Auto-abstracting of texts in the Kazakh language

Author:

Rakhimova Diana1,Turganbayeva Aliya1

Affiliation:

1. Information Systems Department, KanNU named after al-Farabi, Almaty, Kazakhstan

Publisher

ACM

Reference17 articles.

1. Data Scientist's Guide to Summarization. https://towardsdatascience.com/data-scientists-guide-to-summarization-fc0db952e363. Data Scientist's Guide to Summarization. https://towardsdatascience.com/data-scientists-guide-to-summarization-fc0db952e363.

2. WordNet

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1. Recent Trends for Text Summarization in Scientific Documents;2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED);2023-11-07

2. Ensembled masked graph autoencoders for link anomaly detection in a road network considering spatiotemporal features;Information Sciences;2023-04

3. The Task of Generating Text Based on a Semantic Approach for a Low-Resource Kazakh Language;Recent Challenges in Intelligent Information and Database Systems;2023

4. The Development of the Light Post-editing Module for English-Kazakh Translation;The 7th International Conference on Engineering & MIS 2021;2021-10-11

5. Development and Study of a Post-editing Model for Russian-Kazakh and English-Kazakh Translation Based on Machine Learning;Advances in Computational Collective Intelligence;2021

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