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Record 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 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLanguage · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsTurkishCorpus linguisticsVariation (astronomy)GermanContrastive linguisticsApplied linguisticsSociologyHistoryPhilosophy

Abstract

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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...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.251
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it