On Using Classical Poetry Structure for Indian Language Post-Processing

Post-processors are critical to the performance of language recognizers like OCRs, speech recognizers, etc. Dictionary-based post-processing commonly employ either an algorithmic approach or a statistical approach. Other linguistic features are not exploited for this purpose. The language analysis is also largely limited to the prose form. This paper proposes a framework to use the rich metric and formal structure of classical poetic forms in Indian languages for post-processing a recognizer like an OCR engine. We show that the structure present in the form of the vrtta and pr¯asa can be efficiently used to disambiguate some cases that may be difficult for an OCR. The approach is efficient, and complementary to other post-processing approaches and can be used in conjunction with them.

• Type: Conference
• Year: 2007
• Where: ICDAR
• Authors: Anoop M. Namboodiri, P. J. Narayanan, C. V. Jawahar
• Keywords: Document Analysis, ICDAR 2007, Language Recognizers, Other Linguistic Features, Post-processing Commonly Employ