Resources / corpora / l / zh

 
 

Resources

  • 2005 NIST Speaker Recognition Evaluation Training Data
    2005 NIST Speaker Recognition Evaluation Training Data consists of 392 hours of conversational telephone speech in English, Arabic, Mandarin Chinese, Russian and Spanish and associated English transcripts used as training data in the NIST-sponsored 2005 Speaker Recognition Evaluation (SRE).
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  • 2006 NIST Spoken Term Detection Development Set
    2006 NIST Spoken Term Detection Development Set contains approximately eighteen hours of Arabic, Chinese and English broadcast news, English conversational telephone speech and English meeting room speech used in NIST's 2006 Spoken Term Detection (STD) evaluation.
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  • Chinese Proposition Bank
    Chinese Proposition Bank 2.0 is a continuation of the Chinese Propostion Bank project, which aims to create a corpus of Chinese text annotated with information about basic semantic propositions.
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  • Chinese Treebank
    The Chinese Treebank, started at University of Pennsylvania, is a segmented, part-of-speech tagged, and fully bracketed corpus that currently has 780 thousand words (over 1.28 Million Chinese characters).
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  • CoNLL 2012 ST data set
    The CoNLL 2012 Shared Task data set uses a subset of the OntoNotes-5.0 corpus.
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  • MUC 6
    This publication contains the complete set of English, Arabic and Chinese training data for the 2005 Automatic Content Extraction (ACE) technology evaluation. The corpus consists of data of various types annotated for entities, relations and events was created by Linguistic Data Consortium with support from the ACE Program, with additional assistance from LDC. This data was previously distributed as an e-corpus (LDC2005E18) to participants in the 2005 ACE evaluation.
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  • OntoNotes
    The goal of the OntoNotes project is to annotate a large corpus comprising various genres of text (news, conversational telephone speech, weblogs, use net, broadcast, talk shows) in three languages (English, Chinese, and Arabic) with structural information (syntax and predicate argument structure) and shallow semantics (word sense linked to an ontology and coreference).
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  • Reuters Corpus
    A collection of Reuters newswire texts, sorted by months.
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  • Unified Linguistic Annotation Text Collection
    The Unified Linguistic Annotation (ULA) project seeks to integrate into one framework different layers of annotation (e.g., semantics, discourse, temporal, opinions) using various existing resources, including PropBank, NomBank, TimeBank, Penn Discourse Treebank and coreference and opinion annotations. The Unified Linguistic Annotation Text Collection consists of two separate corpora: The Language Understanding Annotation Corpus (LDC2009T10) and REFLEX EntityTranslation Training/DevTest (LDC2009T11).
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