With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …

This survey on hybrid machine translation (MT) is motivated by the fact that hybridization
techniques have become popular as they attempt to combine the best characteristics of …

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 …

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 …

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

The present article focuses on improving the performance of a hybrid Machine Translation
(MT) system, namely PRESEMT. The PRESEMT methodology is readily portable to new …

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 …

Perda de audição é a incapacidade parcial ou total de ouvir que afeta aproximadamente
10% da população mundial. Uma das principais consequências desta condição é a perda …

The present chapter reviews the development of a hybrid Machine Translation (MT)
methodology, which is readily portable to new language pairs. This MT methodology (which …