The present article discusses the use of Particle Swarm Optimisation (PSO) in a natural
language processing task, namely the creation of a phrasing model which splits any …

The present article reviews the application of Particle Swarm Optimization (PSO) algorithms
to optimize a phrasing model, which splits any text into linguistically-motivated phrases. In …

The present article investigates the optimal setup of a particle swarm algorithm for a specific
natural language processing task. This task consists of identifying syntactic phrases in …

Abstract Particle Swarm Optimization (PSO) is largely used to solve optimization problems
effectively. Nonetheless, the PSO performance depends on the fine tuning of different …

Automated paraphrasing of natural language text has many interesting applications from
aiding in better translations to generating better and more appropriate style language. In this …

In this study, we used grammatical evolution to develop a customised particle swarm
optimiser by incorporating adaptive building blocks. This makes the algorithm self-adaptable …

Particle Swarm Optimization (PSO) is largely used to solve optimization problems effectively.
Nonetheless, the PSO performance depends on the fine tuning of different parameters. To …

This communication focuses on comparing the template-matching technique to established
probabilistic approaches–such as conditional random fields (CRF)–on a specific linguistic …

This article investigates the evolution of the velocity vector as the AdPSO (Adaptive PSO)
algorithm optimizes a set of parameters through a number of epochs. Experimental results …

In this article, aspects regarding the optimisation of machine translation systems via
evolutionary computation algorithms are examined. The article focuses on pattern …