Paper: Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce

ACL ID P13-4034
Title Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2013
Authors

We present an open-source framework for large-scale online structured learning. Developed with the flexibility to handle cost-augmented inference problems such as statistical machine translation (SMT), our large-margin learner can be used with any decoder. Integration with MapReduce using Hadoop streaming allows efficient scaling with increasing size of training data. Although designed with a focus on SMT, the decoder-agnostic design of our learner allows easy future extension to other structured learning problems such as sequence labeling and parsing.