics
Natural language processing
Refrences
Title Journal Journal Categories Citations Publication Date
10.1017/S1351324911000337
10.1016/B0-08-044854-2/00497-1
Towards the automatic recognition of anaphoric features in English text: the impersonal pronoun “it” Computer Speech & Language
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
9 1987
10.1017/CBO9780511815829
10.1016/B0-08-044854-2/00936-6
Citations
Title Journal Journal Categories Citations Publication Date
Machine translation and its evaluation: a study Artificial Intelligence Review
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
5 2023
Document-Level Neural Machine Translation With Recurrent Context States IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2023
Zero-Pronoun Annotation Support Tool for the Evaluation of Machine Translation on Conversational Texts Journal of Natural Language Processing 2022
Heuristic Bilingual Graph Corpus Network to Improve English Instruction Methodology Based on Statistical Translation Approach

ACM Transactions on Asian and Low-Resource Language Information Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2021
Heuristic Bilingual Graph Corpus Network to Improve English Instruction Methodology Based on Statistical Translation Approach

ACM Transactions on Asian and Low-Resource Language Information Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2021
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Quantitative Analysis of Discourse Phenomena in Machine Translation and was published in 2015. The most recent citation comes from a 2023 study titled Document-Level Neural Machine Translation With Recurrent Context States. This article reached its peak citation in 2023, with 2 citations. It has been cited in 8 different journals, 37% of which are open access. Among related journals, the ACM Transactions on Asian and Low-Resource Language Information Processing cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year