Grammatikfehlerkorrektur mit Deep Reinforcement Learning – Raj Kumar RANA
Raj Kumar RANA
Master's thesis
Grammatikfehlerkorrektur mit Deep Reinforcement Learning
Abstract:
Reinforcement Learning (RL) method was used to fine-tune a sequence-to-label model for the Grammar Error Correction (GEC) task. Required components of RL like the environment, reward function and policy gradient algorithm were implemented. An action-search algorithm was implemented to mitigate the training instability due to the high dimension of the state and action spaces. The action-search algorithm …more
Language used: Czech
Date on which the thesis was submitted / produced: 6. 2. 2023
Thesis defence
- Supervisor: prof. Dr. Andreas Fischer
Citation record
ISO 690-compliant citation record:
RANA, Raj Kumar. \textit{Grammatikfehlerkorrektur mit Deep Reinforcement Learning}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2023. Available from: https://theses.cz/id/88xyi6/.
The right form of listing the thesis as a source quoted
RANA, Raj Kumar. Grammatikfehlerkorrektur mit Deep Reinforcement Learning. České Budějovice, 2023. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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