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Finding translations for low-frequency words in comparable corpora
2006
Machine Translation
Statistical methods to extract translational equivalents from non-parallel corpora hold the promise of ensuring the required coverage and domain customisation of lexicons as well as accelerating their compilation and maintenance. A challenge for these methods are rare, less common words and expressions, which often have low corpus frequencies. However, it is rare words such as newly introduced terminology and named entities that present the main interest for practical lexical acquisition. In
doi:10.1007/s10590-007-9029-7
fatcat:s6xxgb5nvngproveprfo3mwysq