Matches in ScholarlyData for { ?s ?p ?o. }
- 365 type InProceedings.
- 365 label "From D-Coi to SoNaR: a reference corpus for Dutch".
- 365 sameAs 365.
- 365 abstract "The computational linguistics community in The Netherlands and Belgium has long recognized the dire need for a major reference corpus of written Dutch. In part to answer this need, the STEVIN programme was established. To pave the way for the effective building of a 500-million-word reference corpus of written Dutch, a pilot project was established. The Dutch Corpus Initiative project or D-Coi was highly successful in that it not only realized about 10% of the projected large reference corpus, but also established the best practices and developed all the protocols and the necessary tools for building the larger corpus within the confines of a necessarily limited budget. We outline the steps involved in an endeavour of this kind, including the major highlights and possible pitfalls. Once converted to a suitable XML format, further linguistic annotation based on the state-of-the-art tools developed either before or during the pilot by the consortium partners proved easily and fruitfully applicable. Linguistic enrichment of the corpus includes PoS tagging, syntactic parsing and semantic annotation, involving both semantic role labeling and spatiotemporal annotation. D-Coi is expected to be followed by SoNaR, during which the 500-million-word reference corpus of Dutch should be built.".
- 365 hasAuthorList authorList.
- 365 hasTopic Linguistics.
- 365 isPartOf proceedings.
- 365 keyword "Corpus (creation, annotation, etc.)".
- 365 keyword "LR national/international projects, organizational/policy issues".
- 365 keyword "Standards for LRs".
- 365 title "From D-Coi to SoNaR: a reference corpus for Dutch".
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- item-1 hasContent nelleke-oostdijk.
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- item-2 hasContent martin-reynaert.
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- item-3 hasContent paola-monachesi.
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- item-4 hasContent gertjan-van-noord.
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- item-5 hasContent roeland-ordelman.
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- item-6 hasContent ineke-schuurman.
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- item-7 hasContent vincent-vandeghinste.
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- 366 creator catia-cucchiarini.
- 366 creator eric-sanders.
- 366 creator hugo-van-hamme.
- 366 creator joris-driesen.
- 366 type InProceedings.
- 366 label "Recording Speech of Children, Non-Natives and Elderly People for HLT Applications: the JASMIN-CGN Corpus.".
- 366 sameAs 366.
- 366 abstract "Within the framework of the Dutch-Flemish programme STEVIN, the JASMIN-CGN (Jongeren, Anderstaligen en Senioren in Mens-machine Interactie Corpus Gesproken Nederlands) project was carried out, which was aimed at collecting speech of children, non-natives and elderly people. The JASMIN-CGN project is an extension of the Spoken Dutch Corpus (CGN) along three dimensions. First, by collecting a corpus of contemporary Dutch as spoken by children of different age groups, elderly people and non-natives with different mother tongues, an extension along the age and mother tongue dimensions was achieved. In addition, we collected speech material in a communication setting that was not envisaged in the CGN: human-machine interaction. One third of the data was collected in Flanders and two thirds in the Netherlands. In this paper we report on our experiences in collecting this corpus and we describe some of the important decisions that we made in the attempt to combine efficiency and high quality.".
- 366 hasAuthorList authorList.
- 366 hasTopic Linguistics.
- 366 isPartOf proceedings.
- 366 keyword "Corpus (creation, annotation, etc.)".
- 366 keyword "Other".
- 366 keyword "Speech resource/database".
- 366 title "Recording Speech of Children, Non-Natives and Elderly People for HLT Applications: the JASMIN-CGN Corpus.".
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- item-1 hasContent catia-cucchiarini.
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- item-2 hasContent joris-driesen.
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- item-3 hasContent hugo-van-hamme.
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- item-4 hasContent eric-sanders.
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- 368 creator andreas-witt.
- 368 creator daniela-goecke.
- 368 creator maik-stuehrenberg.
- 368 type InProceedings.
- 368 label "Influence of Text Type and Text Length on Anaphoric Annotation".
- 368 sameAs 368.
- 368 abstract "We report the results of a study that investigates the agreement of anaphoric annotations. The study focuses on the influence of the factors text length and text type on a corpus of scientific articles and newspaper texts. In order to measure inter-annotator agreement we compare existing approaches and we propose to measure each step of the annotation process separately instead of measuring the resulting anaphoric relations only. A total amount of 3,642 anaphoric relations has been annotated for a corpus of 53,038 tokens (12,327 markables). The results of the study show that text type has more influence on inter-annotator agreement than text length. Furthermore, the definition of well-defined annotation instructions and coder training is a crucial point in order to receive good annotation results.".
- 368 hasAuthorList authorList.
- 368 hasTopic Linguistics.
- 368 isPartOf proceedings.
- 368 keyword "Anaphora, Coreference".
- 368 keyword "Corpus (creation, annotation, etc.)".
- 368 keyword "Validation of LRs".
- 368 title "Influence of Text Type and Text Length on Anaphoric Annotation".
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