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Techniques have been developed for language analysis at all of these structural levels, though space limitations will not permit a serious discussion of methods used below the word level.
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An interesting research direction would be to investigate if a similar method could be developed for languages with features that are different from English, such as Asian and Semitic languages.
Multiple importance evaluation indices have been developed for natural language processing and text mining to measure the importance of words and phrases for extracting features.
Digit triplet-based screening tests have been developed for several languages (Ozimek et al. 2009; Jansen et al. 2010, 2013; Vlaming et al. 2011; Zokoll et al. 2012) and have been publically available as website- and telephone-based screening services for several years.
These dialogues have been developed for the German language.
Our algorithm to find negated and speculative assertions has been developed for the Dutch language and currently is not as sophisticated and comprehensive as some of the algorithms available for English, e.g., NegEx [ 42] or ConText [ 58], and ScopeFinder [ 59].
But the Aakash- 2 also has several apps that have been developed for students studying computer languages like C, C++, Python and Scilab, an open-source version of MATLAB, which are all used to create computer programs.
Several medical knowledge representation and guideline languages have been developed for the formal computerized definition of such knowledge.
While the majority of the Open Babel library is written in C++, bindings have been developed for a range of other programming languages, including Java and the.NET platform, as well as the so-called "dynamic" scripting languages Perl, Python, and Ruby.
Neural network-based language models have been developed for estimation of word representations [28].
This paper describes an XML-based language that has been developed for the R&D pipeline management problem, with the keywords, structural syntax, and data content models for representing all aspects of the problem.
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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