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Crowdsourcing linguistic resources for natural non-standardised languages processing ; Myriadisation de ressources linguistiques pour le traitement automatique de langues non standardisées
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In: https://hal.archives-ouvertes.fr/tel-03083213 ; Informatique et langage [cs.CL]. Sorbonne Universite, 2020. Français (2020)
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Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech
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In: 2020 International Joint Conference on Neural Networks (IJCNN 2020) ; https://hal.inria.fr/hal-02594495 ; 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom ; https://wcci2020.org/ (2020)
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Macedonian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serbian 1.1
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1
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Annotated Corpus of Pre-Standardized Balkan Slavic Literature
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Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2020
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Serbian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Croatian 1.0
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Abstract:
This model for morphosyntactic annotation of non-standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training corpus (http://hdl.handle.net/11356/1210), the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1241), the RAPUT corpus (https://www.aclweb.org/anthology/L16-1513/) and the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1240), using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1205). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~95.11.
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Keyword:
computer-mediated communication; language model; part-of-speech tagging
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URL: http://hdl.handle.net/11356/1331
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Slovenian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.1
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Языковая политика и языковые ресурсы в китайском интернете ... : Language policy and language resources on the Chinese Internet ...
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Роль антонимичных морфем в словообразовании современного китайского языка ... : The Role of Antonymous Morphemes in Word Formation of the Modern Chinese Language ...
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Category-specific effects in Welsh mutation
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In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 1 ; 2397-1835 (2020)
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Разработка модуля для группировки новостных статей ... : выпускная квалификационная работа бакалавра ...
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Агаев, Аслан. - : Санкт-Петербургский политехнический университет Петра Великого, 2020
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Место междометий в системе частей речи и их классификация ... : PLACE OF INTERJECTIONS IN THE SYSTEM OF PARTS OF SPEECH AND THEIR CLASSIFICATION ...
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Natural Language Processing based Soft Computing Techniques ...
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