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Combined Automatic Speech Recognition and Machine Translation in Business Correspondence Domain for English-Croatian
TLDR
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. Expand
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Sustav za statističko strojno prevođenje i računalna adaptacija domene
Statisticko strojno prevođenje temeljeno na frazama jedan je od mogucih pristupa automatskom strojnom prevođenju. U radu su predložene metode za poboljsanje kvalitete strojnog prijevoda prilagodbomExpand
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Towards educating and motivating the crowd – a crowdsourcing platform for harvesting the fruits of NLP students\' labour
TLDR
This paper presents an idea to bring crowdsourcing to a higher level, for the purpose of acquiring valuable machine translation and natural language processing resources. Expand
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Patterns-based Information Systems Organization
TLDR
The socio-technical systems research paradigm is about the complexity of real situations. Expand
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Automatic word-level evaluation and error analysis of formant speech synthesis for Croatian
TLDR
Human evaluation is performed in order to evaluate quality of speech according to criteria of sentence comprehensibility, word intelligibility and correctness of word pronunciation. Expand
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Domain-Specific Evaluation of Croatian Speech Synthesis in CALL
TLDR
In this paper, related work is discussed and an experiment is conducted using formant synthesis-based text-to-speech tool CroSS (Croatian Speech Synthesizer), in order to assess and evaluate the quality of synthesized Croatian speech, according to five criteria, then by domain suitability, affective attitudes and appropriateness of implementation in broader public use. Expand
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CroSS: Croatian Speech Synthesizer - design and implementation
TLDR
CroSS, i.e. Croatian Speech Synthesizer is a text-to-speech synthesizer based on formant synthesis. Expand
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