Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
We perform a large-scale evaluation of multiple off-the-shelf speech recognizers across diverse domains for virtual human dialogue systems. Our evaluation is aimed at speech recog...
Grammars play an important role in many Natural Language Processing (NLP) applications. The traditional approach to creating grammars manually, besides being labor-intensive, has ...
This paper describes the development of tools for a semi-automated process for validation of treebank annotation at various levels. Consistency in treebank annotation is a must fo...
In this paper, we report on our attempt at assigning semantic information from the English FrameNet to lexical units in the Bulgarian valency lexicon. The paper briefly presents t...
Many techniques are developed to derive automatically lexical resources for opinion mining. In this paper we present a gold standard for Dutch adjectives developed for the evaluat...
An important feature of spoken language corpora is existence of different spelling variants of words in transcription. So there is an important problem for linguist who works with...
The process engine for pattern recognition and information fusion tasks, the pepr framework, aims to empower the researcher to develop novel solutions in the field of pattern reco...
Volker Fritzsch, Stefan Scherer, Friedhelm Schwenk...