使用Word2Vec的尼泊尔语词嵌入

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval Pub Date : 2022-12-16 DOI:10.1145/3582768.3582799

Bipesh Subedi, Prakash Poudyal

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引用次数: 0

摘要

单词嵌入是一种通过将单词映射到数字来理解单词之间关系的技术。在这一领域进行了几种不同语言的研究，如英语、印地语、孟加拉语等，但尼泊尔语领域的作品很少。在这项工作中，使用Word2Vec实现了尼泊尔语新闻数据的词嵌入技术。这项工作涉及的方法包括数据集准备和Word2Vec建模。Gensim包用于实现Word2Vec模型，其输出显示尼泊尔语单词之间的相似度。这项工作主要集中在尼泊尔新闻门户网站抓取健康部分生成的尼泊尔语单词上开发单词嵌入，并显示出良好的效果。

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Word Embedding in Nepali Language using Word2Vec

Word embedding is a technique for understanding the relationship among words by mapping words to numbers. Several kinds of research have been carried out in this field in different languages such as English, Hindi, Bengali etc. but very few works are available in the Nepali language domain. In this work, the word embedding technique using Word2Vec is implemented for Nepali news data. The methodology involved in this work includes Dataset preparation and Word2Vec modelling. Gensim package is used for implementing the Word2Vec model and its output shows the similarity between Nepali words. The work mainly focuses on developing word embedding on Nepali words generated by scraping the health section of Nepali news portals and has shown promising results.

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Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval

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