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The VXL [36] implementation of LM was used in the present work.
The CMU dictionary was used to map lexical items into phoneme strings, and the 5,000-word 5,000-wordabulary bigram LM was used.
For the TIMIT dataset, the set of 39 phones was defined as in [36], and a phone bi-gram language model (LM) was used (trained from the TIMIT training speech transcripts).
LM was used to train the present model.
LM was used to study the axial ratios of erythrocytes (RBCs), using 100x magnification.
In plants, LM was used initially to isolate phloem cells from rice leaves [ 49].
Similar(50)
LM is used when the output is numerical [11].
The SE algorithm (dashed lines), MVN, and a trigram LM are used for evaluation.
The SE algorithm, MVN, and a trigram LM are used for evaluation.
In this paper, a hybrid n-gram LM is used instead in order to handle OOV words.
Dimmable high-pressure sodium lamps with three lighting levels 49, 71 and 100% (3557, 5179 and 7252 lm) were used.
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