6 research outputs found
Tackling Sparse Data Issue in Machine Translation Evaluation
No full textWe illustrate and explain problems of
n-grams-based machine translation (MT)
metrics (e.g. BLEU) when applied to
morphologically rich languages such as
Czech. A novel metric SemPOS based
on the deep-syntactic representation of the
sentence tackles the issue and retains the
performance for translation to English as
well
