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Found 30 papers, 1 papers with code
QCRI’s Machine Translation Systems for IWSLT’16
This paper describes QCRI’s machine translation systems for the IWSLT 2016 evaluation campaign.
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
We address the problem of simultaneous translation by modifying the Neural MT decoder to operate with dynamically built encoder and attention.
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
End-to-end training makes the neural machine translation (NMT) architecture simpler, yet elegant compared to traditional statistical machine translation (SMT).
Robust Tuning Datasets for Statistical Machine Translation
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.
Speech Recognition Challenge in the Wild: Arabic MGB-3
Two hours of audio per dialect were released for development and a further two hours were used for evaluation.
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Word segmentation plays a pivotal role in improving any Arabic NLP application.
Interpreting Strategies Annotation in the WAW Corpus
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.
Neural Machine Translation Training in a Multi-Domain Scenario
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.
QCRI Live Speech Translation System
This paper presents QCRI{'}s Arabic-to-English live speech translation system.
The SUMMA Platform Prototype
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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QCRI Machine Translation Systems for IWSLT 16
This paper describes QCRI's machine translation systems for the IWSLT 2016 evaluation campaign.
Enabling Medical Translation for Low-Resource Languages
We present research towards bridging the language gap between migrant workers in Qatar and medical staff.
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015
The competition focused on informal dialectal Arabic, as used in SMS, chat, and speech.
Applying the Cognitive Machine Translation Evaluation Approach to Arabic
The goal of the cognitive machine translation (MT) evaluation approach is to build classifiers which assign post-editing effort scores to new texts.
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain
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.
