Academic Journal
A linguistically motivated taxonomy for Machine Translation error analysis
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 |
تدمد: | 09226567 |
---|---|
DOI: | 10.1007/s10590-015-9169-0 |