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Pruning Neural Machine Translation for Speed Using Group Lasso ...
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The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation ...
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Sinhala-English Code-mixed and Code-switched Data Classification ...
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Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ...
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48 |
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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51 |
Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ...
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52 |
A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units
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In: Sensors ; Volume 21 ; Issue 19 (2021)
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53 |
Factors Behind the Effectiveness of an Unsupervised Neural Machine Translation System between Korean and Japanese
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In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
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Reusing Monolingual Pre-Trained Models by Cross-Connecting Seq2seq Models for Machine Translation
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In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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High-Performance English–Chinese Machine Translation Based on GPU-Enabled Deep Neural Networks with Domain Corpus
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In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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Improving the Performance of Vietnamese&ndash ; Korean Neural Machine Translation with Contextual Embedding
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In: Applied Sciences ; Volume 11 ; Issue 23 (2021)
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57 |
Recent Advances in Dialogue Machine Translation
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In: Information ; Volume 12 ; Issue 11 (2021)
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58 |
One-Shot Lexicon Learning for Low-Resource Machine Translation ...
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Improving Machine Translation of Rare and Unseen Word Senses ...
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60 |
Machine translation literacy and undergraduate students in applied languages : report on an exploratory study
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