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Verb- or adjective-derived nouns were excluded in order to control for syntactic word category.
Now that the derived anticipation contradicts with our observations, it seems unfeasible that the connection was established beyond syntactic word ordering.
One argument for the selection of syntactic word category is that substitution errors in speaking usually occur in the same syntactic category.
From a theoretical viewpoint, one might well assume that syntactic gender should become activated in noun production even if it is not needed, since syntactic word category information, which is not needed either in bare noun production, is nonetheless assumed to be activated in bare noun production (Levelt et al. 1999).
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This measure is necessary because we do not perform standard stopwording to the text, meaning that we do not remove syntactic words (like "the", "and", etc).
Our proposed approaches exploit a rich set of linguistic features, both syntactic and word surface-oriented, which are further enriched by task-specific features and regular expression template patterns to characterize the semantics of various PHI categories.
Possible topics include methods for handling underlying linguistic phenomena (e.g., syntactic analysis, word sense disambiguation and discourse analysis) and vital emerging applications (e.g., machine translation, sentiment analysis, summarization and information extraction).
To account for semantically based syntactic properties, words may come with "instructions" that are not, however, constitutive of a word's meaning like meaning postulates (which Borg rejects), though awareness of them is part of a speaker's competence.
The N-best rescoring based on syntactic level word-stress unit alignment was shown to augment the number of correctly recognized words.
Finally, there is the SUBTLEX-CH-WF_PoS file, which contains information about the frequencies of the different syntactic roles words play.
We used this paradigm in the present functional magnetic resonance imaging (fMRI) experiment to obtain a measure of the ability of listeners to construct semantic and syntactic sentential representations word by word as the sentence unfolds over time.
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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