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Start Over Language Persian Rights Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Original context has metadata only false

1. C4Corpus (CC BY-NC-ND part)

Creator:
Gurevych, Iryna, Habernal, Ivan, and Zayed, Omnia
Publisher:
Technische Universität Darmstadt
Type:
text and corpus
Subject:
CommonCrawl, Creative Commons, Web corpus, and Amazon Web Services
Language:
Afrikaans, Arabic, Bengali, Bulgarian, Czech, Danish, German, Modern Greek (1453-), English, Estonian, Persian, Finnish, French, Gujarati, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Lithuanian, Malayalam, Marathi, Macedonian, Nepali (macrolanguage), Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Albanian, Swahili (macrolanguage), Swedish, Tamil, Telugu, Tagalog, Thai, Turkish, Ukrainian, Undetermined, Urdu, Vietnamese, and Chinese
Description:
A large web corpus (over 10 billion tokens) licensed under CreativeCommons license family in 50+ languages that has been extracted from CommonCrawl, the largest publicly available general Web crawl to date with about 2 billion crawled URLs.
Rights:
Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

2. Large-Scale Colloquial Persian 0.5

Creator:
Abdi Khojasteh, Hadi, Ansari, Ebrahim, and Bohlouli, Mahdi
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) and Institute for Advanced Studies in Basic Sciences (IASBS)
Type:
text and corpus
Subject:
PoS tagging, corpus, annotated corpus, multilingual, derivation, dependency parser, machine translation, informal language, spoken language, monolingual corpus, and bilingual corpus annotation
Language:
Persian, English, German, Czech, Italian, and Hindi
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).
Rights:
Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB