activity
20192026
most citedWord Embedding based New Corpus for Low-resourced Language: Sindhi

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

SiNFluD: Creating and Evaluating Figurative Language Dataset for Sindhi

Wazir Ali, Adeeb Noor, Saifullah Tumrani

In this article, we introduce SiNFluD, a novel benchmark dataset for Sindhi figurative language classification. We first collect raw text from various blogs, social media platforms…

cs.CL2026

BioUNER: A Benchmark Dataset for Clinical Urdu Named Entity Recognition

Wazir Ali, Adeeb Noor, Sanaullah Mahar +2

In this article, we present a gold-standard benchmark dataset for Biomedical Urdu Named Entity Recognition (BioUNER), developed by crawling health-related articles from online Urdu…

cs.CL2024

An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks

Wazir Ali, Saifullah Tumrani, Jay Kumar +1

In this paper, we propose a new word embedding based corpus consisting of more than 61 million words crawled from multiple web resources. We design a preprocessing pipeline for the…

cs.CL2020★ 3 cited

Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention

Wazir Ali, Jay Kumar, Saifullah Tumrani +3

Sindhi word segmentation is a challenging task due to space omission and insertion issues. The Sindhi language itself adds to this complexity. It's cursive and consists of characte…

cs.CL2019★ 6 cited

Word Embedding based New Corpus for Low-resourced Language: Sindhi

Wazir Ali, Jay Kumar, Junyu Lu +1

Representing words and phrases into dense vectors of real numbers which encode semantic and syntactic properties is a vital constituent in natural language processing (NLP). The su…