An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910580898529280 |
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| author | Ali, Wazir Tumrani, Saifullah Kumar, Jay Soomro, Tariq Rahim |
| author_facet | Ali, Wazir Tumrani, Saifullah Kumar, Jay Soomro, Tariq Rahim |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_15720 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks Ali, Wazir Tumrani, Saifullah Kumar, Jay Soomro, Tariq Rahim Computation and Language 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 |
| title | An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2408.15720 |