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Sure, digital text is necessary for computational linguistics and preferable for referencing, but paper is easier on the eyes, impedes distractions, prevents snooping, obstructs censorship and does justice to paragraphs and pictures in all their shapes and sizes.
Of course, these are primarily questions for linguistics proper, but the answers we give certainly have consequences for computational linguistics.
General references for computational linguistics are Allen 1995, Jurafsky and Martin 2009, and Clark et al. 2010.
The orthographic de facto definition of sentences by punctuation has proved useful for computational linguistics in European languages.
But again, we may ask how much of the expressive richness of Montague's type theory is really essential for computational linguistics.
First, we describe big data analytics that is a field that combines faculties from computer science, statistics, signal processing, data mining, and machine learning (in particular, techniques for computational linguistics (see Section "AI/ML domain areas relevant for crisis informatics"), geospatial technologies, and visual analytics), to mine insights from big data.
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Recent developments in the field of computational linguistics offer powerful tools for analyzing speech and texts.
For content analysis, we turned to techniques from computational linguistics.
More recently, these techniques have been greatly enhanced by the power of computational linguistics tools applied to web resources (for an interesting example but on a different subject, see [17]).
First, we show that a dynamic programming method of computational linguistics gives a fast way to search protein models for native structures.
Mutual information MI (mutual information) [13, 14] used for mutuality measurement of two objects is a common method in the analysis of computational linguistics models.
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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