New verbs and dictionaries: A method for the automatic detection of neology in Spanish verbs

Research output: Contribution to journalArticlepeer-review

Abstract

The appearance of new verbs can be observed regularly, but verbs are not frequently investigated in neology, and they are difficult to detect automatically. In this study, a corpus-based method is proposed to detect Spanish verbs with a series of algorithms that analyse the morphology of regular verbs. The vocabulary was drawn from a large corpus and contrasted with a major dictionary of Spanish. Then, a series of filters were applied to distinguish between valid neologism candidates and spelling mistakes. Around 88% of the neologisms proposed by the method were correct and we estimate that the system detected 76% of the neologisms present in the corpus. This procedure can be included in the workflow of a lexicographic project as a regular part of the task, as a systematic way of collecting new verbs from the data and avoiding under-representation or bias

Original languageEnglish
Pages (from-to)382-399
Number of pages18
JournalInternational Journal of Lexicography
Volume34
Issue number3
DOIs
StatePublished - 1 Sep 2021
Externally publishedYes

Keywords

  • Computational lexicography
  • Corpus-based lexicography
  • Neology
  • Spanish
  • Verbs

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