Advances in natural language and speech processing
We invite presentations that present recent, substantial and original research on all aspects of language and speech processing related areas, including, but not limited to the following topics:
- corpus-based language modelling
- extraction of grammar and transfer rules, lexicons and collocations from corpora
- collection and annotation of corpora
- ambiguity resolution
- machine translation and translation aids
- lexical resources
- parsing issues
- information retrieval, knowledge representation and text classification
- technologies for language learning and therapy
- speech modelling
- speech segmentation, recognition and synthesis
- transcription problems in spoken corpora
- supervised and unsupervised methods
- finite state methods
In recent years more and more research adopts hybrid approach to language and speech processing problems by combining traditional symbolic methods with data-driven and probabilistic approaches. For this session, we will particularly encourage presentations on research which successfully follows this middle way between symbolic and statistical approach or, on the contrary, which shows that in a given area it is not the best way to go. Research and applications that involve Central European languages would be extremely valuable. We will also welcome submissions from the industry working on NLP or Speech Processing who would be willing to demonstrate their latest applications.
Please send abstracts for 20-minute talk to the PLM Organising Committee (plm@ifa.amu.edu.pl) in accordance with the submission instructions.
Session organisers:
Krzysztof Jassem (Adam Mickiewicz University, Poznań, email: jassem at amu.edu.pl)
Grzegorz Krynicki (Adam Mickiewicz University, Poznań, email: krynicki at ifa.amu.edu.pl)