Papers with real-time prediction environment

1 papers
On-Device Neural Language Model Based Word Prediction (C18-2)

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Challenge: Currently, on-device keyboards have limited memory and response time for word prediction . a proposed on-device neural language model based word prediction method is available for mobile devices .
Approach: They propose an on-device neural language model based word prediction method that optimizes run-time memory and provides a real-time prediction environment.
Outcome: The proposed model outperforms existing methods for word prediction in keystroke savings and word prediction rate and has been commercialized.

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