OLAC Record
oai:www.ldc.upenn.edu:LDC2024T05

Metadata
Title:Automatic Content Extraction for Portuguese
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Cunha, Luís Filipe, et al. Automatic Content Extraction for Portuguese LDC2024T05. Web Download. Philadelphia: Linguistic Data Consortium, 2024
Contributor:Cunha, Luís Filipe
Silvano, Purificação
Campos, Ricardo
Jorge, Alípio
Date (W3CDTF):2024
Date Issued (W3CDTF):2024-05-15
Description:*Introduction* Automatic Content Extraction for Portuguese (LDC2024T05) was developed at INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência and consists of automatic Brazilian Portuguese and European Portuguese translations of the English text and annotations in ACE 2005 Multilingual Training Corpus (LDC2006T06). ACE 2005 Multilingual Training Corpus was developed by LDC to support the Automatic Contract Extraction (ACE) program, specifically, by providing training data for the 2005 technology evaluation. It contains 1,800 files of mixed genre text in English, Arabic and Chinese annotated for entities, relations and events. The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form. Text genres included newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. *Data* The English data was partitioned into training, development and test sets. The documents were split into sentences and each event mention was assigned to its sentence. Source sentences and their annotations were translated into Brazilian Portuguese using Google Translate and into European Portuguese using DeepL Translate. An alignment algorithm and a parallel corpus word aligner were used to handle mismatches between translated annotations and their translated sentences. Files are presented in JSON format. *Samples* Please view these samples (JSON): Portuguese (Brazil) and Portuguese (Portugal). *Updates* None at this time.
Extent:Corpus size: 7296 KB
Identifier:LDC2024T05
https://catalog.ldc.upenn.edu/LDC2024T05
ISLRN: 802-512-969-698-4
DOI: 10.35111/8gr4-tn81
Language:Portuguese
Language (ISO639):por
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2024T05
Rights Holder:Portions © 2000-2003 Agence France Presse, © 2003 Cable News Network LP, LLLP, © 2003 New York Times, © 2003 The Associated Press, © 2000-2001, 2003 Xinhua News Agency, © 2024 Instituto de Engenharia de Sistemas e Computadores, Tecnologia a Ciência, © 2003, 2004, 2005, 2006, 2024 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2024T05
DateStamp:  2024-06-21
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Cunha, Luís Filipe; Silvano, Purificação; Campos, Ricardo; Jorge, Alípio. 2024. Linguistic Data Consortium.
Terms: area_Europe country_PT dcmi_Text iso639_por olac_primary_text


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Up-to-date as of: Fri Dec 6 7:49:17 EST 2024