Background/objectives: The major changes which come across face recognition are to find
the age and gender of the person. This study is centered on face detection with voice and …

We introduce the SiNER: a named entity recognition (NER) dataset for low-resourced Sindhi
language with quality baselines. It contains 1,338 news articles and more than 1.35 million …

Sindhi language is a rich language with plenty of literary and general texts. There are
number of books, newspapers, magazines and internet material available to develop Sindhi …

Research results in different subdomains of NLP are enumerated and compared for Nepali,
Sindhi, and Konkani languages. These languages are spoken by relatively small …

Motivations: E-Learning is more popular in today's era; most of the institutes have E-learning
systems and also provide distance learning education. On the other hand, some of the main …

Sindhi is an amusing vernacular with a large abundance of pieces of literature and non-
literary works. Despite the availability of several books, newspapers, magazines, and …

Named entity recognition (NER) is a fundamental task in many natural language processing
(NLP) applications, such as text summarization and semantic information retrieval. Recently …

Named Entity Recognition (NER)” is a application of Artificial Intelligence, Machine Learning
and “Natural Language Processing (NLP”). In NER, various classes of Named entity such as …

Part-of-speech tagging and named entity recognition (NER) are fundamental sequential
labeling tasks in natural language processing (NLP), where joint learning of both tasks is an …

This paper covers the historical backdrop of natural language processing, including both
voice and text. It contains an outline of wide approaches to separating the member's …