EU Phraseological Verbal Patterns in the PETIMOD 2.0 Corpus: A NER-Enhanced Approach

Book chapter

Gloria Corpas Pastor, Fernando Sánchez Rodas
Łucja Biel, Hendrik Kockaert, Handbook of Terminology, vol. 3, John Benjamins, Amsterdam/Philadelphia, 2023, pp. 397-430

DOI: 10.1075/hot.3

Cite

APA Click to copy
Pastor, G. C., & Rodas, F. S. (2023). EU Phraseological Verbal Patterns in the PETIMOD 2.0 Corpus: A NER-Enhanced Approach. In Ł. Biel & H. Kockaert (Eds.), Handbook of Terminology (Vol. 3, pp. 397–430). Amsterdam/Philadelphia: John Benjamins. https://doi.org/10.1075/hot.3

Chicago/Turabian Click to copy
Pastor, Gloria Corpas, and Fernando Sánchez Rodas. “EU Phraseological Verbal Patterns in the PETIMOD 2.0 Corpus: A NER-Enhanced Approach.” In Handbook of Terminology, edited by Łucja Biel and Hendrik Kockaert, 3:397–430. Amsterdam/Philadelphia: John Benjamins, 2023.

MLA Click to copy
Pastor, Gloria Corpas, and Fernando Sánchez Rodas. “EU Phraseological Verbal Patterns in the PETIMOD 2.0 Corpus: A NER-Enhanced Approach.” Handbook of Terminology, edited by Łucja Biel and Hendrik Kockaert, vol. 3, John Benjamins, 2023, pp. 397–430, doi:10.1075/hot.3.

BibTeX Click to copy

@inbook{gloria2023a,
  title = {EU Phraseological Verbal Patterns in the PETIMOD 2.0 Corpus: A NER-Enhanced Approach},
  year = {2023},
  address = {Amsterdam/Philadelphia},
  pages = {397-430},
  publisher = {John Benjamins},
  volume = {3},
  doi = {10.1075/hot.3},
  author = {Pastor, Gloria Corpas and Rodas, Fernando Sánchez},
  editor = {Biel, Łucja and Kockaert, Hendrik},
  booktitle = {Handbook of Terminology}
}

Description
This chapter studies phraseological patterns in PETIMOD 2.0, an English<>Spanish intermodal corpus of the EU Committee on Petitions. The first part briefly overviews the corpus-based research on EU institutional phraseology, with a focus on contrastive approaches and parliamentary corpora. The second part studies the formulaicity of named entities and their verbal patterns in PETIMOD 2.0. We hypothesize that corpus-based Named Entity Recognition (NER) is the most suitable method to extract relevant argument-structure constructions from such texts. Results shed light on the existence of different degrees of formulaicity across languages and modes, but also on common features motivated by the pragmatics of the Petitions Committee.