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pro vyhledávání: '"mixed language"'
A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model
Existing research on news summarization primarily focuses on single-language single-document (SLSD), single-language multi-document (SLMD) or cross-language single-document (CLSD). However, in real-world scenarios, news about a international event of
Externí odkaz:
http://arxiv.org/abs/2410.09773
Autor:
Deroy, Aniket, Maity, Subhankar
Language Identification (LI) is crucial for various natural language processing tasks, serving as a foundational step in applications such as sentiment analysis, machine translation, and information retrieval. In multilingual societies like India, pa
Externí odkaz:
http://arxiv.org/abs/2411.04025
Autor:
Niu, Zhengkai1 (AUTHOR) 20219647@m.scnu.edu.cn, Li, Zilong1 (AUTHOR), Ma, Yunxiao1 (AUTHOR), Yu, Keke1 (AUTHOR), Wang, Ruiming1 (AUTHOR) wangrm@scnu.edu.cn
Publikováno v:
Brain Sciences (2076-3425). May2024, Vol. 14 Issue 5, p411. 15p.
Akademický článek
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One of the most popular downstream tasks in the field of Natural Language Processing is text classification. Text classification tasks have become more daunting when the texts are code-mixed. Though they are not exposed to such text during pre-traini
Externí odkaz:
http://arxiv.org/abs/2309.10272
Autor:
Ali, Mohsin, Teja, Kandukuri Sai, Gupta, Neeharika, Patwa, Parth, Chatterjee, Anubhab, Jain, Vinija, Chadha, Aman, Das, Amitava
The mixing of two or more languages is called Code-Mixing (CM). CM is a social norm in multilingual societies. Neural Language Models (NLMs) like transformers have been effective on many NLP tasks. However, NLM for CM is an under-explored area. Thoug
Externí odkaz:
http://arxiv.org/abs/2309.05270
Code-mixing and script-mixing are prevalent across online social networks and multilingual societies. However, a user's preference toward code-mixing depends on the socioeconomic status, demographics of the user, and the local context, which existing
Externí odkaz:
http://arxiv.org/abs/2309.02915
Akademický článek
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