Minimally Supervised Multilingual Taxonomy and Translation Lexicon Induction.

We present a novel algorithm for the acqui- sition of multilingual lexical taxonomies (in- cluding hyponymy/hypernymy, meronymy and taxonomic cousinhood), from monolin- gual corpora with minimal supervision in the form of seed exemplars using discriminative learning across the major WordNet seman- tic relationships. This capability is also ex- tended robustly and effectively to a second language (Hindi) via cross-language projec- tion of the various seed exemplars. We also present a novel model of translation dic- tionary induction via multilingual transitive models of hypernymy and hyponymy, us- ing these induced taxonomies. Candidate lexical translation probabilities are based on the probability that their induced hyponyms and/or hypernyms are translations of one an- other. We evaluate all of the above models on English and Hindi.