Abstract
L1-L2 parallel dependency treebanks are learner corpora with interoperability as their main design goal. They consist of sentences produced by learners of a second language (L2) paired with native-like (L1) correction hypotheses. Rather than explicitly labelled for errors, these are annotated following the Universal Dependencies standard. This implies relying on tree queries for error retrieval. Work in this direction is, however, limited. We present a query engine for L1-L2 treebanks and evaluate it on two corpora, one manually validated and one automatically parsed.- Anthology ID:
- 2023.nodalida-1.57
- Volume:
- Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Month:
- May
- Year:
- 2023
- Address:
- Tórshavn, Faroe Islands
- Editors:
- Tanel Alumäe, Mark Fishel
- Venue:
- NoDaLiDa
- SIG:
- Publisher:
- University of Tartu Library
- Note:
- Pages:
- 574–587
- Language:
- URL:
- https://aclanthology.org/2023.nodalida-1.57
- DOI:
- Cite (ACL):
- Arianna Masciolini. 2023. A query engine for L1-L2 parallel dependency treebanks. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 574–587, Tórshavn, Faroe Islands. University of Tartu Library.
- Cite (Informal):
- A query engine for L1-L2 parallel dependency treebanks (Masciolini, NoDaLiDa 2023)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/2023.nodalida-1.57.pdf