Summary of Exploring News Summarization and Enrichment in a Highly Resource-scarce Indian Language: a Case Study Of Mizo, by Abhinaba Bala et al.
Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo
by Abhinaba Bala, Ashok Urlana, Rahul Mishra, Parameswari Krishnamurthy
First submitted to arxiv on: 25 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the effectiveness of a simple methodology for generating holistic summaries of Mizo news articles. The approach leverages English-language news to supplement and enhance information related to news events. The study finds that this method significantly enhances information coverage in Mizo news articles. To facilitate future research, the authors make available 500 Mizo news articles and corresponding enriched summaries. This work is particularly relevant for very low-resource languages like Mizo, where online resources are scarce. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us get more reliable news about what’s happening in the world. Right now, it can be hard to find good information if you speak a language that not many people use. The researchers tried out a new way to summarize news articles from this less common language, Mizo, using English-language news as a help. They found that this method makes it easier to get more complete and accurate news about important events. To make it easier for others to build on their work, they shared 500 Mizo news articles with extra details added. |
