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Grammatically Coded Corpus Of Spoken Lithuanian: Methodology And Development ...
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Grammatically Coded Corpus Of Spoken Lithuanian: Methodology And Development ...
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Abstract:
The paper deals with the main issues of methodology of the Corpus of Spoken Lithuanian which was started to be developed in 2006. At present, the corpus consists of 300,000 grammatically annotated word forms. The creation of the corpus consists of three main stages: collecting the data, the transcription of the recorded data, and the grammatical annotation. Collecting the data was based on the principles of balance and naturality. The recorded speech was transcribed according to the CHAT requirements of CHILDES. The transcripts were double-checked and annotated grammatically using CHILDES. The development of the Corpus of Spoken Lithuanian has led to the constant increase in studies on spontaneous communication, and various papers have dealt with a distribution of parts of speech, use of different grammatical forms, variation of inflectional paradigms, distribution of fillers, syntactic functions of adjectives, the mean length of utterances. ... : {"references": ["J. Kuva\u010d Kraljevi\u0107, and G. Hr\u017eica, \"Croatian adult spoken language corpus (HrAL),\" FLUMINENSIA: Journal for Philological Research, vol. 28, no. 2, 2017, pp. 87\u2013102.", "D. Biber, \"Investigation language use through corpus-based analyses of association patterns,\" International Journal of Corpus Linguistics, vol. 1, no. 2, 1996, pp. 171\u2013198.", "D. Biber, University Language: A Corpus-based Study of Spoken and Written Registers. Amsterdam: John Benjamins, 2006.", "G. Gravier, G. Adda, N. Paulson, M. Carr\u00e9, A. Giraudel, and O. Galibert, \"The ETAPE corpus for the evaluation of speech-based TV content processing in the French language,\" in LREC-Eighth international conference on Language Resources and Evaluation, Turkey, 2012.", "R. Simpson, and D. Mendis, \"A Corpus-Based Study of Idioms in Academic Speech\", Tesol Quarterly, vol. 37, iss. 3, 2003, pp. 419\u2013441.", "R. Reppen, \"English language teaching and corpus linguistics: Lessons from the American ...
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Keyword:
CHILDES; Corpus of Spoken Lithuanian; grammatical annotation; grammatical disambiguation; lexicon; Lithuanian.
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URL: https://dx.doi.org/10.5281/zenodo.1129916
https://zenodo.org/record/1129916
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Crowdsourcing lexical semantic judgements from bilingual dictionary users
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Desambiguación Verbal Automática: un estudio sobre el rendimiento de la información semántica argumental ; Verb Sense Disambiguation: a study about the performance of argumental semantic information
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| 87 |
Knowledge-driven entity recognition and disambiguation in biomedical text
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Evaluation of word embedding vector averaging functions for biomedical word sense disambiguation
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Unsupervised, knowledge-free, and interpretable word sense disambiguation
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In: EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (2017)
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| 90 |
Domain-specific Named Entity Disambiguation in Historical Memoirs
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| 91 |
Dalla Word Sense Disambiguation alla sintassi: il problema dell'articolo partitivo in italiano
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Uso de representaciones vectoriales de las palabras para la detección de dobles sentidos (puns)
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Approches d'analyse distributionnelle pour améliorer la désambiguïsation sémantique
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In: Journées internationales d'Analyse statistique des Données Textuelles (JADT) ; https://hal.archives-ouvertes.fr/hal-01477502 ; Journées internationales d'Analyse statistique des Données Textuelles (JADT), Jun 2016, Nice, France ; https://jadt2016.sciencesconf.org/ (2016)
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Ambiguity Diagnosis for Terms in Digital Humanities
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In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01423650 ; Language Resources and Evaluation Conference, May 2016, Portorož, Slovenia (2016)
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СИНТАКСИЧЕСКАЯ МНОГОЗНАЧНОСТЬ И НЕОДНОЗНАЧНОСТЬ В ПЕРСПЕКТИВЕ МАШИННОГО ПЕРЕВОДА
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Building Semantic Trees from XML Documents
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In: ISSN: 1570-8268 ; Journal of Web Semantics ; https://hal-univ-pau.archives-ouvertes.fr/hal-02079156 ; Journal of Web Semantics, Elsevier, 2016, 37-38, pp.1-24. ⟨10.1016/J.WEBSEM.2016.03.002⟩ (2016)
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Semantic Interoperability of Multilingual Lexical Resources in Lexical Linked Data ; Interopérabilité Sémantique Multi-lingue des Ressources Lexicales en Données Liées Ouvertes
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In: https://tel.archives-ouvertes.fr/tel-01681358 ; Informatique et langage [cs.CL]. Université Grenoble Alpes, 2016. Français. ⟨NNT : 2016GREAM067⟩ (2016)
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Using Domain Ontologies for Classification and Semantic Interpretation of Documents
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In: Proceedings of ALLDATA 2016 ; International Workshop on Knowledge Extraction and Semantic Annotation (KESA 2016) in ALLDATA 2016 : 2nd International Conference on Big Data, Small Data, Linked Data and Open Data ; https://hal.archives-ouvertes.fr/hal-01535945 ; International Workshop on Knowledge Extraction and Semantic Annotation (KESA 2016) in ALLDATA 2016 : 2nd International Conference on Big Data, Small Data, Linked Data and Open Data, Feb 2016, Lisbon, Portugal. pp. 76-81 (2016)
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Automatic processing of Tunisian dialect: construction of linguistic resources ; TRAITEMENT AUTOMATIQUE DU DIALECTE TUNISIEN : CONSTRUCTION DE RESSOURCES LINGUISTIQUES
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In: https://hal.archives-ouvertes.fr/tel-02869866 ; Informatique et langage [cs.CL]. Université de Sfax (Tunisie), 2016. Français (2016)
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Prosodic disambiguation and attachment height
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In: Speech Prosody 8 ; https://halshs.archives-ouvertes.fr/halshs-01422841 ; Speech Prosody 8, May 2016, Boston, United States. pp.1176-1180 (2016)
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