Academic Journal

A linguistically motivated taxonomy for Machine Translation error analysis

التفاصيل البيبلوغرافية
العنوان: A linguistically motivated taxonomy for Machine Translation error analysis
المؤلفون: Costa, Ângela, Ling, Wang, Luís, Tiago, Correia, Rui, Coheur, Luisa
المساهمون: Centro de Linguística da UNL (CLUNL)
سنة النشر: 2015
المجموعة: Repositório da Universidade Nova de Lisboa (UNL)
مصطلحات موضوعية: Machine Translation, Error Taxonomy, Error Analysis, Romance Languages
الوصف: UID/LIN/03213/2013 SFRH/BD/85737/2012 SFRH/BD/51157/2010 SFRH/BD/51156/2010 ; A detailed error analysis is a fundamental step in every natural lan- guage processing task, as to be able to diagnosis what went wrong will provide cues to decide which are the research directions to be followed. In this paper we focus on error analysis in Machine Translation. We deeply extend previous error taxonomies so that translation errors associated with Romance languages speci- ficities can be accommodated. Also, based on the proposed taxonomy, we carry out an extensive analysis of the errors generated by four di↵erent systems: two mainstream online translation systems Google Translate (Statistical) and Systran (Hybrid Machine Translation) and two in-house Machine Translation systems, in three scenarios representing di↵erent challenges in the translation from English to European Portuguese. Additionally, we comment on how distinct error types di↵erently impact translation quality. ; publishersversion ; published
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 0922-6567
Relation: info:eu-repo/grantAgreement/FCT/5876/147316/PT; info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F85737%2F2012/PT; info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F51157%2F2010/PT; info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F51156%2F2010/PT; PURE: 3376418; PURE UUID: 1e88f93a-fa73-4341-bc25-6f83138109cf; http://hdl.handle.net/10362/28607; https://doi.org/10.1007/s10590-015-9169-0
DOI: 10.1007/s10590-015-9169-0
الاتاحة: http://hdl.handle.net/10362/28607
https://doi.org/10.1007/s10590-015-9169-0
Rights: openAccess
رقم الانضمام: edsbas.1B92D2CE
قاعدة البيانات: BASE
الوصف
تدمد:09226567
DOI:10.1007/s10590-015-9169-0