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1
Text as data : computational methods of understanding written expression using SAS
Bawa, Gurpreet Singh; De Ville, Barry. - New York : Wiley, 2022
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UB Frankfurt Linguistik
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2
How much context span is enough? Examining context-related issues for document-level MT
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
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3
An investigation of English-Irish machine translation and associated resources
Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
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4
One model for the learning of language.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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5
Computational Measures of Deceptive Language: Prospects and Issues
In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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6
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system
In: ISSN: 0394-9370 ; Ethology Ecology and Evolution ; https://hal.inrae.fr/hal-03518874 ; Ethology Ecology and Evolution, Taylor & Francis, 2022, pp.1-17. ⟨10.1080/03949370.2021.2015452⟩ (2022)
Abstract: International audience ; The emergent field of animal linguistics applies linguistics tools to animal data in order to investigate potential linguistic-like properties of their communication. One of these tools is the “Urgency Principle”, a pragmatic principle stating that in an alarm sequence, calls providing information about the nature or location of a threat must come before those that do not. This theoretical principle has helped understand the alarm system of putty-nosed monkeys, but whether it is relevant for animal communication systems more generally remains to be tested. Moreover, while animal communication systems can convey information via a large set of encoding mechanisms, the Urgency Principle was developed for only one encoding mechanism, call ordering. Here, we propose to extend this principle to other encoding mechanisms and empirically test this with the alarm call system of black-fronted titi monkeys (Callicebus nigrifrons). We investigated how information about the context of emission unfolded with the emission of successive calls. Specifically, we analysed how contextual parameters influenced the gradual sequential organization of the first 50 calls in the sequence, using methods borrowed from computational linguistics and random forest algorithms. We hypothesized that, if the extended Urgency Principle reflected the sequential organization of titi monkey alarm call sequences, mechanisms encoding urgent information about the predatory situation should appear before encoding mechanisms that do not. Results supported the hypothesis that mechanisms encoding for urgent information relating to a predator event consistently appeared before mechanisms encoding for less-urgent social information. Our study suggests that the extended Urgency Principle applies more generally to animal communication, demonstrating that conceptual tools from linguistics can successfully be used to study nonhuman communication systems.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; Callicebus nigrifrons; computational linguistics; formal linguistics; sequences; vocalisations
URL: https://hal.inrae.fr/hal-03518874
https://doi.org/10.1080/03949370.2021.2015452
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7
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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8
Labour market discrimination and biases in human judgement and Artificial Intelligence ...
Patel, Krishane. - : Open Science Framework, 2022
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9
Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ...
Dubourg, Edgar. - : Open Science Framework, 2022
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10
Finding the best way to put media bias research into practice through an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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11
Spatial representations without spatial computations ...
Gatti, Daniele. - : Open Science Framework, 2022
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12
CompLanguageLearning ...
Koplenig, Alexander. - : Open Science Framework, 2022
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13
Maschinelle Übersetzung (MT) für den Notfall : Ratgeber zum Einsatz von MT Tools für die Kommunikation mit Flüchtlingen aus der Ukraine ...
Delorme Benites, Alice. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2022
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14
Neural machine translation and language teaching : possible implications for the CEFR ...
Delorme Benites, Alice; Lehr, Caroline. - : Vereinigung für Angewandte Linguistik in der Schweiz, 2022
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15
From bag-of-words towards natural language: adapting topic models to avoid stop word removal ...
Max Schulze Dieckhoff. - : Universitätsbibliothek Eichstätt-Ingolstadt, 2022
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16
Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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17
DiaCollo für GEI-Digital - Ein experimentelles Projekt zur weiteren Erschließung digitalisierter historischer Schulbuchbestände ...
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18
DiaCollo für GEI-Digital - Ein experimentelles Projekt zur weiteren Erschließung digitalisierter historischer Schulbuchbestände ...
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19
DiaCollo für GEI-Digital - Ein experimentelles Projekt zur weiteren Erschließung digitalisierter historischer Schulbuchbestände ...
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20
Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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