HJ-Ky-0.1: an Evaluation Dataset for Kyrgyz Word Embeddings

• URL: http://arxiv.org/abs/2411.10724v2
• Date: Thu, 28 Nov 2024 22:37:57 GMT
• Title: HJ-Ky-0.1: an Evaluation Dataset for Kyrgyz Word Embeddings
• Authors: Anton Alekseev, Gulnara Kabaeva,
• Abstract summary: This work introduces the first'silver standard' dataset for constructing word vector representations in the Kyrgyz language.<n>We train corresponding models and validate the dataset's suitability through quality evaluation metrics.
• Score: 1.1920184024241331
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: One of the key tasks in modern applied computational linguistics is constructing word vector representations (word embeddings), which are widely used to address natural language processing tasks such as sentiment analysis, information extraction, and more. To choose an appropriate method for generating these word embeddings, quality assessment techniques are often necessary. A standard approach involves calculating distances between vectors for words with expert-assessed 'similarity'. This work introduces the first 'silver standard' dataset for such tasks in the Kyrgyz language, alongside training corresponding models and validating the dataset's suitability through quality evaluation metrics.

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