Machine Translation

Aims & Scope

Covers all branches of computational linguistics and language engineering, wherever they incorporate a multilingual aspect.

It features papers that cover the theoretical, descriptive or computational aspects of any of the following topics: compilation and use of bi- and multilingual corpora; computer-aided language instruction and learning; computational implications of non-Roman character sets; connectionist approaches to translation; contrastive linguistics; corpus-based and statistical language modeling; discourse phenomena and their treatment in (human or machine) translation; history of machine translation; human translation theory and practice; knowledge engineering; machine translation and machine-aided translation; minority languages; morphology, syntax, semantics, pragmatics; multilingual dialogue systems; multilingual information retrieval; multilingual information society (sociological and legal as well as linguistic aspects); multilingual message understanding systems; multilingual natural language interfaces; multilingual text composition and generation; multilingual word-processing; phonetics, phonology; software localization and internationalization; speech processing, especially for speech translation.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	15285

Journal Citation Indicator

Year	Value
2024	89

SJR (SCImago Journal Rank)

Year	Value
2024	0.345

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	36

Impact Factor

Year	Value
2024	2.10

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Meteor metric for automatic evaluation of machine translation

  Citation: 129

  Authors: Alon, Michael J.

• Apertium: a free/open-source platform for rule-based machine translation

  Citation: 101

  Authors: Mikel L., Mireia, Jacob, Jim, Sergio, Juan Antonio, Felipe, Gema, Francis M.

• Review Article: Example-based Machine Translation

  Citation: 98

  Authors: Harold

• Eye tracking as an MT evaluation technique

  Citation: 72

  Authors: Stephen, Sharon, Michael

• Translating by post-editing: is it the way forward?

  Citation: 60

  Authors: Ignacio

• Pivot language approach for phrase-based statistical machine translation

  Citation: 59

  Authors: Hua, Haifeng

• Providing machine tractable dictionary tools

  Citation: 57

  Authors: Yorick, Dan, Cheng-ming, James E., Tony, Brian M.

• Interlingua-based English–Hindi Machine Translation and Language Divergence

  Citation: 54

  Authors: Shachi, Jignashu, Pushpak

• Towards predicting post-editing productivity

  Citation: 53

  Authors: Sharon

• Target-Text Mediated Interactive Machine Translation

  Citation: 51

  Authors: George, Pierre, Pierre

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