The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

Abstract Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps
for Natural Language Processing (NLP) tasks such as Text Summarization, Name Entity …

Automatic part-of-speech (POS) tagging is a preprocessing step of many natural language
processing tasks, such as named entity recognition, speech processing, information …

Speech Recognition is one of the prominent research topics in the field of Natural Language
Processing (NLP). The Speech Recognition technique removes the barriers and makes the …

The present paper discusses the training and evaluation of the CRF and SVM algorithms for
Indo-Aryan languages: Hindi, Odia and Bhojpuri. For annotation of the corpus, we have …

Developing effective natural language processing (NLP) tools for low-resourced languages
poses significant challenges. This article centers its attention on the task of Part-of-speech …

Analyzing product online reviews has drawn much interest in the academic field. In this
research, a new probabilistic topic model, called tag sentiment aspect models (TSA), is …

Automatic Parts of Speech (PoS) Tagging is a sequence labeling problem. PoS Tagging
research has undergone an evolutionary journey starting with Dictionary Lookup PoS …

The study described in this paper belongs to the area of computational linguistics.
Computational linguistics is a field of artificial intelligence dealing with the logical modeling …

Manufacturing industry faces increasing complexity in the performance of assembly tasks
due to escalating demand for complex products with a greater number of variations …