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Enregistrement W330636268

Matti Rissanen, Marianna Hintikka, Leena Kahlas-Tarkka, Rod McConchie (Eds.). 2007. Change in Meaning and the Meaning of Change: Studies in Semantics and Grammar from Old to Present-Day English

2011· article· en· W330636268 sur OpenAlexaboutno aff
Rafał Molencki

Notice bibliographique

RevueStudia Anglica Posnaniensia: international review of English Studies · 2011
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueLexicography and Language Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMeaning (existential)LinguisticsGrammarCorpus linguisticsMiddle EnglishParsingHistorySyntaxArtificial intelligenceComputer sciencePsychologyPhilosophy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Matti Rissanen, Marianna Hintikka, Leena Kahlas-Tarkka, Rod McConchie (eds.). 2007. Change in meaning and the meaning of change: Studies in semantics and grammar from Old to Present-Day English. Memoires de la Societe Neophilologique de Helsinki LXXII. Helsinki: Societe Neophilologique. Pp. xvii, 377. The team of linguists affiliated with the English Department of the University of Helsinki have had a long tradition of diachronic corpus studies of English ever since they started compiling searchable text corpora in the early 1990s. A few years later they were organized into a special Research Unit for Variation, Contacts and Change in English (VARIENG), continuing their efforts in creating new corpora of dialectal and specialist texts. Owing to their pioneering work the community of English historical linguists all over the world had access to searchable, albeit limited, diachronic corpora long before the Toronto complete Dictionary of Old English Corpus and the University of Michigan Middle English Compendium became available. The Helsinki corpora also became the basis for the collection of tagged texts which are most useful for the exploration of English historical syntax: the York-Toronto-Helsinki Parsed Corpus of Old English, the Penn-Helsinki Parsed Corpus of Middle English and the Parsed Corpus of Early English Correspondence. Although much larger and more representative diachronic corpora of English texts are now accessible, the Helsinki corpora are still very valuable, providing basis for pilot studies which can be further extended with reference to the huge text databases now available. The volume under review is a good example of successful work that makes use of the Helsinki diachronic corpora database. The book is divided into two major parts. In the first one (Meaning and mind) we find six articles devoted to the semantic developments of content words discussed within the cognitive models of grammar, while the remaining six (Meaning and grammar) deal with various grammatical items analyzed from the point of view of the grammaticalization theory. The volume starts with an interesting paper of Agnes Kiricsi discussing the gradual shift of the metaphoric location of the mind from the heart in Old English to the head in later periods. The author very convincingly shows that the change is connected with the specialization of the word mod 'mood' accompanied by the generalization of gemynd 'mind'. The main reason, Kiricsi claims, was the culturally determined shift of the concept of mind from emotional to mental, at least partially influenced by the Latin tradition. What the author does not mention, however, are possible formal requirements of medieval English poetry such as the number of syllables and alliteration which may have been partially responsible for the statistical occurrence of the discussed items. She could have included a few more illustrating examples, also from the Anglo-Saxon prose. In the Middle English texts she should have taken into account the Scandinavian and the Anglo-Norman influences. Paivi Koivisto-Alanko uses the blending theory with reference to changing metaphoric senses of the word wit from Late Middle English to Present-Day English. The application of this semantic conceptual integration framework to the diachronic language material proves rewarding, yet we believe that apart from the corpus material, the author should have referred to the dictionary material, e.g. the Oxford English Dictionary and--especially--the Middle English Dictionary, where the respective entries for the noun w/t might have provided the starting point for the author's analysis. A similar remark can be applied to Helli Tessari's article about I fear/I am afraid, where the author should have consulted the Middle English Dictionary, which lists some slightly earlier occurrences of epistemic uses of I am afraid than those listed in the OED. Otherwise, the article is a very sound and meticulous analysis of the development of epistemic senses of these verbs, which strongly confirms the direction of change in the theory subjectification. …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,580
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,100
Tête enseignante GPT0,312
Écart entre enseignants0,211 · 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 tête enseignante, pas un consensus.

Devis d'étudeQualitatif
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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