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Combined Automatic Speech Recognition and Machine Translation in Business Correspondence Domain for English-Croatian / Seljan, Sanja ; Dunđer, Ivan.

By: Seljan, Sanja.
Contributor(s): Dunđer, Ivan [aut].
Material type: ArticleArticleDescription: 1615-1621 str.Other title: Combined Automatic Speech Recognition and Machine Translation in Business Correspondence Domain for English-Croatian [Naslov na engleskom:].Subject(s): 5.04 | automatic machine translation, integrated language technologies, quality evaluation, speech recognition hrv | automatic machine translation, integrated language technologies, quality evaluation, speech recognition engOnline resources: Click here to access online | Click here to access online In: WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY - International Journal of Computer, Information, Systems and Control Engineering Vol. 8 (2014), No. 11 ; str. 1615-1621Summary: The paper presents 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 WER (Word Error Rate) and PER (Position-independent word Error Rate) metrics, followed by investigation of Pearson’s correlation with human evaluation.
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The paper presents 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 WER (Word Error Rate) and PER (Position-independent word Error Rate) metrics, followed by investigation of Pearson’s correlation with human evaluation.

Projekt MZOS 3.5.1.5

Projekt MZOS 130-1300646-0909

ENG

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