Low-Resource Grammatical Error Correction
Organization
TartuNLP
Abstract
The best performing grammatical error correction methods are English centred and rely on larger error correction corpora than is available for Estonian and many other languages. For Estonian, we have corrections for less than 10k erroneous sentences. The aim is to research methods that can use additional resources, like translation examples or text with synthetic errors, for better error correction. Proposing your own idea is encouraged, but we can also find a more specific topic together, considering previous knowledge and interests.
See more about the work done in TartuNLP from https://arxiv.org/abs/1903.11283 or find previous bachelor and master theses on grammatical error correction or contact for more information.
See more about the work done in TartuNLP from https://arxiv.org/abs/1903.11283 or find previous bachelor and master theses on grammatical error correction or contact for more information.
Graduation Theses defence year
2022-2023
Supervisor
Agnes Luhtaru
Spoken language (s)
Estonian, English
Requirements for candidates
Knowing basic Python, Linux and machine learning is essential, but the difficulty depends on the specific topic.
Level
Bachelor, Masters
Keywords
Application of contact
Name
Agnes Luhtaru
Phone
E-mail