Under Resourced Languages
Key Takeaways
Priyanka Biswas discusses natural language processing for under-resourced languages, highlighting the challenges and limitations of working with languages that lack large corpora, well-annotated corpora, software libraries, and pre-trained models. The conversation focuses on the importance of developing NLP projects for languages with limited resources, such as those other than English.
Original Description
Priyanka Biswas joins us in this episode to discuss natural language processing for languages that do not have as many resources as those that are more commonly studied such as English. Successful NLP projects benefit from the availability of like large corpora, well-annotated corpora, software libraries, and pre-trained models. For languages that researchers have not paid as much attention to, these tools are not always available.
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