Smoothening of Software documentation : comparing a self-made sequence to sequence model to a pre-trained model GPT-2
This thesis was done in collaboration with Ericsson AB with the goal of researching the possibility of creating a machine learning model that can transfer the style of a text into another arbitrary style depending on the data used. This had the purpose of making their technical documentation appear...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för datavetenskap
2021
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178186 |