Joining Hands: Exploiting Monolingual Treebanks for Parsing of\n Code-mixing Data

2017/03/31 by Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Bhat, Irshad Ahmad +5
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling

paper · pdf · doi:10.48550/arxiv.1703.10772

openalex publication_date 2017/03/31 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28

Abstract

In this paper, we propose efficient and less resource-intensive strategies\nfor parsing of code-mixed data. These strategies are not constrained by\nin-domain annotations, rather they leverage pre-existing monolingual annotated\nresources for training. We show that these methods can produce significantly\nbetter results as compared to an informed baseline. Besides, we also present a\ndata set of 450 Hindi and English code-mixed tweets of Hindi multilingual\nspeakers for evaluation. The data set is manually annotated with Universal\nDependencies.\n

Related

• Universal Dependency Parsing for Hindi-English Code-switching
• My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
• L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models
• Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns
• The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)