oai:www.ldc.upenn.edu:LDC2017T01
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OLAC Record oai:www.ldc.upenn.edu:LDC2017T01 |
| Metadata | ||
| Title: | MWE-Aware English Dependency Corpus | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Kato, Akihiko, Hiroyuki Shindo, and Yuji Matsumoto. MWE-Aware English Dependency Corpus LDC2017T01. Web Download. Philadelphia: Linguistic Data Consortium, 2017 | |
| Contributor: | Kato, Akihiko | |
| Shindo, Hiroyuki | ||
| Matsumoto, Yuji | ||
| Date (W3CDTF): | 2017 | |
| Date Issued (W3CDTF): | 2017-01-19 | |
| Description: | *Introduction* MWE-Aware English Dependency Corpus was developed by the Nara Institute of Science and Technology Computational Linguistics Laboratory and consists of English compound function words annotated in dependency format. The data is derived from OntoNotes Release 5.0 (LDC2013T19). Compound function words are a type of multiword expression (MWE). MWEs are groups of tokens that can be treated as a single semantic or syntactic unit. Doing so facilitates natural language processing tasks such as constituency and dependency parsing. Version 2.0 is available from LDC as MWE-Aware English Dependency Corpus 2.0 (LDC2017T16) *Data* MWE-Aware English Dependency Corpus was derived from the Wall Street Journal portion of OntoNotes Release 5.0. MWEs were identified in OntoNotes' phrase structure trees and each MWE was established as a single subtree. Those phrase structure subtrees were then converted to a dependency structure (the Stanford dependencies) in CoNLL format. The data is split into 1,728 phrase structure trees as *.parse files and a single 14-column tab separated dependency as a *.conll file. Both file types are encoded as UTF-8. *Samples* Please view this sample. *Updates* None at this time. | |
| Extent: | Corpus size: 575824 KB | |
| Identifier: | LDC2017T01 | |
| https://catalog.ldc.upenn.edu/LDC2017T01 | ||
| ISBN: 1-58563-782-3 | ||
| ISLRN: 484-489-597-064-0 | ||
| DOI: 10.35111/2zpz-q591 | ||
| 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 | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2017T01 | |
| Rights Holder: | Portions © 1987-1989 Dow Jones & Company, Inc. © 2017 NAIST Computational Linguistics Laboratory, © 2007, 2008, 2009, 2011, 2013, 2017 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:LDC2017T01 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Kato, Akihiko; Shindo, Hiroyuki; Matsumoto, Yuji. 2017. Linguistic Data Consortium. | |
| Terms: | area_Europe country_GB dcmi_Text iso639_eng olac_primary_text | |