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Systems based on synchronous grammars and tree transducers promise to improve the quality of statistical machine transla- tion output, but are often very computa- tionally intensive. The complexity is ex- …...

We examine the problem of overcoming noisy word-level alignments when learn- ing tree-to-string translation rules. Our approach introduces new rules, and re- estimates rule probabilities using EM. The major obstacles …...

AbstractWe present a 3-step framework that learns categories and their instances from natural language text based on given training examples. Step 1 extracts contexts of training examples as rules describing …...

AbstractThis paper presents a new active learning technique for machine translation based on quality estimation of automatically translated sentences. It uses an error-driven strategy, i.e., it assumes that the more …...