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  • Catalog Reference : ELRA-W0050
    The CINTIL Corpus – International Corpus of Portuguese
    CINTIL-Corpus Internacional do Português is a linguistically interpreted written and spoken corpus of European Portuguese. It is composed of one million annotated tokens, each one of which verified by human expert annotators. The annotation comprises information on part-of-speech, open class lemma and inflection, multi-word expressions pertaining to the class of adverbs and to the closed POS classes, and multi-word proper names (for named entity recognition).

    The corpus is developed over raw textual materials of several types, of which 30% are spoken materials. This spoken subcorpus includes materials from several registers (ranging from formal to informal) and several communicative situations (e.g. phone calls, media broadcasts, conversations, monologues, formal exposition, etc.). The CINTIL corpus comprises the transcriptions of spoken texts but does not include the sound files with the recorded interviews. The remaining subcorpus is composed of written texts from several genres: newspaper, books, magazines, journals and miscellaneous (proceedings, dissertations, pamphlets, etc.). A detailed overview of the corpus composition is presented below:

    • Written = 689,124 tokens:
    o News: 58.7% - 404,690 tokens
    o Fiction: 29% - 200,194 tokens
    o Other: 12.2% - 84,240 tokens
    • Spoken = 502,622 tokens:
    o Informal/Private: 43.2% - 217,604 tokens
    o Informal/Public: 9.5% - 48,221 tokens
    o Informal/Phone: 0.4% - 2,287 tokens
    o Formal/Natural: 19.3% - 97,499 tokens
    o Formal/Media: 17.6% - 88,727 tokens
    o Formal/Phone: 9.6% - 48,284 tokens
    • Total = 1,191,746 tokens

    Linguistic information:
    The corpus associates to raw text linguistic information of different nature and from different levels of sophistication. This information is encoded under the usual format of tags, checked for their accuracy by trained linguists, covering four levels of information:
    • Segmentation: The boundaries of each sentence are tagged and every token is circumscribed by blanks. Contractions are expanded, clitics in enclisis and mesoclisis are detached into autonomous tokens, and punctuation is associated with explicit information concerning the blanks surrounding them in the raw version. Multi-word expressions from some POS classes (e.g. Conjunctions, Prepositions, etc) are identified as forming a lexical unit.
    • POS: By means of POS tags, each token is associated with the indication of its morpho-syntactic category.
    • Inflection: Information concerning inflectional morphology: every inflected token is associated with the corresponding lemma, and with explicit information encoding their values for Mood, Tense, Person and Number, if they are from verbal classes, or Number and Gender if they are nominals. Nominals include also information about their degree, namely superlative for Adjectives, and diminutive for both Adjectives and Nouns.
    • Multiword Lexical Units (MWU) for Named Entity Recognition (NER): Delimitation and classification of multi-word expressions for Named Entities following the usual IOB tagging schema for NER, and the typical classes of Number, Date, Person, Location, etc.

    The annotation manual is provided together with the corpus.

    The corpus can be browsed online: http://cintil.ul.pt/
    Technical Information
    Compression : None
    Distribution medium : CD-ROM
    Platform : PC#Unix#Macintosh
    Fileformat : Plain text
    Contents Click on the arrow to display content.
    written corpus 
    Resource files
  • ICON_FILE_DOWNLOAD TEXT_DATABASE_DESIGN : Tagset information
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    Members Prices
    Academic - Commercial 10000.00 EUR
    Academic - Research 250.00 EUR
    Commercial - Commercial 10000.00 EUR
    Commercial - Research 10000.00 EUR
    Non Member Prices
    Academic - Commercial 15000.00 EUR
    Academic - Research 250.00 EUR
    Commercial - Commercial 15000.00 EUR
    Commercial - Research 15000.00 EUR

    Copyright © 2008 ELRA
    ELRACatalogue 0.8.0