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81
Living Machines atypical animacy dataset ...
: British Library, 2020
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82
SwissNLP : the Swiss association for natural language processing position paper at Computational Linguistics European nAtional and Regional Associations Meeting (CLEARA-MEET) at LREC ...
Hürlimann, Manuela; Cieliebak, Mark; Vogel, Manfred. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2020
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83
AI Dialog Software Application ...
Belch, Francis R. - : Mendeley, 2020
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84
A Corpus Approach to Roman Law Based on Justinian’s Digest ...
Ribary, Marton; McGillivray, Barbara. - : Apollo - University of Cambridge Repository, 2020
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85
AI Dialog Software Application ...
Belch, Francis R. - : Mendeley, 2020
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86
Machine learning methods for vector-based compositional semantics ...
Maillard, Jean. - : Apollo - University of Cambridge Repository, 2020
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87
Learning meaning representations for text generation with deep generative models ...
Cao, Kris. - : Apollo - University of Cambridge Repository, 2020
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88
The multiple benefits of making predictions in linguistics ...
Bodt, Timotheus A.; List, Johann-Mattis. - : Humanities Commons, 2020
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89
BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ...
Rahman, Md Ataur. - : Mendeley, 2020
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90
Computer-Assisted Language Comparison in Practice. Tutorials on Computational Approaches to the History and Diversity of Languages. Volume II ...
HC User. - : Humanities Commons, 2020
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91
BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ...
Rahman, Md Ataur. - : Mendeley, 2020
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92
Xtralingua: An open-source tool for extracting quantitative text profiles ...
Fitsilis, Fotios; Leventis, Sotiris; Mikros, George. - : Humanities Commons, 2020
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93
Computer-Assisted Language Comparison: State of the Art ...
Bodt, Timotheus A.; Hill, Nathan W.; List, Johann-Mattis. - : Humanities Commons, 2020
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94
Towards a sustainable handling of interlinear-glossed text in language documentation ...
Forkel, Robert; List, Johann-Mattis. - : Humanities Commons, 2020
Abstract: While the amount of digitally available data on the worlds' languages is steadily increasing, with more and more languages being documented, only a small proportion of the language resources produced are sustainable. Data reuse is often difficult due to idiosyncratic formats and a negligence of standards that could help to increase the comparability of linguistic data. The sustainability problem is nicely reflected in the current practice of handling interlinear-glossed text, one of the crucial resources produced in language documentation. Although large collections of glossed texts have been produced so far, the current practice of data handling makes data reuse difficult. In order to address this problem, we propose a first framework for the computer-assisted, sustainable handling of interlinear-glossed text resources. Building on recent standardization proposals for word lists and structural datasets, combined with state-of-the-art methods for automated sequence comparison in historical linguistics, we ...
Keyword: Computational linguistics; Historical linguistics; Linguistic typology
URL: https://dx.doi.org/10.17613/nppg-x393
https://hcommons.org/deposits/item/hc:29145/
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95
Identifying relations between characters in Afrikaans, Tshivenḓa, and Xitsonga books ...
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96
CorCenCC: Corpws Cenedlaethol Cymraeg Cyfoes – the National Corpus of Contemporary Welsh ...
Knight, Dawn; Morris, Steve; Fitzpatrick, Tess. - : Cardiff University, 2020
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97
The ergonomics of translation tools : understanding when less is actually more ...
Kappus, Martin; Ehrensberger-Dow, Maureen. - : Taylor & Francis, 2020
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98
Analysing student comments on RateMyProfessors.com using NLP techniques ...
Gioli, Giacomo. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2020
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99
Overview of the GermEval 2020 shared task on Swiss German language identification ...
Von Däniken, Pius; Hürlimann, Manuela; Cieliebak, Mark. - : CEUR Workshop Proceedings, 2020
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100
Halbautomatisches Erstellen von Concept Maps : von Christoph Presch ... : Semi-automatic creation of concept maps ...
Presch, Christoph. - : TU Wien, 2020
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