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Analysis of Dataset Limitations in Semantic KnowledgeDriven MultiVariant Machine Translation by panjalapoojitha2004 is a document available to read on EtoBox.
This study investigates the limitations of datasets in semantic knowledge-driven machine translation (MT) for intelligent virtual assistants (IVA) and proposes a multi-variant MT method that generates multiple valid translations for improved natural language understanding (NLU) models. The evaluation indicates that while the multi-variant approach shows promise, its effectiveness is closely tied to the diversity of the datasets used. The research emphasizes the importance of creating variant-aware NLU datas
- Author
- panjalapoojitha2004
- Language
- EN