How does Danish Audio Translator work?
- Speech Recognition. This method converts spoken Danish words into written text using advanced algorithms and machine learning.
- Natural Language Processing (NLP). NLP techniques analyze the transcribed text to understand context, syntax, and semantics for accurate translation.
- Neural Machine Translation. This method employs deep learning models to translate text from Danish into other languages while preserving meaning and nuance.
- Post-Editing. Human experts review and refine the translated text to ensure high quality, coherence, and cultural relevance.