CSTParser

CSTParser is a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.

Resource Type:Tool / Service
Language:Portuguese
CRPC-Quotations

Database with 2.253 citations extracted from the Corpus de Referência do Português Contemporâneo - CRPC (Reference Corpus of Contemporary Portuguese) and manually revised. Format: tab separated file Fields: - context number - source file id - citation

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CRPC-Named Entity Recognizer

A NER-classifier based on memory-based learning, trained on the CINTIL dataset, a corpus that contains part of the Corpus de Referência do Português Contemporâneo - CRPC (Reference Corpus of Contemporary Portuguese). https://portulanclarin.net/repository/browse/cintil-corpus-internacional-do-por...

Resource Type:Tool / Service
Language:Portuguese
CRPC Discourse Bank v1.0

The CRPC Discourse Bank is labeled for discourse relations (also referred to as rhetorical relations or coher- ence relations), such as cause and condition, that hold between two spans of text and contribute to ensure the overall cohesion and coherence of the text. The scheme follows the principl...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Croatian-English parallel corpus from the website of the Croatian Journal of Fisheries (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Croatian-English parallel corpus from the website of the...

Resource Type:Corpus
Media Type:Text
Languages:Croatian
English
Croatian-English corpus with the Rural Development Programme for the Period 2014-2020 from the Croatian Rural Development Programme website (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Croatian-English corpus with the Rural Development Progr...

Resource Type:Corpus
Media Type:Text
Languages:Croatian
English
Croatian-English corpus with studies on the challenges to the Croatian Accession to the European Union from the Croatian Institute of Public Finance website (Processed)  

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Croatian-English corpus with studies on the challenges t...

Resource Type:Corpus
Media Type:Text
Languages:Croatian
English
Croatian-English corpus with statistical reports and studies from the Croatian Bureau of Statistics website (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Croatian-English corpus with statistical reports and stu...

Resource Type:Corpus
Media Type:Text
Languages:Croatian
English
Croatian-English corpus with Acts on Biological and Landscape Diversity and Environmental Protection (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Croatian-English corpus with Acts on Biological and Land...

Resource Type:Corpus
Media Type:Text
Languages:Croatian
English
COVID-19 Parallel Global Voices dataset. Bilingual (EN-PT)

EN-PT Bilingual COVID-19-related corpus acquired from the website (https://globalvoices.org/) of GlobalVoices (28th April 2020)

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese

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