Verbs are where all the action lies: Experiences of Shallow Parsing of a Morphologically Rich Language

摘要

Verb suffixes and verb complexes of mor-phologically rich languages carry a lot of information. We show that this infor-mation if harnessed for the task of shal-low parsing can lead to dramatic improve-ments in accuracy for a morphologically rich language- Marathi 1. The crux of the approach is to use a powerful morpholog-ical analyzer backed by a high coverage lexicon to generate rich features for a CRF based sequence classifier. Accuracy fig-ures of 94% for Part of Speech Tagging and 97% for Chunking using a modestly sized corpus (20K words) vindicate our claim that for morphologically rich lan-guages linguistic insight can obviate the need for large amount of annotated cor-pora.