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The Use of Contrastive Studies in Linguistics
Journal of Modern Languages, 2017 This study considers the needs of the graduate students, especially the linguistics’ ones, in finding an adequate topic to produce a research paper to complete their degrees.
Merton L. Bland
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Semantic contrastive linguistics theory and dialectological studies
Cognitive Studies | Études cognitives, 2015 Semantic contrastive linguistics theory and dialectological studies Theoretical contrastive studies (hereinafter referred to as TCS) emerged with a view to compare and contrast natural languages on the basis of a logical interlanguage.
Danuta Roszko
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Contrastive Analysis in Linguistics
, 2018 In its core sense, contrastive linguistics can be defined as the theoretically grounded, systematic and synchronic comparison of usually two languages, or at most no more than a small number of languages. In the early stages of the development of the field, comparisons were usually carried out with a view to applying the findings for the benefit of the
C. Mair
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Review of Mahvash Ghavimi’s Retranslations from Two of Camus's Plays [PDF]
پژوهشنامۀ انتقادی متون و برنامههای علوم انسانی, 2020 Mahvash Ghavimi, a researcher, university professor, and one of the famous experts in French language and literature, whose main fame in translation is related to the works of Christian Bobin, has translated Le Malentendu and Les Justes by Albert Camus.
Masoumeh Zavarian, Mahdi Mohammad Beighy
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Contrastive Decoding: Open-ended Text Generation as Optimization [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Given a language model (LM), maximum probability is a poor decoding objective for open-ended generation, because it produces short and repetitive text. On the other hand, sampling can often produce incoherent text that drifts from the original topics. We
Xiang Lisa Li +7 more
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SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links. Text-based methods such as KGBERT (Yao et al., 2019) learn entity representations from natural language descriptions, and have the potential for inductive KGC ...
Liang Wang +3 more
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CONTRASTIVE LINGUISTICS AND TEXT LINGUISTICS
, 2023 This article gives information about Contrastive Linguistics aims to provide students with a wide perspective on this field of linguistic analysis, and also with the tools they need in order to be able to establish comparisons and to contrast English with Spanish or Catalan.
Abduraxmonova Zilola Yoqubjon qizi +1 more
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DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings [PDF]
North American Chapter of the Association for Computational Linguistics, 2022 We propose DiffCSE, an unsupervised contrastive learning framework for learning sentence embeddings. DiffCSE learns sentence embeddings that are sensitive to the difference between the original sentence and an edited sentence, where the edited sentence ...
Yung-Sung Chuang +9 more
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ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Learning high-quality sentence representations benefits a wide range of natural language processing tasks. Though BERT-based pre-trained language models achieve high performance on many downstream tasks, the native derived sentence representations are ...
Yuanmeng Yan +5 more
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Contrastive Linguistics and Cultural Linguistics
, 2023 This scientific article delves into the interconnectedness of language and culture by exploring the subfields of Contrastive Linguistics (CL) and Cultural Linguistics (CL). Together, these disciplines shed light on the correlation between language, society, and cultural values.
Mamatova Dilfuza Anorboy qizi +1 more
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