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Autore principale: Catalina Maranduc
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2016
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Accesso online:https://www.redalyc.org/articulo.oa?id=61547469009
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author Catalina Maranduc
author_facet Catalina Maranduc
contents Social Media – Processing Romanian Chat and Discourse Analysis Catalina Maranduc Cenel-Augusto Perez Radu Simionescu Computación social processing non standard texts discourse analysis dependency treebank In order to obtain a balanced corpus, a subcorpus of 2,576 sentences illustrating contemporary social media language has been added to the Dependency Treebank for Romanian. The texts were taken from the chat. The subject of this paper is to describe the second step of processing non-standard texts with a hybrid POS-tagger for Romanian and with a Malt parser, both until now trained on standard language and on other styles of communication. The results obtained show that the UAIC tools are comparable with the tools for other languages trained on similar corpora. Another purpose is to develop this resource, the Dependency Treebank for Romanian, not only quantitatively, doubling its dimension in a year, but also changing its format with a new one, compatible with other similar foreign corpora, and adding new, more complex annotation layers. A semantic layer and a discursive annotation will be added, permitting the study of discursive and conversational particularities. Finally, examples illustrating discursive particularities of the chat communication are discussed. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20
format Artículo científico
id redalyc_61547469009
language en
publishDate 2016
publisher Instituto Politécnico Nacional
spellingShingle Social Media – Processing Romanian Chat and Discourse Analysis
Catalina Maranduc
Computación
social
processing non
standard texts
discourse analysis
dependency treebank
Social Media – Processing Romanian Chat and Discourse Analysis Catalina Maranduc Cenel-Augusto Perez Radu Simionescu Computación social processing non standard texts discourse analysis dependency treebank In order to obtain a balanced corpus, a subcorpus of 2,576 sentences illustrating contemporary social media language has been added to the Dependency Treebank for Romanian. The texts were taken from the chat. The subject of this paper is to describe the second step of processing non-standard texts with a hybrid POS-tagger for Romanian and with a Malt parser, both until now trained on standard language and on other styles of communication. The results obtained show that the UAIC tools are comparable with the tools for other languages trained on similar corpora. Another purpose is to develop this resource, the Dependency Treebank for Romanian, not only quantitatively, doubling its dimension in a year, but also changing its format with a new one, compatible with other similar foreign corpora, and adding new, more complex annotation layers. A semantic layer and a discursive annotation will be added, permitting the study of discursive and conversational particularities. Finally, examples illustrating discursive particularities of the chat communication are discussed. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20
title Social Media – Processing Romanian Chat and Discourse Analysis
topic Computación
social
processing non
standard texts
discourse analysis
dependency treebank
url https://www.redalyc.org/articulo.oa?id=61547469009