We describe a method for identifying systematic patterns in translation data using part-of-speech tag sequences. We incorporate this analysis into a diagnostic tool intended for developers of machine translation systems, and demonstrate how our application can be used by developers to explore patterns in machine translation output.
|Title of host publication||Proceedings of HLT/EMNLP 2005 Interactive Demonstrations|
|Place of Publication||Vancouver, British Columbia, Canada|
|Publisher||Association for Computational Linguistics|
|Number of pages||2|
|Publication status||Published - 1 Oct 2005|