UTER: Capturing the Human Touch in Evaluating Morphologically Rich and Low-Resource Languages

Intermediate-Task Training on English Syntax for Zero-Shot Parsing in Morphologically Rich Low-Resource Languages

Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuni

Machine Translation for Morphologically Rich Low-Resourced South African Languages

Leveraging Semantic Diffusion for Polysemous Word Disambiguation in Morphologically Rich Low-resourced Languages

Word Sense Disambiguation (WSD) remains one of the most challenging problems in Natural Language Pro

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages

Neural dependency parsing has achieved remarkable performance for low resource morphologically rich

Translating into Morphologically Rich Languages with Synthetic Phrases

Translation into morphologically rich languages is an important but recalcitrant problem in MT. W

A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages

Neural dependency parsing has achieved remarkable performance for many domains and languages. The bo