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Static interpolation of exponential n-gram models using features of features.

, , , and . ICASSP, page 4878-4882. IEEE, (2014)

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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)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)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)Static interpolation of exponential n-gram models using features of features., , , and . ICASSP, page 4878-4882. IEEE, (2014)Multi-class Model M., and . ICASSP, page 5516-5519. IEEE, (2011)Distributed training of large scale exponential language models., , and . ICASSP, page 5520-5523. IEEE, (2011)