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LM interpolation using the baseline LM and an LM built from either word-by-word or sentence-by-sentence translated text reduced the word error rate significantly when manually obtained utterances used as a baseline were very sparse.
This paper introduces an LM adaptation technique to improve an LM built using a small amount of task-dependent text with the help of a machine-translated text corpus.
Current LM layer setup methods target the intermediate or raw layered model, generated directly by an LM machine.
In this way, we can figure out the effects of these variations on the overall HMM-based system accuracy using a language model (LM), and on the individual phoneme accuracy of an HMM-based system, which does not use an LM.
If Manning's password weren't an LM hash, an LM rainbow table wouldn't work.
What Manning offered Assange was an LM hash, a password encrypted with the hashing function used by Windows.
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The best artificial neural network model was an LM-ANN with a 5 5 1 architecture.
The verified luminaire model was further investigated with multi-domain models of aged LEDs obtained during an LM-80 standard compliant aging of a set of LEDs, characterizing LEDs up to 6000 + h of operating life time.
Moreover, let (widehat {varphi }) be an LM-extension of φ.
Nevertheless, an LM-type test is readily available once more along the same lines as in Sect.
In this part of the appendix, we introduce the concept of an LM-extension of a dynamic LM-measure for random variables.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com