1. An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks
- Author
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Ali, Wazir, Tumrani, Saifullah, Kumar, Jay, and Soomro, Tariq Rahim
- Subjects
Computer Science - Computation and Language - Abstract
In this paper, we propose a new word embedding based corpus consisting of more than 61 million words crawled from multiple web resources. We design a preprocessing pipeline for the filtration of unwanted text from crawled data. Afterwards, the cleaned vocabulary is fed to state-of-the-art continuous-bag-of-words, skip-gram, and GloVe word embedding algorithms. For the evaluation of pretrained embeddings, we use popular intrinsic and extrinsic evaluation approaches. The evaluation results reveal that continuous-bag-of-words and skip-gram perform better than GloVe and existing Sindhi fastText word embedding on both intrinsic and extrinsic evaluation approaches, Comment: arXiv admin note: substantial text overlap with arXiv:1911.12579
- Published
- 2024