Date of Original Version
Prague Bulletin of Mathematical Linguistics
© 2012 PBML
Abstract or Description
This paper describes pycdec, a Python module for the cdec decoder. It enables Python code to use cdec's fast C++ implementation of core finite-state and context-free inference algorithms for decoding and alignment. The high-level interface allows developers to build integrated MT applications that take advantage of the rich Python ecosystem without sacrificing computational performance. We give examples of how to interact directly with the main cdec data structures (lattices, hypergraphs, sparse feature vectors), evaluate translation quality, and use the suffix-array grammar extraction code. This permits rapid prototyping of new algorithms for training, data visualization, and utilizing MT and related structured prediction tasks.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Prague Bulletin of Mathematical Linguistics, 98, 51-61.