Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

  title={Compiling a Massive, Multilingual Dictionary via Probabilistic Inference},
  author={Mausam and Stephen Soderland and Oren Etzioni and Daniel S. Weld and Michael Skinner and Jeff A. Bilmes},
Can we automatically compose a large set of Wiktionaries and translation dictionaries to yield a massive, multilingual dictionary whose coverage is substantially greater than that of any of its constituent dictionaries? The composition of multiple translation dictionaries leads to a transitive inference problem: if word A translates to word B which in turn translates to word C, what is the probability that C is a translation of A? The paper introduces a novel algorithm that solves this problem… CONTINUE READING
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