[PDF][PDF] Findings of the 2014 workshop on statistical machine translation

O Bojar, C Buck, C Federmann, B Haddow… - Proceedings of the …, 2014 - aclanthology.org
This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …

Toward gender-inclusive coreference resolution

YT Cao, H Daumé III - arxiv preprint arxiv:1910.13913, 2019 - arxiv.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …

Toward gender-inclusive coreference resolution: An analysis of gender and bias throughout the machine learning lifecycle

YT Cao, H Daumé III - Computational Linguistics, 2021 - aclanthology.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …

Evaluating the morphological competence of machine translation systems

F Burlot, F Yvon - 2nd Conference on Machine Translation (WMT17), 2017 - hal.science
While recent changes in Machine Translation state-of-the-art brought translation quality a
step further, it is regularly acknowledged that the standard automatic metrics do not provide …

Adaptation of machine translation for multilingual information retrieval in the medical domain

P Pecina, O Dušek, L Goeuriot, J Hajič… - Artificial intelligence in …, 2014 - Elsevier
Objective We investigate machine translation (MT) of user search queries in the context of
cross-lingual information retrieval (IR) in the medical domain. The main focus is on …

Generalizing cross-document event coreference resolution across multiple corpora

M Bugert, N Reimers, I Gurevych - Computational Linguistics, 2021 - direct.mit.edu
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of
events need to be identified and clustered throughout a collection of documents. CDCR …

Slavic languages in phrase-based statistical machine translation: a survey

MS Maučec, J Brest - Artificial intelligence review, 2019 - Springer
The demand for translations is increasing at a rate far beyond the capacity of professional
translators. It is too difficult, time consuming and expensive to translate everything from …

[LIVRE][B] The Oxford handbook of inflection

M Baerman - 2015 - books.google.com
This is the latest addition to a group of handbooks covering the field of morphology,
alongside The Oxford Handbook of Case (2008), The Oxford Handbook of Compounding …

Testsuite on Czech–English grammatical contrasts

S Cinkova, O Bojar - Proceedings of the Third Conference on …, 2018 - aclanthology.org
We present a pilot study of machine translation of selected grammatical contrasts between
Czech and English in WMT18 News Translation Task. For each phenomenon, we run a …

[PDF][PDF] Efficient Language Modeling Algorithms with Applications to Statistical Machine Translation

K Heafield - 2013 - lti.cmu.edu
N-gram language models are an essential component in statistical natural language
processing systems for tasks such as machine translation, speech recognition, and optical …