Guardado en:
Detalles Bibliográficos
Autores principales: Ali, Wazir, Tumrani, Saifullah, Kumar, Jay, Soomro, Tariq Rahim
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:https://arxiv.org/abs/2408.15720
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866910580898529280
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