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Visual generics: How adults understand generic language with different visualizations ...
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| 82 |
Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
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| 83 |
Effects of EFL Learning on L1 Chinese Lexis
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In: Sustainability; Volume 13; Issue 23; Pages: 13496 (2021)
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| 84 |
Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning
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In: Computers; Volume 10; Issue 12; Pages: 166 (2021)
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| 85 |
Transfer Capital or Transfer Deficit: A Dual Perspective of English Learning of ESL College Transfer Students
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In: Sustainability; Volume 14; Issue 1; Pages: 214 (2021)
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| 86 |
DATLMedQA: A Data Augmentation and Transfer Learning Based Solution for Medical Question Answering
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In: Applied Sciences; Volume 11; Issue 23; Pages: 11251 (2021)
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| 87 |
Modeling Heritage Language Phonetics and Phonology: Toward an Integrated Multilingual Sound System
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In: Languages; Volume 6; Issue 4; Pages: 209 (2021)
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| 88 |
NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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| 89 |
Heritage Tagalog Phonology and a Variationist Framework of Language Contact
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In: Languages; Volume 6; Issue 4; Pages: 201 (2021)
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| 90 |
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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| 91 |
Generating Synthetic Disguised Faces with Cycle-Consistency Loss and an Automated Filtering Algorithm
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In: Mathematics; Volume 10; Issue 1; Pages: 4 (2021)
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| 92 |
Methods for Detoxification of Texts for the Russian Language
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In: Multimodal Technologies and Interaction ; Volume 5 ; Issue 9 (2021)
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Abstract:
We introduce the first study of the automatic detoxification of Russian texts to combat offensive language. This kind of textual style transfer can be used for processing toxic content on social media or for eliminating toxicity in automatically generated texts. While much work has been done for the English language in this field, there are no works on detoxification for the Russian language. We suggest two types of models—an approach based on BERT architecture that performs local corrections and a supervised approach based on a pretrained GPT-2 language model. We compare these methods with several baselines. In addition, we provide the training datasets and describe the evaluation setup and metrics for automatic and manual evaluation. The results show that the tested approaches can be successfully used for detoxification, although there is room for improvement.
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Keyword:
detoxification; pretrained models; text style transfer; toxicity detection
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URL: https://doi.org/10.3390/mti5090054
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| 93 |
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
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In: Applied Sciences; Volume 11; Issue 22; Pages: 10860 (2021)
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| 94 |
3D Expression-Invariant Face Verification Based on Transfer Learning and Siamese Network for Small Sample Size
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In: Electronics ; Volume 10 ; Issue 17 (2021)
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| 95 |
Spanish-Catalan linguistic transfers: A study of lexical availability in Lleida ; Transferències lingüístiques castellà-català: un estudi de disponibilitat lèxica a Lleida
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In: Treballs de Sociolingüística Catalana; Núm. 31 (2021): L’estandardologia comparada: teoria i pràctica; 149-164 (2021)
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| 96 |
Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher
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| 97 |
Identifying Datooga loans in Iraqw - and the other way round ...
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| 98 |
Identifying Datooga loans in Iraqw - and the other way round ...
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| 99 |
Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher ...
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| 100 |
Surveying Motion Lexicalisation Patterns in L1-Portuguese/FL-English Bilinguals ...
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