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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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Using a pupal exuvia to designate the undamaged neotype of a species belonging to a complex of sibling species – the case of Aedes coluzzii (Diptera, Culicidae)
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In: ISSN: 1252-607X ; EISSN: 1776-1042 ; Parasite ; https://hal.archives-ouvertes.fr/hal-03623918 ; Parasite, EDP Sciences, 2022, 29, pp.1-8. ⟨10.1051/parasite/2022020⟩ (2022)
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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
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In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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Особая роль акустических коррелятов речи (применительно к задачам криминалистики) ... : Special role of acoustic correlates (in relation to forensic purposes) ...
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
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In: Brain Sciences; Volume 12; Issue 5; Pages: 559 (2022)
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Phonetic Effects in the Perception of VOT in a Prevoicing Language
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In: Brain Sciences; Volume 12; Issue 4; Pages: 427 (2022)
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Identifying Source-Language Dialects in Translation
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In: Mathematics; Volume 10; Issue 9; Pages: 1431 (2022)
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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In: Languages; Volume 7; Issue 2; Pages: 103 (2022)
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Spinning words as disguise: Shady services for ethical research?
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In: First Monday; Volume 27, Number 1 - 3 January 2022 ; 1396-0466 (2022)
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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Predicting lexical complexity in English texts: the Complex 2.0 dataset
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Abstract:
© 2022 The Authors. Published by Springer. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1007/s10579-022-09588-2 ; Identifying words which may cause difficulty for a reader is an essential step in most lexical text simplification systems prior to lexical substitution and can also be used for assessing the readability of a text. This task is commonly referred to as complex word identification (CWI) and is often modelled as a supervised classification problem. For training such systems, annotated datasets in which words and sometimes multi-word expressions are labelled regarding complexity are required. In this paper we analyze previous work carried out in this task and investigate the properties of CWI datasets for English. We develop a protocol for the annotation of lexical complexity and use this to annotate a new dataset, CompLex 2.0. We present experiments using both new and old datasets to investigate the nature of lexical complexity. We found that a Likert-scale annotation protocol provides an objective setting that is superior for identifying the complexity of words compared to a binary annotation protocol. We release a new dataset using our new protocol to promote the task of Lexical Complexity Prediction.
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Keyword:
complex word identification; lexical complexity; text simplification
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URL: https://doi.org/10.1007/s10579-022-09588-2 http://hdl.handle.net/2436/624697
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Semantic modelling of self-realization of the personality ; Modelado semántico de auto-realización de la personalidad
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In: Anales de Psicología / Annals of Psychology; Vol. 38 No. 1 (2022): January - April; 163-176 ; Anales de Psicología / Annals of Psychology; Vol. 38 Núm. 1 (2022): Enero - Abril; 163-176 ; 1695-2294 ; 0212-9728 (2022)
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