Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data
Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma · 2017
In this paper, we propose efficient and less resource-intensive strategies for parsing of code-mixed data.These strategies are not constrained by in-domain annotations, rather they leverage pre-existing monolingual annotated resources for training.We show that these methods can produce significantly better results as compared to an informed baseline.Besides, we also present a data set of 450 Hindi and English code-mixed tweets of Hindi multilingual speakers for evaluation.The data set is manually annotated with Universal Dependencies.