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When the Easy Becomes Difficult: Factors Affecting the Acquisition of the English /iː/-/ɪ/ Contrast
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In: Frontiers in Communication ; 6 (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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| 3 |
Calculating semantic relatedness of lists of nouns using WordNet path length ...
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| 4 |
Impact of Sentence Representation Matching in Neural Machine Translation
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022)
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The Research on Consistency Checking and Improvement of Probabilistic Linguistic Preference Relation Based on Similarity Measure and Minimum Adjustment Model
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In: Mathematics; Volume 10; Issue 9; Pages: 1369 (2022)
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| 6 |
Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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| 10 |
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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| 11 |
Usage-Based Contact Linguistics : Effects of Frequency and Similarity in Language Contact
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| 12 |
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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| 13 |
“Language thinking” from the perspective of systemic linguistics
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In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 224-244 (2022) (2022)
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Abstract:
Systemic Linguistics by Gennadii P. Melnikov, representing the interaction of linguistics and philosophy, is a system of established scholarly knowledge. An evidence-based system of knowledge that rationally certifies Melnikov's results is reflected, in particular, in the systemic typology of languages as a subfield of systemic linguistics. Like systemic linguistics in general, systemic typology of languages has not yet been sufficiently subjected to scholarly reflection. The goal of the article is to expand the scholarly discourse on the systemic approach to language. The authors focus their attention on the explanatory potential of systemic linguistics in the study of the features of thought expression in the agglutinative Kazakh language and the problem of its conveyance by means of the inflectional Russian language. The data were obtained from everyday communication, the Kazakh-Russian dictionary (2008), samples from the Kazakh-language works by Auezov, Shakhanov, Korgasbek, Suleimenov among others, and their translations into Russian. The article aims to reveal the features of dividing sense into meanings in typologically different languages. The findings substantiated and verified the provision that in typologically different languages the division of sense into meanings differs and, depending on a meaning, may be expressed by a one-word nomination or cognomination. The study has revealed the ability of an inflectional language to convey the static character of an agglutinative language and to transform this staticity into eventfulness, depending on the purpose of communication. Thus, the research has proved that the same mental content is conveyed by different means developed in languages of different morphological types.
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Keyword:
extralinguistic thinking; linguistic thinking; meaning; P1-1091; Philology. Linguistics; sense; similarity association; systemic linguistics
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URL: https://doi.org/10.22363/2687-0088-30149
https://doaj.org/article/acc92ad312e94f37bac5c8ffc8b65e31
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| 14 |
Automatic Detection of Plagiarism in Writing
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In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
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| 15 |
Automatic Detection of Plagiarism in Writing
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In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
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| 16 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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| 17 |
Investigating the impact of preprocessing on document embedding: an empirical comparison
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In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
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| 18 |
Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages.
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In: Human brain mapping, vol 42, iss 4 (2021)
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| 19 |
Avoiding gender ambiguous pronouns in French
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03374279 ; Cognition, Elsevier, 2021 (2021)
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