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Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition., , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (1): 184-192 (2014)Pruning exponential language models., , and . ASRU, page 237-242. IEEE, (2011)Performance prediction and shrinking language models., , , , , , and . MLSLP, ISCA, (2011)Impact of word classing on shrinkage-based language models., , , and . INTERSPEECH, page 1804-1807. ISCA, (2010)Normalization of non-standard words., , , , , and . Computer Speech & Language, 15 (3): 287-333 (2001)Performance Prediction for Exponential Language Models.. HLT-NAACL, page 450-458. The Association for Computational Linguistics, (2009)The IBM Rich Transcription Spring 2006 Speech-to-Text System for Lecture Meetings., , , , , , , , , and . MLMI, volume 4299 of Lecture Notes in Computer Science, page 432-443. Springer, (2006)Conditional and joint models for grapheme-to-phoneme conversion.. INTERSPEECH, ISCA, (2003)Static interpolation of exponential n-gram models using features of features., , , and . ICASSP, page 4878-4882. IEEE, (2014)On-line algorithms for combining language models., , , and . ICASSP, page 745-748. IEEE Computer Society, (1999)