oai:www.ldc.upenn.edu:LDC2018T19
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OLAC Record oai:www.ldc.upenn.edu:LDC2018T19 |
| Metadata | ||
| Title: | BOLT English SMS/Chat | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Chen, Song, et al. BOLT English SMS/Chat LDC2018T19. Web Download. Philadelphia: Linguistic Data Consortium, 2018 | |
| Contributor: | Chen, Song | |
| Fore, Dana | ||
| Strassel, Stephanie | ||
| Lee, Haejoong | ||
| Wright, Jonathan | ||
| Date (W3CDTF): | 2018 | |
| Date Issued (W3CDTF): | 2018-08-15 | |
| Description: | *Introduction* BOLT English SMS/Chat was developed by the Linguistic Data Consortium (LDC) and consists of naturally-occurring Short Message Service (SMS) and Chat (CHT) data collected through data donations and live collection involving native speakers of English. The corpus contains 18,429 conversations totaling 3,674,802 words across 375,967 messages. The BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference. *Data* The data in this release was collected using two methods: new collection via LDC's collection platform and donation of SMS or chat archives from BOLT collection participants. All data collected were reviewed manually to exclude any messages/conversations that were not in the target language or that had sensitive content, such as personal identifying information (PII). All data is presented in UTF-8 XML. *Acknowledgement* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Samples* Please view this sample. *Updates* None at this time. | |
| Extent: | Corpus size: 179792 KB | |
| Identifier: | LDC2018T19 | |
| https://catalog.ldc.upenn.edu/LDC2018T19 | ||
| ISBN: 1-58563-856-0 | ||
| ISLRN: 204-077-773-055-9 | ||
| DOI: 10.35111/hkfc-7865 | ||
| Language: | English | |
| Language (ISO639): | eng | |
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Provenance: | Collected by the Linguistic Data Consortium (LDC) in Philadelphia, PA, USA. | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2018T19 | |
| Rights Holder: | Portions © 2018 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| 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 |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2018T19 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Chen, Song; Fore, Dana; Strassel, Stephanie; Lee, Haejoong; Wright, Jonathan. 2018. Linguistic Data Consortium. | |
| Terms: | area_Europe country_GB dcmi_Text iso639_eng olac_primary_text | |