Machine Translation
Published by Springer Nature
ISSN : 0922-6567 eISSN : 1573-0573
Abbreviation : Mach. Transl.
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 & ScopeMetrics & 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 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
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.