An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines

Elena Alvarez-Mellado


Abstract
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.
Anthology ID:
2020.calcs-1.1
Volume:
Proceedings of the The 4th Workshop on Computational Approaches to Code Switching
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
CALCS | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1–8
Language:
English
URL:
https://www.aclweb.org/anthology/2020.calcs-1.1
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.calcs-1.1.pdf