World Academic Union
In this paper, the authors present combined Automatic Speech Recognition (ASR) of English and Machine Translation (MT) for English and Croatian and Croatian-English language pairs in the domain of business correspondence. The first part presents results of training the ASR commercial system on English data sets, enriched by error analysis. The second part presents results of machine translation performed by free online tool for English and Croatian and Croatian-English language pairs. Human evaluation in terms of usability is conducted and internal consistency calculated by Cronbach's alpha coefficient, enriched by error analysis. Automatic evaluation is performed by Word Error Rate (WER) and Position-independent word Error Rate (PER) metrics, followed by investigation of Pearson's correlation with human evaluation.