10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Large-Scale Polish SLU

Patrick Lehnen (1), Stefan Hahn (1), Hermann Ney (1), Agnieszka Mykowiecka (2)

(1) RWTH Aachen University, Germany
(2) Polish Academy of Sciences, Poland

In this paper, we present state-of-the art concept tagging results on a new corpus for Polish SLU. For this language, it is the first large-scale corpus (กซ200 different concepts) which has been semantically annotated and will be made publicly available. Conditional Random Fields have proven to lead to best results for string-to-string translation problems. Using this approach, we achieve a concept error rate of 22.6% on an evaluation corpus. To additionally extract attribute values, a combination of a statistical and a rule-based approach is used leading to a CER of 30.2%.

Full Paper

Bibliographic reference.  Lehnen, Patrick / Hahn, Stefan / Ney, Hermann / Mykowiecka, Agnieszka (2009): "Large-scale Polish SLU", In INTERSPEECH-2009, 2723-2726.