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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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Abstract:
Low-resource machine translation suffers from the scarcity of training data and the unavailability of standard evaluation sets. While a number of research efforts target the former, the unavailability of evaluation benchmarks remain a major hindrance in tracking the progress in low-resource machine translation. In this paper, we introduce AraBench, an evaluation suite for dialectal Arabic to English machine translation. Compared to Modern Standard Arabic, Arabic dialects are challenging due to their spoken nature, non-standard orthography, and a large variation in dialectness. To this end, we pool together already available Dialectal Arabic-English resources and additionally build novel test sets. AraBench offers 4 coarse, 15 fine-grained and 25 city-level dialect categories, belonging to diverse genres, such as media, chat, religion and travel with varying level of dialectness. We report strong baselines using several training settings: fine-tuning, back-translation and data augmentation. The evaluation ...
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Keyword:
Computer and Information Science; Natural Language Processing; Neural Network
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URL: https://dx.doi.org/10.48448/wbq8-xt62 https://underline.io/lecture/6389-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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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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