Machine Translation

6.3k citations
467 papers · · active since 1950

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Text Readability and Simplification
    • Semantic Web and Ontologies
    • Translation Studies and Practices

Papers in

    • Natural Language Processing Techniques 370
    • Topic Modeling 243
    • Speech and dialogue systems 79
    • Text Readability and Simplification 56
    • Semantic Web and Ontologies 55
    • Syntax, Semantics, Linguistic Variation 27
    • Lexicography and Language Studies 26
    • Translation Studies and Practices 25

Machine Translation

403 papers receiving 4.9k citations

Peers

Machine Translation
Comparison fields: 5 of 146
  • Artificial Intelligence 5.4k
  • Language and Linguistics 1.1k
  • Human-Computer Interaction 196
  • Computer Vision and Pattern Recognition 649
  • Information Systems 485
Replace Digital Scholarship in the Humanities with:
Digital Scholarship in the Humanities United Kingdom
Literary and Linguistic Computing United Kingdom
Journal of Quantitative Linguistics China
Lingvisticae Investigationes France
International Journal of Lexicography United States
KNOWLEDGE ORGANIZATION United States
Natural Language Engineering United States
Procesamiento del lenguaje natural Spain
Semantic Web Germany
International Journal on Digital Libraries United States
Machine Translation relative to Digital Scholarship in the Humanities United Kingdom Digital Scholarship in the Humanities's profile →
Citations per field
00.5×2.6×
Digital Scholarship in the Humanities · 1×
Citations per year

Countries where authors publish in Machine Translation

Since Specialization
Citations

This map shows the geographic impact of research published in Machine Translation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Machine Translation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machine Translation more than expected).

Fields of papers published in Machine Translation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Machine Translation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Machine Translation.

About Machine Translation

The 467 papers published in Machine Translation in the last decades have received a total of 6.3k indexed citations . Papers published in Machine Translation usually cover Artificial Intelligence (391 papers), Language and Linguistics (82 papers), Human-Computer Interaction (13 papers), Computer Vision and Pattern Recognition (33 papers) and Developmental and Educational Psychology (16 papers) specifically the topics of Natural Language Processing Techniques (370 papers), Topic Modeling (243 papers), Speech and dialogue systems (79 papers), Text Readability and Simplification (56 papers), Semantic Web and Ontologies (55 papers), Syntax, Semantics, Linguistic Variation (27 papers), Lexicography and Language Studies (26 papers) and Translation Studies and Practices (25 papers). The most active scholars publishing in Machine Translation are Bonnie J. Dorr, Sharon O’Brien, Harold Somers, Alon Lavie, Martin Kay, Michael Denkowski, John G. B. Hutchins, Andy Way, Sergei Nirenburg and Ignacio González García.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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