Parsing and Tagging
|Cross‐language Bayesian models for Web‐scale text analysis using MapReduce|
|Other Faculty||Jordan Boyd-Graber, Philip Resnik|
|Funding||National Science Foundation 1018625|
One example that illustrates these perspectives is our work with “cross-language information retrieval,” in which close coupling of machine translation and information retrieval techniques make it possible for people to find and use information written in languages that they can neither read nor write. Another example is our work on the design and evaluation of “question answering” systems that can automatically find and present answers to complex questions, which serves as a bridge between our work on information retrieval and summarization.