Papers with LaVA

2 papers
Quality Focused Approach to a Learner Corpus Development (2020.lrec-1)

Copied to clipboard

Challenge: Existing methods for annotating learner corpus with errors are not well defined and can be repetitive.
Approach: The paper proposes a quality focused approach to a learner corpus development . the approach includes comparison of digitized texts, text correction, automated morphological analysis and manual review of annotations.
Outcome: The proposed method is used to create a learner corpus in Latvian . it reduces the amount of mistakes that could be introduced due to inconsistent correction or carelessness.
LaVA – Latvian Language Learner corpus (2022.lrec-1)

Copied to clipboard

Challenge: a corpus of 1015 essays from foreigners learning Latvian as a foreign language is available at http://www.korpuss.lv/id/LaVA.
Approach: They propose to create a Latvian Language Learner Corpus (LaVA) which contains 1015 essays from Latvian students with different language backgrounds.
Outcome: The LaVA corpus contains 1015 essays from foreigners studying at Latvian higher education institutions and reaching the A1 (possibly A2) Latvian language proficiency level.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations