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Universal Segmentations 1.0 (UniSegments 1.0)
Abstract: Universal Segmentations (UniSegments) is a collection of lexical resources capturing morphological segmentations harmonised into a cross-linguistically consistent annotation scheme for many languages. The annotation scheme consists of simple tab-separated columns that stores a word and its morphological segmentations, including pieces of information about the word and the segmented units, e.g., part-of-speech categories, type of morphs/morphemes etc. The current public version of the collection contains 38 harmonised segmentation datasets covering 30 different languages.
Keyword: Armenian language; Bengali language; Catalan language; Croatian language; Czech language; English language; Erzya language; Finnish language; French language; German language; Hindi language; Hungarian language; Italian language; Kannada language; Komi-Zyrian language; Latin language; Malayalam language; Marathi language; Mari (Russia) language; Moksha language; Mongolian language; morph; morphemes; morphological dictionary; morphological segmentation; morphology; multilingual; Persian language; Polish language; Portuguese language; Russian language; segmentation; Serbo-Croatian language; Spanish language; Swedish language; Tajik language; Udmurt language; unisegments; universal segmentations; word segmentation
URL: http://hdl.handle.net/11234/1-4629
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2
Is there a bilingual disadvantage for word segmentation? A computational modeling approach
In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021)
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SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
Fibla, Laia. - : Open Science Framework, 2021
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Early Tashelhiyt Berber word segmentation: the role of the Possible Word Constraint ...
Elouatiq, Abdellah. - : Open Science Framework, 2021
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5
Handling cross and out-of-domain samples in Thai word segmentation
In: 1003 ; 1016 (2021)
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6
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
In: Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), ; SLTU-CCURL workshop, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02895907 ; SLTU-CCURL workshop, LREC 2020, May 2020, Marseille, France (2020)
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7
Infants Segment Words from Songs—An EEG Study
In: Brain Sciences ; Volume 10 ; Issue 1 (2020)
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MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language
In: Information ; Volume 10 ; Issue 10 (2019)
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9
Improving Basic Natural Language Processing Tools for the Ainu Language
In: Information ; Volume 10 ; Issue 11 (2019)
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10
Morphosyntactic disambiguation and segmentation for historical Polish with graph-based conditional random fields
In: 21st International Conference on Text, Speech and Dialogue (TSD 2018) ; https://hal.archives-ouvertes.fr/hal-01835573 ; 21st International Conference on Text, Speech and Dialogue (TSD 2018), Sep 2018, Brno, Czech Republic (2018)
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11
A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
In: Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01807093 ; Language Resources and Evaluation Conference (LREC), Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Pi, May 2018, Miyazaki, Japan (2018)
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12
CoNLL 2017 and 2018 Shared Task Blind and Preprocessed Test Data
Zeman, Daniel; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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13
Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy and Uncertainty
In: Brain Sciences ; Volume 8 ; Issue 6 (2018)
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14
Auditory disruption improves word segmentation: A functional basis for lenition phenomena
In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 38 ; 2397-1835 (2018)
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15
Data-Driven Identification of German Phrasal Compounds
In: Text, Speech, and Dialogue ; https://hal.archives-ouvertes.fr/hal-01575651 ; Kamil Ekštein; Václav Matoušek. Text, Speech, and Dialogue, 10415, Springer International Publishing, pp.192-200, 2017, Lecture Notes in Computer Science, 978-3-319-64205-5. ⟨10.1007/978-3-319-64206-2_22⟩ ; https://link.springer.com/bookseries/558 (2017)
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16
Segmenting and POS tagging Classical Tibetan using a memory-based tagger
In: Meelen, Marieke; & Hill, Nathan. (2017). Segmenting and POS tagging Classical Tibetan using a memory-based tagger. Himalayan Linguistics, 16(2). doi:10.5070/H916234501. Retrieved from: http://www.escholarship.org/uc/item/8b83z79n (2017)
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17
Processing continuous speech in infancy: From major prosodic units to isolated word forms
In: The Oxford Handbook of Developmental Linguistics ; https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02934162 ; Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. The Oxford Handbook of Developmental Linguistics, Oxford University Press, pp.133-156, 2016, 9780199601264. ⟨10.1093/oxfordhb/9780199601264.013.8⟩ ; https://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199601264.001.0001/oxfordhb-9780199601264 (2016)
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18
Unsupervised learning of morphology in the USSR
In: Journées internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-01620908 ; Journées internationales d'Analyse statistique des Données Textuelles, Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette, Jun 2016, Nice, France (2016)
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19
Isolated Words Selectively Enhance Memory for High Transitional Probability Sound Sequences
In: Masters Theses (2016)
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Quantas sílabas tem “cháv(e)na”? Sobre o impacto dos apagamentos vocálicos na segmentação silábica de crianças no ensino pré-escolar
In: Linguística : Revista de Estudos Linguísticos da Universidade do Porto, Vol 10, Pp 31-58 (2015) (2015)
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