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Visualizing cluster of words: a graphical approach to grammar acquisition
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In: CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021 ; https://hal.archives-ouvertes.fr/hal-03320170 ; Giovanni C. Porzio; Carla Rampichini; Chiara Bocci. CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021, Firenze University Press, pp.392-395, 2021, 978-88-5518-340-6. ⟨10.36253/978-88-5518-340-6⟩ (2021)
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Abstract:
International audience ; Language has been traditionally considered as a qualitative phenomenon that mainly requires hermeneutical methodologies in order to be studied, yet in recent decades thanks to advances in data storage, processing and visualization - there has been a growing and fertile interest in analysing language by relying on statistics and quantitative methods. In light of these motivations, we think it is worthwhile to try to explore databases made up of transcripted infant children spoken language in order to verify whether and how underlying patterns and recurrent sequences of learning stages work during acquisition. So, we think that the Expectation Maximization clustering method combined with an innovative graphical visualization can be useful to evaluate the development of linguistic structures over time in a reliable way.
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Keyword:
[SHS]Humanities and Social Sciences; EM clustering; first language acquisition; graphical visualization; phonetic variation rate; POS Tags
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URL: https://hal.archives-ouvertes.fr/hal-03320170/document https://hal.archives-ouvertes.fr/hal-03320170/file/19407%20pages%20392%20-%20395.pdf https://doi.org/10.36253/978-88-5518-340-6 https://hal.archives-ouvertes.fr/hal-03320170
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Frequency lists of word-level n-grams from the GOS 1.0 corpus 1.1
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The Shortcomings of Language Tags for Linked Data When Modeling Lesser-Known Languages
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Tittel, Sabine; Gillis-Webber, Frances. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Frequency lists of word-level n-grams from the Gigafida 2.0 corpus
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Frequency lists of word-level n-grams from the GOS 1.0 corpus
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Les questions en anglais d’un point de vue diachronique
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In: Corela, Vol 29 (2019) (2019)
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Retour sur les annotations des entités nommées dans les campagnes d’évaluation françaises et comparaison avec la TEI
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In: Corela, Vol 14, Iss 2 (2016) (2016)
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Adding new words into a language model using parameters of known words with similar behavior
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In: Proceedings ICNLSP'2015, International Conference on Natural Language and Speech Processing ; International Conference on Natural Language and Speech Processing ; https://hal.inria.fr/hal-01184194 ; International Conference on Natural Language and Speech Processing, Oct 2015, Alger, Algeria (2015)
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Topical tags vs . non - topical tags : towards a bipartite classification ?
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In: ISSN: 0165-5515 ; Journal of Information Science ; https://hal.inria.fr/hal-01228923 ; Journal of Information Science, SAGE Publications, 2014, ⟨10.1177/0165551515585283⟩ (2014)
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Elementarunterricht und Sprachbildung unter besonderer Berücksichtigung der Unterrichtspraxis am Berliner Königlichen Taubstummeninstitut zwischen Aufklärung und Frühmoderne ...
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Wolff, Sylvia. - : Humboldt-Universität zu Berlin, Philosophische Fakultät IV, 2013
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Elementarunterricht und Sprachbildung unter besonderer Berücksichtigung der Unterrichtspraxis am Berliner Königlichen Taubstummeninstitut zwischen Aufklärung und Frühmoderne
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Wolff, Sylvia. - : Humboldt-Universität zu Berlin, Philosophische Fakultät IV, 2013
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A Generic architecture for semantic enhanced tagging systems
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Magableh, Murad. - : De Montfort University, 2011. : Faculty of Technology, 2011. : STRL, 2011
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Text Mining for Automatic Image Tagging
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In: Twenty-third Annual International Conference on Computational Linguistics (COLING), 2010, Beijing, China (2010)
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Inducing Ontologies from Folksonomies using Natural Language Understanding
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In: DTIC (2009)
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Other contributors
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In: http://www.lc-star.com/D4.5.pdf (2005)
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SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text
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In: Association for Computational Linguistics (ACL)/SIGLEX Senseval-3 Conference, 2004, Barcelona, Spain (2004)
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