Large-Scale Colloquial Persian 0.5

Name: Large-Scale Colloquial Persian 0.5
License: http://creativecommons.org/licenses/by-nc-nd/4.0/

Abdi Khojasteh, Hadi; Ansari, Ebrahim; Bohlouli, Mahdi

dc.contributor.author	Abdi Khojasteh, Hadi
dc.contributor.author	Ansari, Ebrahim
dc.contributor.author	Bohlouli, Mahdi
dc.date.accessioned	2020-03-18T10:44:43Z
dc.date.available	2020-03-18T10:44:43Z
dc.date.issued	2020-02-02
dc.identifier.uri	http://hdl.handle.net/11234/1-3195
dc.description	"Large Scale Colloquial Persian Dataset" (LSCP) is hierarchically organized in asemantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem. LSCP includes 120M sentences from 27M casual Persian tweets with its dependency relations in syntactic annotation, Part-of-speech tags, sentiment polarity and automatic translation of original Persian sentences in five different languages (EN, CS, DE, IT, HI).
dc.language.iso	fas
dc.language.iso	eng
dc.language.iso	deu
dc.language.iso	ces
dc.language.iso	ita
dc.language.iso	hin
dc.publisher	Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.publisher	Institute for Advanced Studies in Basic Sciences (IASBS)
dc.relation.isreferencedby	https://arxiv.org/abs/2003.06499
dc.rights	Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.uri	https://iasbs.ac.ir/~ansari/lscp/
dc.subject	PoS tagging
dc.subject	corpus
dc.subject	annotated corpus
dc.subject	multilingual
dc.subject	derivation
dc.subject	dependency parser
dc.subject	machine translation
dc.subject	informal language
dc.subject	spoken language
dc.subject	monolingual corpus
dc.subject	bilingual corpus annotation
dc.title	Large-Scale Colloquial Persian 0.5
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
dc.rights.label	PUB
has.files	yes
branding	LINDAT / CLARIAH-CZ
contact.person	Ebrahim Ansari ansari@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
contact.person	Ebrahim Ansari ansari@iasbs.ac.ir Institute for Advanced Studies in Basic Sciences (IASBS)
contact.person	Hadi Abdi Khojasteh hadiabdikhojasteh@gmail.com Institute for Advanced Studies in Basic Sciences (IASBS)
sponsor	Czech Science Foundation 19-26934X Neural Representations in Multi-modal and Multi-lingual Modelling nationalFunds
size.info	120000000 sentences
size.info	19.6 gb
files.size	2669457416
files.count	9