Part of
Computers and Translation: A translator's guideEdited by Harold Somers
[Benjamins Translation Library 35] 2003
► pp. 211–244
Edited by Harold Somers
[Benjamins Translation Library 35] 2003
► pp. 211–244
13. How to evaluate machine translation
Cited by
Cited by 14 other publications
Bowker, Lynne & Jairo Buitrago Ciro
2015. Investigating the usefulness of machine translation for newcomers at the public library. Translation and Interpreting Studies 10:2 ► pp. 165 ff. 
Elliott, Debbie, Anthony Hartley & Eric Atwell
2004. A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation. In Machine Translation: From Real Users to Research [Lecture Notes in Computer Science, 3265], ► pp. 64 ff.
Grabowski, Łukasz
2018. On identification of bilingual lexical bundles for translation purposes. In Multiword Units in Machine Translation and Translation Technology [Current Issues in Linguistic Theory, 341], ► pp. 182 ff.
HARTLEY, Anthony, Beibei HE, Masao UTIYAMA, Hitoshi ISAHARA & Eiichiro SUMITA
2018. ScrumSourcing: retos de la postedición colaborativa para la Copa Mundial de Rugby 2019. CLINA: Revista Interdisciplinaria de Traducción, Interpretación y Comunicación Intercultural 4:2 ► pp. 141 ff.
Kadiu, Silvia
2016. Des zones d’indécidabilité dans la traduction automatique et dans la traduction humaine. Meta 61:1 ► pp. 204 ff.
Kenny, Dorothy
2006. Chiew Kin Quah, Translation and Technology. Machine Translation 20:4 ► pp. 291 ff.
Kenny, Dorothy & Stephen Doherty
2014. Statistical machine translation in the translation curriculum: overcoming obstacles and empowering translators. The Interpreter and Translator Trainer 8:2 ► pp. 276 ff.
Larroyed, Aline A.
2018. Machine Translation and Disclosure of Patent Information. IIC - International Review of Intellectual Property and Competition Law 49:7 ► pp. 763 ff.
Munkova, Dasa & Michal Munk
2014. 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT), ► pp. 1 ff.
Munková, Daša & Michal Munk
2015. Automatic Evaluation of Machine Translation Through the Residual Analysis. In Advanced Intelligent Computing Theories and Applications [Lecture Notes in Computer Science, 9227], ► pp. 481 ff.
Munkova, Dasa, Michal Munk, Jozef Kapusta & Jaroslav Reichel
2016. 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT), ► pp. 1 ff.
O’Brien, Sharon
2011. Towards predicting post-editing productivity. Machine Translation 25:3 ► pp. 197 ff.
Stecconi, Ubaldo
2004. Interpretive semiotics and translation theory: The semiotic conditions to translation. Semiotica 2004:150
ÇAPOĞLU, Nevzat
2022. Makine Çevirilerinde Sorun Oluşturaan Eş Yazımlı Sözcükleri Bulunduran İfadeler için Kural Matrisli Makine Çevirisi (KMMÇ) Modeli. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 15:2 ► pp. 110 ff.
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