Introduction - dcbfoss/vritham GitHub Wiki
A padyam(verse) or kavitha(poem) can be ‘read’, ‘recited’ or ‘sung’. In each of these performances, a poem may exhibit specific rhythmic patterns. Poetic meter is intimately related to such rhythmic patterns. In Malayalam, the rhythmic pattern that manifests in the ‘recital’ or ‘singing’ of the poem, is reckoned as its meter (“Vritham”). Maveli, Tharangini, Nathonnatha, Annanada, Kakali, Keka, Omanakuttan etc are some of the famous Malayalam meters. To analyse meters of Malayalam poems, we need some basic computational analysis of verses. Kavyanarthaki package caters to some of such requirements and is an ongoing project at the University of Kerala India.
Installing Kavyanarthaki
Kavyanarthaki is available on PyPI (Python Package Index).
Windows users with python3 installed, can install kavyanarthaki using the following command entered in the command prompt or powershell.
pip install kavyanarthaki
Linux users with python3 installed, can install kavyanarthaki using the following command entered in terminal
pip3 install kavyanarthaki
Make sure you have required permission while installing packages in Linux.
In Google colab, one can use the following command to install kavyanarthaki for a session.
!pip install kavyanarthaki
Another way to install kavyanarthaki 0.0.1 is to download the following file:
Open a terminal and cd to the directory where you downloaded the above file. Then use the following command to install kavyanarthaki 0.0.1
pip3 install kavyanarthaki-0.0.1-py3-none-any.whl
That’s all. You are now ready to go.