NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning
This research focuses on finding the best possible deep learning-based techniques to measure the short sentence similarity for low-resourced languages, focusing on Tamil and Sinhala sort sentences by utilizing existing unsupervised techniques for English. Original repo available on https://github.com/nlpcuom/Tamil-Sinhala-short-sentence-similarity-deep-learning If you use this dataset, cite Nilaxan, S., & Ranathunga, S. (2021, July). Monolingual sentence similarity measurement using siamese… See the full description on the dataset page: https://huggingface.co/datasets/NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning.
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