The students were tasked with bringing their own phones, tablets, or PCs to school and working in groups of four. The process involved several steps. Initially, they selected the lyrics and analyzed their structure and meaning. Subsequently, they utilized an AI system to apply algorithms and language models for generating translated text in various languages such as Czech, Italian, Spanish, German, and English. The AI system leveraged bilingual and trilingual data to ensure accurate translations. The students then presented these translations to their classmates.

Initially, it appeared that the translations would be nearly identical without any doubts or lack of proficiency. However, upon closer examination, it was discovered that the translations contained various errors and omissions. Due to the potential for different contexts in expressions and terms, a lack of contextual knowledge can lead to incorrect translations. The AI system's lack of contextual understanding or specialization resulted in grammatical errors, vocabulary errors, lack of coherence and completeness, improper translation of idiomatic expressions without considering their cultural context, and instances of misspelled words

DC_DIVERSITY_Machine learning
DC_DIVERSITY_Machine learning
DC_DIVERSITY_Machine learning
DC_DIVERSITY_Machine learning
DC_DIVERSITY_Machine learning
DC_DIVERSITY_Machine learning
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