Browsing Data Science Institute by Author "Popovic, Maja"
Now showing items 1-6 of 6
-
Asistent -- a machine translation system for Slovene, Serbian and Croatian
Arcan, Mihael; Popovic, Maja; Buitelaar, Paul (University of Ljubljana, 2016-09-29)The META-NET research on language technologies in 2012 showed a weak support on tools for crossing the language barrier for many European languages, including the south Slavic languages. Therefore, we describe a statistical ... -
Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages
Popovic, Maja; Arcan, Mihael (European Association for Machine Translation, 2015-05-11)The best way to improve a statistical machine translation system is to identify concrete problems causing translation errors and address them. Many of these problems are related to the characteristics of the involved ... -
Language related issues for machine translation between closely related south Slavic languages
Popovic, Maja; Arcan, Mihael; Klubicka, Filip (The COLING 2016 Organizing Committee, 2016-12-12)Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ... -
PE2 rr corpus: manual error annotation of automatically pre-annotated MT post-edits
Popovic, Maja; Arcan, Mihael (European Language Resources Association, 2016-05-23)We present a freely available corpus containing source language texts from different domains along with their automatically generated translations into several distinct morphologically rich languages, their post-edited ... -
Poor man’s lemmatisation for automatic error classification
Popovic, Maja; Arcan, Mihael; Avramidis, Eleftherios; Burchardt, Aljoscha; Lommel, Arle (European Association for Machine Translation, 2015-04-11)This paper demonstrates the possibility to make an existing automatic error classifier for machine translations independent from the requirement of lemmatisation. This makes it usable also for smaller and under-resourced ... -
Potential and limits of using post-edits as reference translations for MT evaluation
Popovic, Maja; Arcan, Mihael; Lommel, Arle (Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia, 2016-05-30)This work investigates the potential use of post-edited machine translation (MT) outputs as reference translations for automatic machine translation evaluation, focusing mainly on the following important question: Is it ...