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Word order is the means most used by modern Romance languages to show the grammatical relationship between words; statistically the most-frequent order in statements is subject verb object.
The couplets with parallel lines contain contrasting content but an identical grammatical relationship between words.
In English, the order of words in a sentence generally indicates the grammatical relationship between the various entities.
In these strings, words from different grammatical categories (e.g., noun, verb, pronoun) combine following grammatical structure-building constraints, and the comprehension of these structures requires consideration of this grammatical relationship, beyond simple activation of the lexical representations of the constituents.
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The features shared include a tendency toward use of separate words rather than affixes to express grammatical relationships, a basic five-vowel system, and several common phonetic simplifications of the original Austronesian sound system.
Typed dependencies provide a representation of syntactic grammatical relationships in a sentence (or tweet in this case) that can be used as features for classification, and have the potential to capture othering language.
We will not discuss here all possible types of grammatical relationships and all kinds of challenges that arise in the task of linking constraints declaration, let us consider several examples for the sake of illustration.
We used text parsing to extract typed dependencies, which represent syntactic and grammatical relationships between words, and are shown to capture 'othering' language - consistently improving machine classification for different types of cyber hate beyond the use of a Bag of Words and known hateful terms, which have been the main method for identifying cyber hate previously.
We use text parsing to extract typed dependencies, which represent syntactic and grammatical relationships between words, and are shown to capture 'othering' language - consistently improving machine classification for different types of cyber hate beyond the use of a Bag of Words and known hateful terms.
Language, in its many forms and dialects, is a beguiling scientific notion: an innate, thoroughly unique human capacity that allows people to form complex and unending grammatical relationships.
More specifically, they are generated by analyzing the logical and grammatical relationships among the input features and the resulting outcomes.
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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