Exploring Meta-analysis for Historical Corpus Linguistics Based on Linked Data
| Autor: | Terttu Nevalainen, Joonas Kesäniemi, Turo Vartiainen, Tanja Säily |
|---|---|
| Přispěvatelé: | Department of Languages, English Philology, Department of Digital Humanities |
| Rok vydání: | 2019 |
| Předmět: |
060201 languages & linguistics
Information retrieval Language change Computer science corpus linguistics open data 06 humanities and the arts Linked data Reuse 113 Computer and information sciences Database design Filter (software) 030507 speech-language pathology & audiology 03 medical and health sciences Open data Corpus linguistics 0602 languages and literature Workbench 6121 Languages 0305 other medical science meta analysis |
| Zdroj: | Journal of Research Design and Statistics in Linguistics and Communication Science. 5:4-47 |
| ISSN: | 2052-4188 2052-417X |
| DOI: | 10.1558/jrds.36709 |
| Popis: | Empirical work on English historical corpus linguistics is plentiful but fragmented, and some of it is hard to come by. This paper proposes a solution for making it more accessible and reusable for meta-analysis. We present an online Language Change Database (LCD), which provides comparative, real-time baseline data from earlier corpus-based studies. LCD entries summarize the findings and include numerical data from the articles. We discuss the LCD from the perspective of database design and linked data management. Furthermore, we illustrate the reuse of LCD data through a meta-analysis of the history of English connectives. For this purpose, we have developed an application called the LCD Aggregated Data Analysis workbench (LADA). We show how researchers can use LADA to filter, refine and visualize LCD data. Thus we are paving the way for a future where both research results and research data are regularly available for verification, validation and re-use. |
| Databáze: | OpenAIRE |
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