Machine translation today

Forcada, Mikel L.

doi:10.1075/hts.1.mac1

In:Handbook of Translation Studies: Volume 1
Edited by Yves Gambier and Luc van Doorslaer
[Handbook of Translation Studies 1] 2010
► pp. 215–223

Get fulltext from our e-platform

Download Book PDF

Machine translation today

Mikel L. Forcada | Dublin City University

Published online: 28 October 2010

https://doi.org/10.1075/hts.1.mac1

Cited by (16)

Cited by 16 other publications

Order by:

Chernovaty, Leonid & Natalia Kovalchuk

2025. Psycholinguistic and Technohumnistic Aspects of Translator and Interpreter Training,

Chekole, Adane Kasie, Tesfa Tegegne Asfaw, Tesfahun Nurrie Mengestie, Belayneh Teshome Kebie, Mengistu Kinfe Negia & Yohannes Abinet Worku

2024. 2024 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), ► pp. 189 ff.

Chernovaty, Leonid, Martin Djovčoš & Natalia Kovalchuk

2023. The Impact of the Source-Text Syntactic Characteristics on the Sight-Translation Strategies and Quality. PSYCHOLINGUISTICS 34:2 ► pp. 156 ff.

DOLMACİ, Maide & Halil İbrahim BALKUL

2023. Yabancı Dil Öğretiminde Makine Çevirisi Kullanımı: Yabancı Dil Eğitmenlerinin Görüşleri Üzerine Görgül Bir Çalışma. Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi 5:2 ► pp. 85 ff.

Merkle, Denise

2022. Translation in the Second Millennium. In The Cambridge Handbook of Translation, ► pp. 556 ff.

Trojszczak, Marcin

2022. Translator Training Meets Machine Translation—Selected Challenges. In Language Use, Education, and Professional Contexts [Second Language Learning and Teaching, ], ► pp. 179 ff.

Castilho, Sheila, Federico Gaspari, Joss Moorkens, Maja Popović & Antonio Toral

2019. Editors’ foreword to the special issue on human factors in neural machine translation. Machine Translation 33:1-2 ► pp. 1 ff.

Siegel, Jacob S.

2018. Language as a Factor in the Quality of Demographic Data and Translation Issues in the Management of Surveys. In Demographic and Socioeconomic Basis of Ethnolinguistics, ► pp. 153 ff.

Forcada, Mikel L.

2017. Making sense of neural machine translation. Translation Spaces 6:2 ► pp. 291 ff.

Kadiu, Silvia

2016. Des zones d’indécidabilité dans la traduction automatique et dans la traduction humaine. Meta 61:1 ► pp. 204 ff.

Zaytsev, Alexandr

2016. Types of Translation: An Overview. In A Guide to English–Russian and Russian–English Non-literary Translation, ► pp. 3 ff.

Killman, Jeffrey

2015. Context as Achilles’ heel of translation technologies. Translation and Interpreting Studies 10:2 ► pp. 203 ff.

Killman, Jeffrey

2023. Machine translation and legal terminology. In Handbook of Terminology [Handbook of Terminology, 3], ► pp. 485 ff.

Killman, Jeffrey

2024. Machine translation literacy in the legal translation context: a SWOT analysis perspective. The Interpreter and Translator Trainer 18:2 ► pp. 271 ff.

[no author supplied]

2016. Pilot-Controller Communication Problems and an Initial Exploration of Language-Engineering Technologies as a Potential Solution. In Human Factors in Transportation [Industrial and Systems Engineering Series, ], ► pp. 297 ff.

[no author supplied]

2019. References. In Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community, ► pp. 97 ff.

This list is based on CrossRef data as of 11 december 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.