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Found 31 papers, 2 papers with code
Automatic MT Error Analysis: Hjerson Helping Addicter
We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing.
Terra: a Collection of Translation Error-Annotated Corpora
Recently the first methods of automatic diagnostics of machine translation have emerged; since this area of research is relatively young, the efforts are not coordinated.
Involving Language Professionals in the Evaluation of Machine Translation
Significant breakthroughs in machine translation only seem possible if human translators are taken into the loop.
The taraX\"U corpus of human-annotated machine translations
Human translators are the key to evaluating machine translation (MT) quality and also to addressing the so far unanswered question when and how to use MT in professional translation workflows.
PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits
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 versions, and error annotations of the performed post-edit operations.
Tools and Guidelines for Principled Machine Translation Development
This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods.
Language Related Issues for Machine Translation between Closely Related South Slavic Languages
This work explores the obstacles for machine translation systems between closely related South Slavic languages, namely Croatian, Serbian and Slovenian.
Enlarging Scarce In-domain English-Croatian Corpus for SMT of MOOCs Using Serbian
Massive Open Online Courses have been growing rapidly in size and impact.
Complex Word Identification Using Character n-grams
The system was ranked in the middle range for all English texts, as third of fourteen submissions for German, and as tenth of seventeen submissions for Spanish.
Building English-to-Serbian Machine Translation System for IMDb Movie Reviews
This paper reports the results of the first experiment dealing with the challenges of building a machine translation system for user-generated content involving a complex South Slavic language.
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses
Qualitative manual inspection of translation hypotheses shown that highly ranked systems generally produce translations with high adequacy and fluency, meaning that these systems are not only capable of capturing the right conjunction whereas the rest of the translation hypothesis is poor.
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language
We use the state-of-the-art automatic text simplification (ATS) system for lexically and syntactically simplifying source sentences, which are then translated with two state-of-the-art English-to-Serbian MT systems, the phrase-based MT (PBMT) and the neural MT (NMT).
Are ambiguous conjunctions problematic for machine translation?
In total, we evaluate the conjunction {``}but{''} on 20 translation outputs, and the conjunction {``}and{''} on 10.
Combining PBSMT and NMT Back-translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance when large sets of parallel data are used for training.
On Context Span Needed for Machine Translation Evaluation
Despite increasing efforts to improve evaluation of machine translation (MT) by going beyond the sentence level to the document level, the definition of what exactly constitutes a {``}document level{''} is still not clear.
Relations between comprehensibility and adequacy errors in machine translation output
This work presents a detailed analysis of translation errors perceived by readers as comprehensibility and/or adequacy issues.
Informative Manual Evaluation of Machine Translation Output
Also, it is not restricted to MT output, but can be used for other types of generated text.
