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.
@article{arxiv.2004.02929,
title = {An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines},
author = {Elena Álvarez-Mellado},
journal= {arXiv preprint arXiv:2004.02929},
year = {2020}
}
Comments
Accepted at the 4th Workshop on Computational Approaches to Linguistic Code-Switching, LREC 2020