An Effective Bi-LSTM Word Embedding System for Analysis and Identification of Language in Code-Mixed social Media Text in English and Roman Hindi
Author:
Publisher
Instituto Politecnico Nacional/Centro de Investigacion en Computacion
Subject
General Computer Science
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improved word vector space with ensemble deep learning model for language identification;Sādhanā;2024-04-25
2. A Comprehensive Survey of Techniques Used for Part-of-Speech Tagging of Code-Mixed Social Media Text;2023-08-23
3. Corpus creation and language identification for code-mixed Indonesian-Javanese-English Tweets;PeerJ Computer Science;2023-06-22
4. Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data;Knowledge-Based Systems;2023-01
5. A Systematic Review on Language Identification of Code-Mixed Text: Techniques, Data Availability, Challenges, and Framework Development;IEEE Access;2022
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