Paper: Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation

ACL ID P12-3022
Title Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2012
Authors

We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all of the algorithms required for tree/forest- to-string decoding using tree-to-string trans- lation rules: multiple-thread forest-based de- coding, n-gram language model integration, beam- and cube-pruning, k-best hypotheses extraction, and minimum error rate training. In terms of tree-to-string translation rule ex- traction, the toolkit implements the tradi- tional maximum likelihood algorithm using PCFG trees (Galley et al., 2004) and HPSG trees/forests (Wu et al., 2010).