Class-based n-gram models of natural language
Computational Linguistics
Foundations of statistical natural language processing
Foundations of statistical natural language processing
FASTY - A Multi-lingual Approach to Text Prediction
ICCHP '02 Proceedings of the 8th International Conference on Computers Helping People with Special Needs
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Empirical estimates of adaptation: the chance of two noriegas is closer to p/2 than p2
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Wordform- and class-based prediction of the components of German nominal compounds in an AAC system
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Analysing performance in a word prediction system with multiple prediction methods
Computer Speech and Language
Corpus studies in word prediction
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Adapting word prediction to subject matter without topic-labeled data
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
User Interaction with Word Prediction: The Effects of Prediction Quality
ACM Transactions on Accessible Computing (TACCESS)
Adaptive language modeling for word prediction
HLT-SRWS '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop
EMU – a european multilingual text prediction software
ICCHP'06 Proceedings of the 10th international conference on Computers Helping People with Special Needs
Non-syntactic word prediction for AAC
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
Basic word completion and prediction for hebrew
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
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In this paper, we report about some preliminary experiments in which we tried to improve the performance of a state-of-the-art Predictive Typing system for the German language by adding a collocation-based prediction component. This component tries to exploit the fact that texts have a topic and are semantically coherent. Thus, the appearance in a text of a certain word can be a cue that other, semantically related words are likely to appear soon. The collocation-based module exploits this kind of topical/semantic relatedness by relying on statistics about the co-occurrence of words within a large window of text in the training corpus. Our current experimental results indicate that using the collocation-based prediction module has a small but consistent positive effect on the performance of the system.