[PDF][PDF] Findings of the 2011 workshop on statistical machine translation

C Callison-Burch, P Koehn, C Monz… - Proceedings of the sixth …, 2011 - aclanthology.org
This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …

Active learning and crowdsourcing for machine translation in low resource scenarios

V Ambati - 2012 - search.proquest.com
Corpus based approaches to automatic translation such as Example Based and Statistical
Machine Translation systems use large amounts of parallel data created by humans to train …

[PDF][PDF] Twitter translation using translation-based cross-lingual retrieval

L Jehl, F Hieber, S Riezler - … of the seventh workshop on statistical …, 2012 - aclanthology.org
Microblogging services such as Twitter have become popular media for real-time
usercreated news reporting. Such communication often happens in parallel in different …

Guylingo: The Republic of Guyana Creole Corpora

C Clarke, R Daynauth, C Wilkinson, H Devonish… - ar** machine translation systems for many language
pairs is the lack of parallel data. Due to the time consuming and expensive effort required to …

Document Meta-Information as Weak Supervision for Machine Translation

LE Jehl - 2019 - archiv.ub.uni-heidelberg.de
Data-driven machine translation has advanced considerably since the first pioneering work
in the 1990s with recent systems claiming human parity on sentence translation for …

Improving neural language models on low-resource creole languages

S Schieferstein - 2018 - ideals.illinois.edu
When using neural models for NLP tasks, like language modelling, it is difficult to utilize a
language with little data, also known as a low-resource language. Creole languages are …