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Common and distinct predictors of non-symbolic and symbolic ordinal number processing across the early primary school years
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Common and distinct predictors of non-symbolic and symbolic ordinal number processing across the early primary school years
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In: PLoS One (2021)
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Active Semi-Supervised Learning for Improving Word Alignment ...
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Active Semi-Supervised Learning for Improving Word Alignment ...
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Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ...
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The SUMMA Platform Prototype
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In: http://infoscience.epfl.ch/record/233575 (2017)
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The left intraparietal sulcus adapts to symbolic number in both the visual and auditory modalities: Evidence from fMRI
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In: Brain and Mind Institute Researchers' Publications (2017)
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Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
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Sajjad, Hassan; Durrani, Nadir; Guzman, Francisco; Nakov, Preslav; Abdelali, Ahmed; Vogel, Stephan; Salloum, Wael; Kholy, Ahmed El; Habash, Nizar. - : arXiv, 2016
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Abstract:
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 competition. The competition focused on informal dialectal Arabic, as used in SMS, chat, and speech. Thus, our efforts focused on processing and standardizing Arabic, e.g., using tools such as 3arrib and MADAMIRA. We further trained a phrase-based SMT system using state-of-the-art features and components such as operation sequence model, class-based language model, sparse features, neural network joint model, genre-based hierarchically-interpolated language model, unsupervised transliteration mining, phrase-table merging, and hypothesis combination. Our system ranked second on all three genres. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1606.05759 https://arxiv.org/abs/1606.05759
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Enabling Medical Translation for Low-Resource Languages ...
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Nonparametric Word Segmentation for Machine Translation ...
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