Search Results for author: Stephan Vogel

Found 29 papers, 1 papers with code

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation

no code implementations NAACL 2018 Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Stephan Vogel

We address the problem of simultaneous translation by modifying the Neural MT decoder to operate with dynamically built encoder and attention.

Machine Translation Translation

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder

no code implementations IJCNLP 2017 Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Stephan Vogel

End-to-end training makes the neural machine translation (NMT) architecture simpler, yet elegant compared to traditional statistical machine translation (SMT).

Machine Translation Multi-Task Learning +1

Robust Tuning Datasets for Statistical Machine Translation

no code implementations RANLP 2017 Preslav Nakov, Stephan Vogel

We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter tuning algorithms.

Machine Translation Translation

Speech Recognition Challenge in the Wild: Arabic MGB-3

1 code implementation21 Sep 2017 Ahmed Ali, Stephan Vogel, Steve Renals

Two hours of audio per dialect were released for development and a further two hours were used for evaluation.

Dialect Identification Speech Recognition

Interpreting Strategies Annotation in the WAW Corpus

no code implementations RANLP 2017 Irina Temnikova, Ahmed Abdelali, Samy Hedaya, Stephan Vogel, Aishah Al Daher

In this article we run an automatic analysis of a corpus of parallel speeches and their human interpretations, and provide the results of manually annotating the human interpreting strategies in a sample of the corpus.

Machine Translation Speech-to-Text Translation +1

Neural Machine Translation Training in a Multi-Domain Scenario

no code implementations29 Aug 2017 Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel

Model stacking works best when training begins with the furthest out-of-domain data and the model is incrementally fine-tuned with the next furthest domain and so on.

Fine-tuning Machine Translation +1

QCRI Machine Translation Systems for IWSLT 16

no code implementations14 Jan 2017 Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Stephan Vogel

This paper describes QCRI's machine translation systems for the IWSLT 2016 evaluation campaign.

Domain Adaptation Fine-tuning +3

Applying the Cognitive Machine Translation Evaluation Approach to Arabic

no code implementations LREC 2016 Irina Temnikova, Wajdi Zaghouani, Stephan Vogel, Nizar Habash

The goal of the cognitive machine translation (MT) evaluation approach is to build classifiers which assign post-editing effort scores to new texts.

Machine Translation Translation

The AMARA Corpus: Building Parallel Language Resources for the Educational Domain

no code implementations LREC 2014 Ahmed Abdelali, Francisco Guzman, Hassan Sajjad, Stephan Vogel

This paper presents the AMARA corpus of on-line educational content: a new parallel corpus of educational video subtitles, multilingually aligned for 20 languages, i. e. 20 monolingual corpora and 190 parallel corpora.

Document-level Machine Translation +1

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