47 citations · 72 across the 7 of their papers we have counts for
8 papers
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Fahim Dalvi, Nadir Durrani, Hassan Sajjad +1
We address the problem of simultaneous translation by modifying the Neural MT decoder to operate with dynamically built encoder and attention. We propose a tunable agent which deci…
Robust Tuning Datasets for Statistical Machine Translation
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…
Speech Recognition Challenge in the Wild: Arabic MGB-3
Ahmed Ali, Stephan Vogel, Steve Renals
This paper describes the Arabic MGB-3 Challenge - Arabic Speech Recognition in the Wild. Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on more…
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +3
Word segmentation plays a pivotal role in improving any Arabic NLP application. Therefore, a lot of research has been spent in improving its accuracy. Off-the-shelf tools, however,…
Neural Machine Translation Training in a Multi-Domain Scenario
Hassan Sajjad, Nadir Durrani, Fahim Dalvi +2
In this paper, we explore alternative ways to train a neural machine translation system in a multi-domain scenario. We investigate data concatenation (with fine tuning), model stac…
QCRI Machine Translation Systems for IWSLT 16
Nadir Durrani, Fahim Dalvi, Hassan Sajjad +1
This paper describes QCRI's machine translation systems for the IWSLT 2016 evaluation campaign. We participated in the Arabic->English and English->Arabic tracks. We built both Phr…
Enabling Medical Translation for Low-Resource Languages
Ahmad Musleh, Nadir Durrani, Irina Temnikova +3
We present research towards bridging the language gap between migrant workers in Qatar and medical staff. In particular, we present the first steps towards the development of a rea…
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015
Hassan Sajjad, Nadir Durrani, Francisco Guzman +6
The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that the QCRI-Columbia-NYUAD (QCN) group submitted to the NIST OpenMT'2015 competiti…