Abstract
Given the limited size of existing idiom corpora, we aim to enable progress in automatic idiom processing and linguistic analysis by creating the largest-to-date corpus of idioms for English. Using a fixed idiom list, automatic pre-extraction, and a strictly controlled crowdsourced annotation procedure, we show that it is feasible to build a high-quality corpus comprising more than 50K instances, an order of a magnitude larger than previous resources. Crucial ingredients of crowdsourcing were the selection of crowdworkers, clear and comprehensive instructions, and an interface that breaks down the task in small, manageable steps. Analysis of the resulting corpus revealed strong effects of genre on idiom distribution, providing new evidence for existing theories on what influences idiom usage. The corpus also contains rich metadata, and is made publicly available.
Original language | English |
---|---|
Title of host publication | Proceedings of The 12th Language Resources and Evaluation Conference |
Subtitle of host publication | LREC 2020 |
Editors | Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis |
Publisher | European Language Resources Association (ELRA) |
Pages | 279-287 |
Number of pages | 9 |
ISBN (Electronic) | 9791095546344 |
Publication status | Published - 2020 |
Event | 12th Language Resources and Evaluation Conference : LREC 2020 - Marseille, France Duration: 11-May-2020 → 16-May-2020 https://lrec2020.lrec-conf.org/en/ |
Publication series
Name | LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings |
---|
Conference
Conference | 12th Language Resources and Evaluation Conference |
---|---|
Country/Territory | France |
City | Marseille |
Period | 11/05/2020 → 16/05/2020 |
Internet address |