Lexicon Stratification for Translating Out-of-Vocabulary Words

作者: Yulia Tsvetkov, Chris Dyer

摘要

A language lexicon can be divided into four main strata, depending on origin of words: core vocabulary words, fullyand partiallyassimilated foreign words, and unassimilated foreign words (or transliterations). This paper focuses on translation of fullyand partially-assimilated foreign words, called “borrowed words”. Borrowed words (or loanwords) are content words found in nearly all languages, occupying up to 70% of the vocabulary. We use models of lexical borrowing in machine translation as a pivoting mechanism to obtain translations of out-of-vocabulary loanwords in a lowresource language. Our framework obtains substantial improvements (up to 1.6 BLEU) over standard baselines.

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