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OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation

Related publications (38)

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The SUMMA Platform Prototype

Hervé Bourlard, Philip Neil Garner, Andrei Popescu-Belis, Nikolaos Pappas, Sibo Tong, Yang Wang, Ahmed Ali, Steve Renals, Lesly Sadiht Miculicich Werlen, Marco Damonte, Hassan Sajjad

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadca ...

Association for Computational Linguistics2017

For a long time, natural language processing (NLP) has relied on generative models with task specific and manually engineered features. Recently, there has been a resurgence of interest for neural networks in the machine learning community, obtaining state ...

EPFL2016

Kamusi Pre:D – Lexicon-based source-side predisambiguation for MT and other text processing applications

Martin Benjamin

Kamusi has been developing a system to analyze texts on the source side and present users with sense-specified dictionary options. Similarly to spellcheck, the user selects the intended meaning. We then use a multilingual lexical database to bridge to matc ...

ENeL2016

Discourse-level features for statistical machine translation

Thomas Meyer

Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...

EPFL2015

Disambiguating Discourse Connectives for Statistical Machine Translation

Andrei Popescu-Belis, Thomas Meyer

This paper shows that the automatic labeling of discourse connectives with the relations they signal, prior to machine translation (MT), can be used by phrase-based statistical MT systems to improve their translations. This improvement is demonstrated here ...

2015

École Polytechnique Fédérale de Lausanne (EPFL)2014

Automatic Speech Recognition and Translation of a Swiss German Dialect: Walliserdeutsch

Philip Neil Garner, David Imseng, Thomas Meyer

Walliserdeutsch is a Swiss German dialect spoken in the south west of Switzerland. To investigate the potential of automatic speech processing of Walliserdeutsch, a small database was collected based mainly on broadcast news from a local radio station. Exp ...

2014

English-French Verb Phrase Alignment in Europarl for Tense Translation Modeling

Andrei Popescu-Belis, Thomas Meyer

This paper presents a method for verb phrase (VP) alignment in an English/French parallel corpus and its use for improving statistical machine translation (SMT) of verb tenses. The method starts from automatic word alignment performed with GIZA++, and reli ...

2014

Cross-linguistic annotation of narrativity for English/French verb tense disambiguation

Thomas Meyer

This paper presents manual and automatic annotation experiments for a pragmatic verb tense feature (narrativity) in English/French parallel corpora. The feature is considered to play an important role for translating English Simple Past tense into French, ...

2014

Implicitation of Discourse Connectives in (Machine) Translation

Thomas Meyer

Explicit discourse connectives in a source language text are not always translated to comparable words or phrases in the target language. The paper provides a corpus analysis and a method for semi-automatic detection of such cases. Results show that discou ...

2013