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This information could be used to design better classification algorithms, where discourse variables should be taken into account.
The research presented in this paper aims to check whether discourse variables have an impact on modern information retrieval and classification algorithms.
These demonstrate that n-grams does not appear to have a clear dependence on discourse variables, though the k-means classification algorithm does, but only on domain terminology and document structure, and finally Chen's algorithm has a clear dependence on all of the discourse variables.
In order to evaluate this hypothesis, a functional framework for information analysis in an automated environment has been proposed, where the n-grams (filtering) and the k-means and Chen's classification algorithms have been tested against sub-collections of documents based on the following discourse variables: "Genre", "Register", "Domain terminology", and "Document structure".
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As the point of departure for this analysis, we calculated the frequency with which the lexical items babies and toddlers appear in the EYLF, relative to the total occurrence of the superordinate terms children and learners, as the presence or omission of naming of entities is an important discourse variable.
Four triangular MBFs with centroids of the very large (VL), large (L), medium (M), and small (S), respectively, are selected to cover the entire universe of discourse for variables e2, Δe2, and p. Below are the links to the authors' original submitted files for images.
Most European languages are now documented in spoken discourse corpora of variable size, but only English currently disposes of several mid-size and large resources.
In classroom discourse, each register variable is realised in particular discourse semantic structures that are mapped together in each step of the unfolding genre.
The domain or universe of discourse for a variable can be defined by any real numbers.
In rule-based simulations the meaning of "low" and "high" are determined by the dynamic range or universe of discourse for each variable.
Table 1 Register variables and discourse semantic patterns register pedagogic relations pedagogic activity pedagogic modalities knowledge & values discourse semantics roles & participation in teacher/learner exchanges phases in learning activities sources of meanings experiential & interpersonal elements & relations.
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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