Is it possible to integrate dharmamitra segmentation and morphology in Ambuda library? We can also link the pratipadikam with dictionary output. We don't need parsed data because it can parse the text in real time. Some inaccuracies maybe there but it can be allowed with a caution remark.
Please check our telegram bot t.me/Dharmamitrabot once. It's very useful and linked to kosha.app for pratipadikas and verb roots.
Here's the code of the bot.
dharmamitra.py
Is it possible to integrate dharmamitra segmentation and morphology in Ambuda library? We can also link the pratipadikam with dictionary output. We don't need parsed data because it can parse the text in real time. Some inaccuracies maybe there but it can be allowed with a caution remark.
Please check our telegram bot t.me/Dharmamitrabot once. It's very useful and linked to kosha.app for pratipadikas and verb roots.
Here's the code of the bot.
dharmamitra.py