Cross-Lingual Lexico-Semantic Transfer in Language Learning
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1907
- Type
- E - Conference contribution
- DOI
-
10.18653/v1/p16-1092
- Title of conference / published proceedings
- Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
- First page
- 974
- Volume
- 1
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents a novel method to error detection and correction of lexical errors in second language writing. It combines several machine learning approaches and insights based on cross-lingual transfer. The paper was published in the proceedings of the world leading conference in Natural Language Processing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -