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1
L' intelligence artificielle des textes : des algorithmes à l'interprétation
Vanni, Laurent (Herausgeber); Mayaffre, Damon (Herausgeber). - Paris : Honoré Champion éditeur, 2021
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UB Frankfurt Linguistik
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2
“Trovare lavoro” in un corpus di narrativa del XIX-XX secolo. Procedure, aspetti e problemi di creazione, estrazione e rappresentazione dei dati ...
Sciumbata, Floriana Carlotta; Nadalutti, Paolo; Tringali, Luca. - : EUT Edizioni Università di Trieste, 2021
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3
“Trovare lavoro” in un corpus di narrativa del XIX-XX secolo. Procedure, aspetti e problemi di creazione, estrazione e rappresentazione dei dati
Sciumbata, Floriana Carlotta; Nadalutti, Paolo; Tringali, Luca. - : EUT Edizioni Università di Trieste, 2021
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4
Natural language processing with Spark NLP : learning to understand text at scale
Thomas, Alex. - Tokyo : O'Reilly, 2020
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UB Frankfurt Linguistik
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5
Sentiment analysis : mining opinions, sentiments, and emotions
Liu, Bing. - Cambridge : Cambridge University Press, 2020
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UB Frankfurt Linguistik
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6
Text analysis with R : for students of literature
Thalken, Rosamond; Jockers, Matthew Lee. - Cham, Switzerland : Springer, 2020
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UB Frankfurt Linguistik
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7
Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings
Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019
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UB Frankfurt Linguistik
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8
Language and chronology : text dating by machine learning
Toner, Gregory; Han, Xiwu. - Boston : Brill, 2019
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UB Frankfurt Linguistik
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9
L' indexation matière en transition : de la réforme de Rameau à l'indexation automatique
Cavalié, Étienne (Herausgeber). - Paris : Éditions du Cercle de la librairie, 2019
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UB Frankfurt Linguistik
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10
Multi-dimensional analysis : research methods and current issues
Sardinha, Tony Berber (Herausgeber); Pinto, Marcia Veirano (Herausgeber). - Sydney : Bloomsbury Academic, 2019
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UB Frankfurt Linguistik
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11
Keymorph analysis, or how morphosyntax informs discourse
In: Corpus linguistics and linguistic theory. - Berlin ; New York : Mouton de Gruyter 15 (2019) 1, 39-70
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12
P-ACTRES 2.0 : a parallel corpus for cross-linguistic research
In: Parallel corpora for contrastive and translation studies. - Amsterdam : John Benjamins (2019), 215-232
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13
Dating Sanskrit texts using linguistic features and neural networks
In: Indogermanische Forschungen. - Berlin : de Gruyter 124 (2019), 1-45
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14
Ispolʹzovanie mer semantičeskoj blizosti dlja raspoznavanija koreferencii v russkom jazyke : = Using semantic relatedness measures in coreference resolution for Russian
In: Novosibirskij gosudarstvennyj universitet. Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Serija lingvistika i mežkul'turnaja kommunikacija. - Novosibirsk 17 (2019) 1, 65-77
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15
Автоматическое распознавание ментальных действий, реализуемых в научных эмпирических текстах ... : Automatic identification of mental actions in scientific empirical texts ...
Salimovsky, Vladimir; Devyatkin, Dmitry; Kazhaya, Lyudmila. - : St. Petersburg State Polytechnical University Journal. Humanities and Social Sciences, 2019
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16
Navegación de corpus a través de anotaciones lingüísticas automáticas obtenidas por Procesamiento del Lenguaje Natural: de anecdótico a ecdótico
In: Revista de Humanidades Digitales, vol. 4, pp. 136 (2019)
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17
Concept parsing algorithms (CPA) for textual analysis and discovery : emerging research and opportunities
Etkind, Masha; Shafrir, Uri. - Hershey, PA : IGI Global, 2018
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UB Frankfurt Linguistik
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18
Comparing n-gram-based functional categories in original 'versus' translated texts
In: Corpora. - Edinburgh : Univ. Press 13 (2018) 3, 347-370
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19
Modes of analysis : an autoergography of corpus linguistics from lexis to discourse
In: The corpus linguistics discourse. - Amsterdem : John Benjamins Publishing Company (2018), 35-75
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20
Огляд методів обробки та аналізу текстів на природних мовах ; Методы обработки и анализа текстов на природных языках ; Methods of text`s processing and analysis in natural languages
In: Information and control systems at railway transport; № 6 (2018): ; 26-32 ; Информационно-управляющие системы на железнодорожном транспорте; № 6 (2018): ; Інформаційно-керуючі системи на залізничному транспорті; № 6 (2018): Інформаційно-керуючі системи на залізничному транспорті; 26-32 ; 2413-3833 ; 1681-4886 (2018)
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