Abstract
Lexical Simplification is the task of reducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expressions while preserving the original meaning. The development of robust pipelined multilingual architectures able to adapt to new languages is of paramount importance in lexical simplification. This paper describes and evaluates a modular hybrid linguistic-statistical Lexical Simplifier that deals with the four major Ibero-Romance Languages: Spanish, Portuguese, Catalan, and Galician. The architecture of the system is the same for the four languages addressed, only the language resources used during simplification are language specific.- Anthology ID:
- W17-5406
- Volume:
- Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Emily Bender, Hal Daumé III, Allyson Ettinger, Sudha Rao
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 40–47
- Language:
- URL:
- https://aclanthology.org/W17-5406
- DOI:
- 10.18653/v1/W17-5406
- Cite (ACL):
- Daniel Ferrés, Horacio Saggion, and Xavier Gómez Guinovart. 2017. An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages. In Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems, pages 40–47, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages (Ferrés et al., 2017)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W17-5406.pdf