MétaCan
Menu
Retour à la cohorte
Enregistrement W4393616842 · doi:10.5281/zenodo.2553356

The dative dataset of World Englishes

2018· dataset· en· W4393616842 sur OpenAlexaboutno aff
Melanie Röthlisberger

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2018
Typedataset
Langueen
DomaineArts and Humanities
ThématiqueLinguistics, Language Diversity, and Identity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDative caseComputer scienceLinguisticsPhilosophy

Résumé

récupéré en direct d'OpenAlex

<strong>This dataset is distributed under a Creative Commons Attribution Non Commercial 4.0 International license. Use for research purposes only!</strong> The dataset contains 13,171 variable double-object and prepositional datives extracted from the International Corpus of English series and the Corpus of Global web-based English sampling from nine national varieties of English: British English Canadian English New Zealand English Irish English Hong Kong English Philippine English Singapore English Indian English Jamaican English <strong>The dataframe contains the following columns:</strong> <strong>1 TokenID</strong>: Unique identifier for the individual token <strong>2 Variety</strong>: The variety from which the token is taken <strong>3 Nativity</strong>: Native or non-native variety of English (L1 vs. L2) <strong>4 Corpus</strong>: The corpus from which the token stems <strong>5 Subcorpus</strong>: Combination of Corpus and Variety <strong>6 FileID</strong>: ID of the corpus file in which the token was found. Format: VARIETY:FILENAME <strong>7 TextID</strong>: ID of the corpus text in which the token was found. Individual files in ICE can have multiple texts. Format: VARIETY:FILENAME:TEXTNUMBER <strong>8 LineID</strong>: ID of the line in the text in which the token sentence was found. Format: VARIETY:FILENAME:TEXTNUMBER:LINENUMBER <strong>9 SpeakerID</strong>: ID of the speaker of the sentence. Speakers in spoken texts are indicated with capital letters. Authors of written texts have ID ‘A’. Format: VARIETY:FILENAME:TEXTNUMBER:SPEAKERID <strong>10 UnitMarker</strong>: UnitMarker of the utterance in the text. Format UTTERANCE NUMBER:TEXTNUMBER:SPEAKERID <strong>11 GenreFine</strong>: 14-level distinction: The 12-level ICE sub-register in which the token was found and the two levels in GloWbE (blog vs. general). Levels: See ICE documentation <strong>12 GenreCoarse</strong>: 5-level distinction: The 4-level ICE register in which the token was found and GloWbE (online = 1 level). Levels: See ICE documentation <strong>13 Mode</strong>: The mode (‘spoken’, ‘written’) of the token. <strong>14 Register</strong>: The 4-level Register along two axes – spoken vs. written / informal vs. formal <strong>15 PriorContextPlain</strong>: The plain text version of the 100 words preceding the dative token. <strong>16 PriorContextTag</strong>: The POS-tagged version of the 100 words preceding the dative token. <strong>17 SentencePlain</strong>: The plain text version of the sentence containing the dative token. <strong>18 SentenceTag</strong>: The POS-tagged version of the sentence containing the dative token. <strong>19 WholeConstructionPlain</strong>: The plain text version of the VP containing the dative token (i.e. verb + object + object). <strong>20 WholeConstructionTag</strong>: The POS-tagged version of the VP containing the dative token. <strong>21 Verb</strong>: The lemma of the verbal head (<em>give </em>in <em>gave it some thought</em>) <strong>22 VerbForm</strong>: The verb form of the verbal head (<em>gave </em>in <em>gave it some thought</em>) <strong>23 RecipientShort</strong>: The short plain text version of the recipient without hesitations or repetitions <strong>24 ThemeShort</strong>: The short plain text version of the theme without hesitations or repetitions <strong>25 RecipientLong</strong>: The long plain text version of the recipient with hesitations or repetitions <strong>26 ThemeLong</strong>: The long plain text version of the theme with hesitations or repetitions <strong>27 RecHeadPlain</strong>: The plain text version of the recipient head <strong>28 RecHeadTag</strong>: The POS-tagged version of the recipient head <strong>29 RecHeadLemma</strong>: The lemma of the recipient head <strong>30 ThemeHeadPlain</strong>: The plain text version of the theme head <strong>31 ThemeHeadTag</strong>: The POS-tagged version of the theme head <strong>32 ThemeHeadLemma</strong>: The lemma of the theme head <strong>33 VerbThemeLemma</strong>: Combination of the verb lemma and the theme head. Format: VERB_THEME <strong>34 VerbSense</strong>: Semantics of the verb based on the whole construction combined with the verb lemma. Format: VERB.VERBSEMANTICS <strong>35 VerbSemantics</strong>: 5-level distinction of verb semantics (‘a’, ‘t’, ‘p’, ‘f’, ‘c’). <strong>36 Resp</strong>: The variant order. Levels: ‘do’ (=ditransitive), ‘pd’ (=prepositional) <strong>37 RecAnimacy</strong>: 6-level distinction of recipient animacy following previous research: human (a1) &gt; animal (a2) &gt; collective (c) &gt; locative (l) &gt; temporal (t) &gt; inanimate (i) <strong>38 ThemeAnimacy</strong>: 6-level distinction of theme animacy following previous research: human (a1) &gt; animal (a2) &gt; collective (c) &gt; locative (l) &gt; temporal (t) &gt; inanimate (i) <strong>39 RecWordLth</strong>: Length of recipient NP in words <strong>40 RecLetterLth</strong>: Length of recipient NP in orthographic characters <strong>41 ThemeWordLth</strong>: Length of theme NP in words <strong>42 ThemeLetterLth</strong>: Length of theme NP in orthographic characters <strong>43 RecComplexity </strong> 15-level distinction of recipient complexity indicating type and number of posthead dependents, restricted to the ICE components. (GloWbE components make simplified distinction between ‘simple’ and ‘complex’). Levels: ‘s’ = simple (no postmodifications), ‘co’ = coordinated, ‘ge’ = general extender, ‘gn’ = genitive, ‘postad’ = postmodifying adverbial/adjective, ‘pp’ = modifying prepositional phrase, ‘appnom’ = nominal apposition, ‘rc’ = relative clause, ‘cp’ = complement clause, ‘advc’ = adverbial clause, ‘nonfin’ = nonfinite clause, ‘tpp’ = two nominal posthead dependents, ‘tvp’ = two posthead dependents involving at least one VP, ‘mpp’ = more than two nominal posthead dependents, ‘mvp’ = more than two posthead dependents involving at least one VP <strong>44 ThemeComplexity </strong> 15-level distinction of theme complexity indicating type and number of posthead dependents, restricted to the ICE components. (GloWbE components make simplified distinction between ‘simple’ and ‘complex’). Levels: ‘s’ = simple (no postmodifications), ‘co’ = coordinated, ‘ge’ = general extender, ‘gn’ = genitive, ‘postad’ = postmodifying adverbial/adjective, ‘pp’ = modifying prepositional phrase, ‘appnom’ = nominal apposition, ‘rc’ = relative clause, ‘cp’ = complement clause, ‘advc’ = adverbial clause, ‘nonfin’ = nonfinite clause, ‘tpp’ = two nominal posthead dependents, ‘tvp’ = two posthead dependents involving at least one VP, ‘mpp’ = more than two nominal posthead dependents, ‘mvp’ = more than two posthead dependents involving at least one VP <strong>45 RecNPExprType</strong>: Syntactic category of the recipient NP Levels: ‘dem’ = bare demonstrative; ‘nc’ = common noun; ‘np’ = proper noun; ‘pprn’ = personal pronoun; ‘iprn’ = impersonal pronoun; ‘rprn’ = reflexive pronoun; ‘vp’ = gerund (-ing) NP; ‘wh’ = NP headed by wh- word <strong>46 ThemeNPExprType</strong>: Syntactic category of the theme NP Levels: ‘dem’ = bare demonstrative; ‘nc’ = common noun; ‘np’ = proper noun; ‘pprn’ = personal pronoun; ‘iprn’ = impersonal pronoun; ‘rprn’ = reflexive pronoun; ‘vp’ = gerund (-ing) NP; ‘wh’ = NP headed by wh- word <strong>47 RecGivenness</strong>: Givenness of the recipient NP. Levels: ‘given’, ‘new’ <strong>48 ThemeGivenness</strong>: Givenness of the theme NP. Levels: ‘given’, ‘new’ <strong>49 RecDefiniteness</strong>: Definiteness of the recipient NP. Levels: ‘def’, ‘indef’ <strong>50 ThemeDefiniteness</strong>: Definiteness of the theme NP. Levels: ‘def’, ‘indef’ <strong>51 RecBinComplexity</strong>: Binary predictor of recipient complexity indicating following postmodifications after the head noun. Levels: ‘simple’, ‘complex’ <strong>52 ThemeBinComplexity</strong>: Binary predictor of theme complexity indicating following postmodifications after the head noun. Levels: ‘simple’, ‘complex’ <strong>53 RecPerson</strong>: Person of recipient. Levels: ‘local’, ‘non-local’ <strong>54 ThemeConcreteness</strong>: Concreteness of theme based on verb semantics. Levels: ‘concrete’, ‘non-concrete’ <strong>55 TypeTokenRatio</strong>: Type-token ratio of the 100 word context surrounding the token <strong>56 RecHeadFreq</strong>: Frequency of recipient head lemma in GloWbE <strong>57 ThemeHeadFreq</strong>: Frequency of theme head lemma in GloWbE <strong>58 RecThematicity</strong>: Normalized frequency of recipient head lemma in its text (per 2000 words) <strong>59 ThemeThematicity</strong>: Normalized frequency of theme head lemma in its text (per 2000 words) <strong>60 PrimeType</strong>: The response type of the preceding dative token, if any. Levels: ‘do, ‘pd, ‘NA’ <strong>61 Persistence</strong>: Indicates whether preceding dative token, if any, is the same or not. Levels: ‘none’, ‘yes’, ‘no’ <strong>62 SameUtterance</strong>: Indicates whether the preceding dative token occurred in the same utterance or not. Necessary for manual coding of persistence. <strong>63 DistanceToPrevious</strong>: Number of utterances between current and preceding dative token. ‘None’ if no preceding dative token. <strong>64 RecPron</strong>: Binary factor of recipient pronominality. Levels: ‘pron’, ‘non-pron’ <strong>65 ThemePron</strong>: Binary factor of theme pronominality: Levels: ‘pron’, ‘non-pron’ <strong>66 RecBinAnimacy</strong>: Binary factor of recipient animacy. Levels of RecAnimacy conflated to: ‘animate’, ‘inanimate’ <strong>67 ThemeBinAnimacy</strong>: Binary factor of theme animacy. Levels of ThemeAnimacy conflated to: ‘animate’, ‘inanimate’ <strong>68 logRecLetterLth</strong>: Natural logarithm of recipient length in orthographic characters <strong>69 logThemeLetterLth</strong>: Natural logarithm of theme length in orthographic characters <strong>70 WeightRatio</strong>: Ratio of object lengths: Recipient length in characters divided by theme length in characters <strong>71 logWeightRatio</

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)0,009
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0040,001
Communication savante0,0020,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0430,006

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 Opus0,051
Tête enseignante GPT0,251
Écart entre enseignants0,199 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

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
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueZenodo (CERN European Organization for Nuclear Research)Même sujetLinguistics, Language Diversity, and IdentityTravaux en français237 207