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Enregistrement W2016768476 · doi:10.1353/lan.2011.0017

Corpus analysis and variation in linguistics. Ed. by Yuji Kawaguchi, Makoto Minegishi, and Jacques Durand. (Tokyo University of Foreign Studies, Studies in linguistics 1.) Amsterdam: John Benjamins, 2009. Pp. vi, 399. ISBN 9789027207685. $143 (Hb).

2011· article· en· W2016768476 sur OpenAlexaboutno aff
Hans Basbøll

Notice bibliographique

RevueLanguage · 2011
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueSyntax, Semantics, Linguistic Variation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLinguisticsTurkishCorpus linguisticsVariation (astronomy)GermanContrastive linguisticsApplied linguisticsSociologyHistoryPhilosophy

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Corpus analysis and variation in linguistics Hans Basbøll Corpus analysis and variation in linguistics. Ed. by Yuji Kawaguchi, Makoto Minegishi, and Jacques Durand. (Tokyo University of Foreign Studies, Studies in linguistics 1.) Amsterdam: John Benjamins, 2009. Pp. vi, 399. ISBN 9789027207685. $143 (Hb). This volume consists of nineteen scholarly articles, all written in English, preceded by two prefaces and an informative introduction by the editors. The book reports on an international symposium hosted by the Global Center of Excellence program ‘Corpus-based Linguistics and Language Education’ at Tokyo University of Foreign Studies. The twenty-three contributors are affiliated with institutions in Canada, France, Germany, Japan, Singapore, and Turkey. The volume is structured according to the language data analyzed: first a general paper (Durand), followed by five papers treating English data (Chambers; Tono; Pakir; Ooi; Ishii), one on German data (Geyken, Didakowski, and Siebert), two on French (Martineau; Detey), one on English/ French (Yazu), two on Spanish (Ueda; Ueda, Takagaki, and Tinoco), two on Turkish (Özsoy; Kawaguchi), one on Swahili (Abe), one on Malay (Uzawa), and three on Japanese (Shibuya; Abe; Kobayakawa and Umino). Common to the contributions is an interest in (i) linguistic (including psycho- and sociolinguistic) analyses, (ii) (generally large) language corpora, and (iii) an educational perspective. Each contribution varies in its focus on one or two of these three aspects, but there is a unity in the view of data as crucial in science (see, for example, the passages in the long quotation from Goldsmith 2005:724 given as introduction to Durand’s paper: ‘no data, no science’ and ‘there is no right theory to speak of except insofar as theory is united with data’). First, I comment on four articles that seem to me particularly interesting from a general linguistic point of view, but other papers (mentioned below) could also have been selected. Jacques Durand’s paper, ‘On the scope of linguistics: Data, intuitions, corpora’ (25–52), takes its point of departure in the ‘Chomskyan turn’ (26). As Durand rightly says, ‘one could, of course, agree with Chomsky that the object of linguistics is the study of cognitive systems internalized by speakers-hearers and disagree on the idea that it cannot be accounted for by general mechanisms available to humans in other domains’ (27). The other serious issue here is whether the methods used in the Chomskyan paradigm are capable—in principle and in practice—of answering the cognitive questions mentioned. Durand presents an interesting discussion of central problems in the Chomskyan attitude toward data and descriptions in linguistics, as echoed in the following quotation: ‘Chomsky is much more the inheritor of the structuralist tradition [than] he acknowledges’ (41) (this has been a common view among European linguists for decades, despite n. 6 on p. 41). Durand gives two convincing test cases from French (derivations with -able and liaison) showing that corpus analysis is necessary to reach the correct linguistic description. On the whole, his paper is, in my view, a well-balanced discussion of the relation between data, intuitions (which he argues are still much needed), and corpora, as well as how they interact with linguistic theory. Two important papers combine a psycholinguistic and an educational perspective. J. K. Chambers’s ‘Education and the enforcement of Standard English’ (53–66) investigates accusative nonaccord (in cases like between you and I vs. between you and me) and shows that the nonstandard form (with I) is neither a stylistic nor (in general) a geographical variant (nor does it represent an ongoing change). Instead, it is correlated with level of education, and Chambers explains it psycholinguistically: ‘In the course of casual conversation, it is evidently a strain on the cognitive system to keep track of the scope of the case to the second conjunct’ (63). He further elaborates that concord and agreement rules are typical of standard languages (that are enforced through the educational system). In ‘Phonetic input, phonological categories and orthographic representations:Apsycholinguistic perspective on why language education needs oral corpora’ (179–200), Sylvain Detey argues (by overviewing some experiments) for the importance of fine phonetic detail for language processing and acquisition. He concludes, convincingly in my view, that learners...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,117

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0050,010
Études des sciences et des technologies0,0010,003
Communication savante0,0050,009
Science ouverte0,0010,003
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0350,020

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,251
Écart entre enseignants0,221 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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