How does Welsh Machine Translation work?
- Neural Machine Translation (NMT). NMT uses artificial neural networks to predict the likelihood of a sequence of words, enabling it to generate more fluent and contextually appropriate translations.
- Statistical Machine Translation (SMT). SMT relies on statistical models to translate text based on the analysis of bilingual text corpora and the frequency of word and phrase occurrences.
- Rule-based Machine Translation (RBMT). RBMT uses linguistic rules and dictionaries to translate text, ensuring grammatical correctness but often lacking in fluency compared to NMT.
- Post-editing. This involves human editors refining machine-generated translations to improve accuracy and contextual relevance, ensuring high-quality results.