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Finally, it may be possible to refine the relevance score by utilizing natural language processing algorithms in ascertaining the relation between words.
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By analyzing use case narratives utilizing natural language processing techniques and applying collaboration patterns and heuristics, this methodology can determine missing and invalid model elements to guide the analyst in creating object models that are consistent with the requirements specified in a set of use case narratives.
This article reports on a comprehensive study on resolving the ambiguity in mentions of biomedical named entities with respect to model organisms and presents an array of approaches, with focus on methods utilizing natural language parsers.
The dependence relationship between two words is learned by a natural language module.
In the end by applying natural language processing techniques, we accomplish two things.
Bigger players are experimenting with these kinds of local, activity-based searches by using natural language processing and other technologies.
There has been some research in incorporating syntactic and semantic relations produced by a natural language parser in language modelling.
The filtered dataset is then pre-processed by several natural language processing components.
Therefore, the search algorithm used may be aided by a natural language processing approach to algorithm development.
This has only been made possible by advances in natural language processing and voice recognition.
Consistent with this point is that in §256 Wittgenstein suggests that one cannot arrive at the idea of a private language by considering a natural language: natural languages are not private, for our sensations are expressed.
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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