We compare two distinct speech recognition approaches, namely Hidden Markov models
mixed with deep neural networks and modern end-to-end neural speech recognition …

Statistical language models are an important module in many areas of successful
applications such as speech recognition and machine translation. And n-gram models are …

Distance learning is any type of far-off instruction where the understudy isn't actually present
for the exercise. It is blasting gratitude to the force of the Internet. Distance learning plays a …

Abstract Background Electronic Health Records (EHRs) are written using spontaneous
natural language. Often, terms do not match standard terminology like the one available …

Various factors influence the accuracy with which the language of individual words can be
classified using n-grams. We consider a South African text-based language identification …

Abstract Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have
several machine translation systems available in the web, which provide reasonable …

This new research explores the effects of various training methods on a Polish to English
Statistical Machine Translation system for medical texts. Various elements of the EMEA …

One of the main characteristics of social media data is the use of non-standard language.
Since NLP tools have been trained on traditional text material their performance drops when …

Spoken language translation (SLT) is becoming more important in the increasingly
globalized world, both from a social and economic point of view. It is one of the major …

Speech is the primary means of communication among people. Spoken dialogue system
give out some means for people to be able to interact with computer systems. The automatic …