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  5. Code-Mixed NLG: Resources, Metrics, and Challenges
 
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Code-Mixed NLG: Resources, Metrics, and Challenges

Source
ACM International Conference Proceeding Series
Date Issued
2022-01-08
Author(s)
Srivastava, Vivek
Singh, Mayank  
DOI
10.1145/3493700.3493766
Abstract
This tutorial will elaborate on various available resources for the natural language generation (NLG) tasks in code-mixed languages. We will also discuss the adaptability, limitations, and challenges with various evaluation metrics for the code-mixed NLG. In addition, we will put forward a set of open research questions pertaining to the tasks, resources, experiments, and metrics for the code-mixed NLG.
Unpaywall
URI
http://repository.iitgn.ac.in/handle/IITG2025/26209
Subjects
Code-mixing | Datasets | Evaluation | Metrics | NLG
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