Summary of Enhancing Assamese Nlp Capabilities: Introducing a Centralized Dataset Repository, by S. Tamang et al.
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset Repository
by S. Tamang, D. J. Bora
First submitted to arxiv on: 15 Oct 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 presents a centralized open-source dataset repository for advancing NLP and NMT in Assamese, a low-resource language. The repository provides pre-training and fine-tuning corpora for tasks like sentiment analysis, named entity recognition, and machine translation, supporting various applications such as LLMs, OCR, and chatbots. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special place on the internet where people can share and use data to make computers understand Assamese better. Right now, it’s hard to find good data for working with Assamese because there isn’t much of it out there. This new dataset helps researchers work together and come up with new ideas for things like language translation and chatbots. |
Keywords
» Artificial intelligence » Fine tuning » Named entity recognition » Nlp » Translation
