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How transfer learning impacts linguistic knowledge in deep NLP models? ...
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How transfer learning impacts linguistic knowledge in deep NLP models? ...
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Effect of Post-processing on Contextualized Word Representations ...
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Similarity Analysis of Contextual Word Representation Models ...
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AraBench: Benchmarking Dialectal Arabic-English Machine Translation ...
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A Clustering Framework for Lexical Normalization of Roman Urdu ...
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Analyzing Individual Neurons in Pre-trained Language Models ...
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On the Linguistic Representational Power of Neural Machine Translation Models
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In: Computational Linguistics, Vol 46, Iss 1, Pp 1-52 (2020) (2020)
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On the Linguistic Representational Power of Neural Machine Translation Models ...
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What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models ...
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Identifying and Controlling Important Neurons in Neural Machine Translation ...
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The Summa Platform Prototype ...
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Liepins, Renars; Germann, Ulrich; Barzdins, Guntis; Birch, Alexandra; Renals, Steve; Weber, Susanne; van der Kreeft, Peggy; Bourlard, Herve; Prieto, Joao; Klejch, Ondrej; Bell, Peter; Lazaridis, Alexandros; Mendes, Alfonso; Riedel, Sebastian; Almeida, Mariana S. C.; Balage, Pedro; Cohen, Shay B.; Dwojak, Tomasz; Garner, Philip N.; Giefer, Andreas; Junczys-Dowmunt, Marcin; Imran, Hina; Nogueira, David; Ali, Ahmed; Miranda, Sebastiao; Popescu-Belis, Andrei; Miculicich Werlen, Lesly; Papasarantopoulos, Nikos; Obamuyide, Abiola; Jones, Clive; Dalvi, Fahim; Vlachos, Andreas; Wang, Yang; Tong, Sibo; Sennrich, Rico; Pappas, Nikolaos; Narayan, Shashi; Damonte, Marco; Durrani, Nadir; Khurana, Sameer; Abdelali, Ahmed; Sajjad, Hassan; Vogel, Stephan; Sheppey, David; Hernon, Chris; Mitchell, Jeff. - : Zenodo, 2017
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Abstract:
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 broadcast media, machine translation, automated tagging and classification of named entities, semantic parsing to detect relationships between entities, and automatic construction / augmentation of factual knowledge bases. Implemented on the Docker platform, it can easily be deployed, customised, and scaled to large volumes of incoming media streams. ...
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URL: https://dx.doi.org/10.5281/zenodo.834347 https://zenodo.org/record/834347
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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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Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
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QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
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QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
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