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Awesome forces and warning signs ; Awesome forces and warning signs: Charting the semantic history of tabu words in Vanuatu
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In: ISSN: 0029-8115 ; EISSN: 1527-9421 ; Oceanic Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03092520 ; Oceanic Linguistics, University of Hawai'i Press, 2022, 61 (1), ⟨10.1353/ol.2021.0012⟩ ; https://muse.jhu.edu/article/835779/summary (2022)
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Linguistic resources for paraphrase generation in Portuguese: a Lexicon-Grammar approach
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03548861 ; Language Resources and Evaluation, Springer Verlag, 2022, ⟨10.1007/s10579-021-09561-5⟩ ; https://link.springer.com/article/10.1007/s10579-021-09561-5 (2022)
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ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays
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In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03655148 ; Language Resources and Evaluation Conference, Jun 2022, Marseille, France ; https://lrec2022.lrec-conf.org/ (2022)
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NomVallex 2.0
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Abstract:
NomVallex 2.0 is a manually annotated valency lexicon of Czech nouns and adjectives, created in the theoretical framework of the Functional Generative Description and based on corpus data (the SYN series of corpora from the Czech National Corpus and the Araneum Bohemicum Maximum corpus). In total, NomVallex is comprised of 1027 lexical units contained in 570 lexemes, covering the following parts-of-speech and derivational categories: deverbal or deadjectival nouns, and deverbal, denominal, deadjectival or primary adjectives. Valency properties of a lexical unit are captured in a valency frame (modeled as a sequence of valency slots, each supplemented with a list of morphemic forms) and documented by corpus examples. In order to make it possible to study the relationship between valency behavior of base words and their derivatives, lexical units of nouns and adjectives in NomVallex are linked to their respective base lexical units (contained either in NomVallex itself or, in case of verbs, in the VALLEX lexicon), linking up to three parts-of-speech (i.e., noun – verb, adjective – verb, noun – adjective, and noun – adjective – verb). In order to facilitate comparison, this submission also contains abbreviated entries of the base verbs of these nouns and adjectives from the VALLEX lexicon and simplified entries of the covered nouns and adjectives from the PDT-Vallex lexicon.
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Keyword:
adjectival valency; Czech; Czech language; deadjectival adjectives; deadjectival nouns; denominal adjectives; deverbal adjectives; deverbal nouns; lexicon; noun valency; primary adjectives; semantics; syntax; valency
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URL: http://hdl.handle.net/11234/1-4663
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Neologia Lexical em Uanhenga Xitu: Para a construção de um glossário de autor
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Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ...
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Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ...
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EXPLICIT HISTORICAL, PHONETIC, AND PHONOLOGICAL INSTRUCTION IN SECOND LANGUAGE ACQUISITION ...
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EXPLICIT HISTORICAL, PHONETIC, AND PHONOLOGICAL INSTRUCTION IN SECOND LANGUAGE ACQUISITION ...
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Paradigmatic Uniformity: Evidence from Heritage Speakers of Spanish ...
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Paradigmatic Uniformity: Evidence from Heritage Speakers of Spanish ...
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Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ...
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Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ...
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Onomastic Conversion - An Active Way of Making Anthroponyms ...
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К вопросу о формировании стилей в цахурском языке ... : To the question of the formation of styles in the Tsakhur language ...
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Исаева, З.Н.. - : АНО Редакция журнала "Социально-гуманитарные знания", 2022
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LEXICAL AND SEMANTIC CHARACTERISTICS OF HYPONOMIC RELATIONS AND DEEPLY ANALYZING ITS FEATURES IN ENGLISH LINGUISTUCS ...
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Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
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In: Electronics; Volume 11; Issue 3; Pages: 374 (2022)
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COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
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In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022)
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