The<i>Corpus de référence du français contemporain</i>(CRFC) as the first genre-diverse mega-corpus of French

Siepmann, Dirk; Bürgel, Christoph; Diwersy, Sascha

doi:10.1093/ijl/ecv043

Int J Lexicography

2015

DOI: 10.1093/ijl/ecv043

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TheCorpus de référence du français contemporain(CRFC) as the first genre-diverse mega-corpus of French

Dirk Siepmann¹,

Christoph Bürgel²,

Sascha Diwersy³

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Cited by 3 publications

(1 citation statement)

References 9 publications

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“…According to the large number of criteria extensively discussed for general language corpora (e.g Sinclair 1991;Kennedy 1998;Siepmann et al 2017)…”

mentioning

confidence: 99%

How to build a corpus for a tool-based approach to determinologisation in the field of particle physics

Humbert-Droz

Picton

Condamines

2019

RiCL

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This paper discusses corpus design and building issues when dealing with a complex, multidimensional phenomenon such as determinologisation. Its representation in corpus data imposes an original reflection on the process and on some essential concepts of corpus building. This paper focuses on the necessity of representing the progressive aspects of determinologisation in the corpus, i.e. through levels of specialisation and through time, and the practical issues this raises. At the same time, it shows that a representative corpus of determinologisation in a specific domain (in this case, particle physics) implies clear and objective criteria when it comes to picking individual texts. Four principles are established to this end. The discussion leads to the proposal of a solid text selection procedure, which ensures that the peculiarities of determinologisation in the domain of particle physics are reflected in the corpus.

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“…According to the large number of criteria extensively discussed for general language corpora (e.g Sinclair 1991;Kennedy 1998;Siepmann et al 2017)…”

mentioning

confidence: 99%

How to build a corpus for a tool-based approach to determinologisation in the field of particle physics

Humbert-Droz

Picton

Condamines

2019

RiCL

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LeCorpus de référence du français contemporain(CRFC), un corpus massif du français largement diversifié par genres

Siepmann

Bürgel

Diwersy

2016

SHS Web of Conferences

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Résumé. Cet article porte sur le Corpus de référence du français contemporain (ci-après abrégé en CRFC), un nouveau corpus qui, tout en présentant une taille considérable, vise, dans sa conception, à un équilibre en termes de genres textuels. La première version du corpus, qui sera enrichi au fur et à mesure de la disponibilité de nouveaux documents, compte 310 millions de mots du français tel qu'il se parle et s'écrit en France pour une période comprise entre 1945 et 2014, avec plus de 90 % de textes remontant aux deux dernières décennies. Ce corpus est destiné à représenter la langue française de telle manière qu'il réponde aux besoins des apprenants, des enseignants et des chercheurs en français contemporain.Abstract. The Corpus de référence du français contemporain (CRFC) is a new purposebuilt genre-diverse corpus for investigating modern French. The 310-million-word corpus is the first collection of French to incorporate a substantial amount of spontaneous speech (approx. 30 m words) and 'pseudo-spoken' data (approx. 125 m words); it is evenly divided between spoken/pseudo-spoken and written sources. The present article discusses major issues relating to the design of the corpus and the sources used in compiling it.

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Web, corpus, traduction : l’exploitation par les traducteurs des données du web

Loock¹

2017

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TheCorpus de référence du français contemporain(CRFC) as the first genre-diverse mega-corpus of French

Cited by 3 publications

References 9 publications

How to build a corpus for a tool-based approach to determinologisation in the field of particle physics

How to build a corpus for a tool-based approach to determinologisation in the field of particle physics

LeCorpus de référence du français contemporain(CRFC), un corpus massif du français largement diversifié par genres

Web, corpus, traduction : l’exploitation par les traducteurs des données du web

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