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One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages ...
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EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses ...
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Exploration of metaphor and affect sensing using semantic interpretation in an intelligent agent
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Did You Say What I Think You Said? - Towards a Language-Based Measurement of a Speech Recognizer's Confidence
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Abstract:
In this paper we discuss the problem that in a dialogue system, speech recognizers should be able to guess whether the speech recognition failed, even if no correct transcription of the actual user utterance is available. Only with such a diagnosis available, the dialogue system can choose an adequate repair strategy and try to recover from the interaction problem with the user and avoid negative consequences for the successful completion of the dialogue. We present a data collection for a controlled out-of-vocabulary scenario and discuss an approach to estimate the success of a speech recognizer’s results by exploring differences between the N-gram distribution in the best word chain and in the language model. We present the results of our experiments that indicate that differences can be found to be significant if the speech recognition failed severely. From these results, we derive a quick test for failed recognition that is based on a negative language model.
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Keyword:
004 Informatik; ddc:004
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URL: https://epub.uni-regensburg.de/28410/
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Project EuDML--A First Year Demonstration
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In: Intelligent Computer Mathematics ; Intelligent Computer Mathematics 18th Symposium, Calculemus 2011, and 10th International Conference, MKM 2011 ; https://hal.archives-ouvertes.fr/hal-00658076 ; Intelligent Computer Mathematics 18th Symposium, Calculemus 2011, and 10th International Conference, MKM 2011, Jul 2011, Bertinoro, Italy. pp.281-284, ⟨10.1007/978-3-642-22673-1_21⟩ (2011)
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