The CINTIL Corpus – International Corpus of Portuguese

registration: 2013/01/09 00:07:25, last modified: 2017/04/26 08:45:33
title
  • The CINTIL Corpus – International Corpus of Portuguese
title.abbreviation
title.alternative
  • CINTIL Corpus
  • CINTIL - Corpus Internacional do Português
creator
  • researcher the REPORT Group of CLUL-Centro de Linguística da Universidade de Lisboa, the University of Lisbon
  • researcher António Branco, FCUL-Faculdade de Ciências da Universidade de Lisboa
  • researcher Maria Fernanda Bacelar do Nascimento, CLUL-Centro de Linguística da Universidade de Lisboa
subject
  • linguistically interpreted written and spoken corpus
subject.linguisticField
  • computational_linguistics
  • discourse_analysis
  • morphology
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus
description
  • Written Corpora
    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/
description.price *This metadata is only as a guide
description.language
  • English
  • Portuguese
description.inputDevice
description.inputEnvironment
description.speakingStyle
description.speechMode
description.samplingRate
description.additionalData
publisher
  • ELRA (European Language Resources Association)
contributor
  • sponsor FCT-Fundação para a Ciência e Tecnologia (POSI/PLP/47058/2002)
contributor.attribute.author.motherTongue
contributor.attribute.author.dialect
contributor.attribute.author.level
contributor.attribute.author.age
contributor.attribute.author.gender
contributor.attribute.speaker.motherTongue
contributor.attribute.speaker.dialect
contributor.attribute.speaker.level
contributor.attribute.speaker.age
contributor.attribute.speaker.gender
contributor.attribute.speaker.number
date.created
date.issued
  • 2009-06-08
date.modified
  • 2009-06-09
type
  • Text
type.discourseType
  • interactive_discourse
  • drama
  • report
  • narrative
type.linguisticType
  • primary_text
type.purpose
  • analysis For providing an enhanced resource for the research on the linguistics of Portuguese
  • developing_technologies For providing an enhanced resource for the development of language technology
type.style
  • speech formal and informal speeches, phone calls, media broadcasts, conversations, monologues, formal exposition, and others
  • written news, fiction, and others
type.form
  • unfixed
type.sentence
  • short
  • long
type.annotation
  • annotated part-of-speech, open class lemma and inflection, multi-word expressions pertaining to the class of adverbs and to the closed POS classes, multi-word proper names
type.annotationSample
type.sample
format.extent
  • Total number of tokens : 1,191,746 tokens
  • From written materials : 689,124 tokens
  • From spoken materials : 502,622 tokens
format.medium
  • CD-ROM
  • file format: plain text files
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 176-775-844-396-0
source
language
  • Portuguese European Portuguese
language.area
  • Europe
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
coverage.spacial
  • Portugal
rights
  • Rights available for: Research Use, Commercial Use