An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines
This work addresses the need for resources to detect anglicisms in Spanish newswire, which is incremental as it establishes a first step with a baseline model.
The researchers tackled the problem of extracting anglicisms (English borrowings) from Spanish newspaper headlines by introducing an annotated corpus of 21,570 headlines and a baseline CRF model, providing initial tools for lexicographic and NLP applications.
The extraction of anglicisms (lexical borrowings from English) is relevant both for lexicographic purposes and for NLP downstream tasks. We introduce a corpus of European Spanish newspaper headlines annotated with anglicisms and a baseline model for anglicism extraction. In this paper we present: (1) a corpus of 21,570 newspaper headlines written in European Spanish annotated with emergent anglicisms and (2) a conditional random field baseline model with handcrafted features for anglicism extraction. We present the newspaper headlines corpus, describe the annotation tagset and guidelines and introduce a CRF model that can serve as baseline for the task of detecting anglicisms. The presented work is a first step towards the creation of an anglicism extractor for Spanish newswire.