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Interpreting Arabic Transformer Models ...
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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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5
Similarity Analysis of Contextual Word Representation Models ...
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6
AraBench: Benchmarking Dialectal Arabic-English Machine Translation ...
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7
A Clustering Framework for Lexical Normalization of Roman Urdu ...
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8
Analyzing Individual Neurons in Pre-trained Language Models ...
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9
On the Linguistic Representational Power of Neural Machine Translation Models
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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12
Identifying and Controlling Important Neurons in Neural Machine Translation ...
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13
The Summa Platform Prototype ...
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The Summa Platform Prototype ...
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15
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ...
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16
The SUMMA Platform Prototype
In: http://infoscience.epfl.ch/record/233575 (2017)
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17
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
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18
QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir. - : Carnegie Mellon University, 2015
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QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir. - : Carnegie Mellon University, 2015
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20
Hindi-to-Urdu machine translation through transliteration
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 465-474
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