Abstract
The design of many word prediction (WP) systems makes it difficult to gain insight into actual system performance. My research aim has been to apply measures of evaluation to representative WP systems to gain a better understanding of performance indicators and to suggest system improvements. I also investigate whether providing textual context influences system performance.
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© 2002 Springer-Verlag Berlin Heidelberg
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Renaud, A.I. (2002). Word Prediction Evaluation Measures with Performance Benchmarking. In: Cohen, R., Spencer, B. (eds) Advances in Artificial Intelligence. Canadian AI 2002. Lecture Notes in Computer Science(), vol 2338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47922-8_36
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DOI: https://doi.org/10.1007/3-540-47922-8_36
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