Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages

We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on n-gram-character-aligned bitexts and tuned using word-level BLEU, which we further augment with character-based transliteration at the word level and combine with a word-level… CONTINUE READING

4 Figures & Tables

Topics

Statistics

010202012201320142015201620172018
Citations per Year

77 Citations

Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.