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doi:10.22028/D291-38096
Titel: | Data convergence in syntactic theory and the role of sentence pairs |
VerfasserIn: | Juzek, Tom S. Häussler, Jana |
Sprache: | Englisch |
Titel: | Zeitschrift für Sprachwissenschaft |
Bandnummer: | 39 |
Heft: | 2 |
Seiten: | 109-147 |
Verlag/Plattform: | De Gruyter |
Erscheinungsjahr: | 2020 |
Freie Schlagwörter: | experimental syntax data convergence grammaticality judgments acceptability judgments tasks introspection |
DDC-Sachgruppe: | 400 Sprache, Linguistik |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Most acceptability judgments reported in the syntactic literature are obtained by linguists being their own informants. For well-represented languages like English, this method of data collection is best described as a process of community agreement, given that linguists typically discuss their judgments with colleagues. However, the process itself is comparably opaque, and the reliability of its output has been questioned. Recent studies looking into this criticism have shown that judgments reported in the literature for English can be replicated in quantitative experiments to a near-perfect degree. However, the focus of those studies has been on testing sentence pairs. We argue that replication of only contrasts is not sufcient, because theory building necessarily includes comparison across pairs and across papers. Thus, we test items at large, i. e. independent of counterparts. We created a corpus of grammaticality judgments on sequences of American English reported in articles published in Linguistic Inquiry and then collected experimental ratings for a random subset of them. Overall, expert ratings and experimental ratings converge to a good degree, but there are numerous instances in which ratings do not converge. Based on this, we argue that for theory-critical data, the process of community agreement should be accompanied by quantitative methods whenever possible. |
DOI der Erstveröffentlichung: | 10.1515/zfs-2020-2008 |
URL der Erstveröffentlichung: | https://www.degruyter.com/document/doi/10.1515/zfs-2020-2008/html |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-380964 hdl:20.500.11880/34406 http://dx.doi.org/10.22028/D291-38096 |
ISSN: | 1613-3706 0721-9067 |
Datum des Eintrags: | 21-Nov-2022 |
Bezeichnung des in Beziehung stehenden Objekts: | Supplemental Material |
In Beziehung stehendes Objekt: | https://www.degruyter.com/document/doi/10.1515/zfs-2020-2008/downloadAsset/suppl/zfs-2020-2008supp.docx |
Fakultät: | P - Philosophische Fakultät |
Fachrichtung: | P - Sprachwissenschaft und Sprachtechnologie |
Professur: | P - Keiner Professur zugeordnet |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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10.1515_zfs-2020-2008.pdf | 528,1 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons