ISSN: 0922-6567

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Machine Translation Q2 Unclaimed

Springer Science and Business Media B.V. Netherlands

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Machine Translation is a journal indexed in SJR in Software and Artificial Intelligence with an H index of 36. It has a price of 2040 €. It has an SJR impact factor of 0,345 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,345.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Linguistics and Language (Q2) Artificial Intelligence (Q3) Software (Q3)

Price

2040 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,345

SJR Impact factor

36

H Index

0

Total Docs (Last Year)

31

Total Docs (3 years)

0

Total Refs

89

Total Cites (3 years)

29

Citable Docs (3 years)

0

Cites/Doc (2 years)

0.0

Ref/Doc

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Aims and Scope

Best articles by citations

Why MT systems are still not widely used

Special Issue on Embedded MT Systems; Overview

An error analysis for image-based multi-modal neural machine translation

Reaction to Somers: Current research in Machine Translation

Editor's note

Stochastic Finite-State Models for Spoken Language Machine Translation

From syntax to semantics: Insights from machine translation

Didier Bourigault, Christian Jacquemin and Marie-Claude L'Homme (eds), Recent Advances in Computational Terminology.

Analysis and generation grammars

Customizing verb definitions for specific semantic domains

APAC ? An experiment in machine translation

Book reviews

SHOW MORE ARTICLES

The foundations of artificial intelligence: A sourcebook

Interlingua-based English-Korean Two-way Speech Translation of Doctor-Patient Dialogues with CCLINC

A Methodology for Evaluating Arabic Machine Translation Systems

Embedding Knowledge Elicitation and MT Systems within a Single Architecture

Responses to Current Research in Machine Translation by Harold Somers

Explanation and Interaction: The computer generation of Explanatory Dialogues

What do we want from MT?

On the nature of lexical knowledge

Construction of a Chinese-English Verb Lexicon for Machine Translation and Embedded Multilingual Applications

Hybrid Natural Language Generation from Lexical Conceptual Structures

LinguaNet: Embedded MT in a Cross-Border Messaging System for European Law Enforcement

Guest editor's note