In NLP research, unsupervised or semi-supervised learning techniques are increasingly
getting more attention. These learning techniques are capable of learning from data that has …

Abstract Natural Language Processing (NLP) makes it easier for people to communicate
with computers. Discourse analysis, morphological separation, machine translation, natural …

Large pre-trained language models, such as BERT, have recently achieved state-of-the-art
performance in different natural language processing tasks. However, BERT based models …

This paper presents the first part-of-speech (POS) tagging research for Tigrinya (Semitic
language) from the newly constructed Nagaoka Tigrinya Corpus. The raw text was extracted …

Abstract Part-of-Speech (POS) Tagging is the process of automatically determining the
proper grammatical tag or syntactic category of a word depending on a its context. POS …

In various fields of engineering, optimization plays a key role in the development of new
technology. In this wake, this paper discusses in detail, the concept of optimization, a few …

Part-of-speech (POS) tagging is the process of selecting an appropriate POS tag for each
word in a natural language sentence. POS tagging is a vital part of most natural language …

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 …

Processing of natural language is branch of linguistics, artificial intelligence & computer
science and its purpose is to have interaction among natural language of human beings and …

Parts-of-speech tagging, the predictive sequential labeling of words in a sentence, given a
context, is a challenging problem both because of ambiguity and the infinite nature of natural …