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Particularly in terms of the dynamic dual pathway model the authors argue, that segmental information (phonemes, syntactic and lexial semantic elements) are primarily processed in a left hemisphere temporo-frontal pathway whereas suprasegmental information (sentence level prosody) is processed in a right hemispheric temporo-frontal pathway.
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The key part of the ExaCT system is its IE engine, which extracts pieces of information (sentences and/or text fragments) from a trial publication to fill slots in the pre-defined template.
They should start with some brief BACKGROUND information: a sentence giving a broad introduction to the field comprehensible to the general reader, and then a sentence of more detailed background specific to your study.
It seems that information like sentence and document structures is not very crucial for sentiment analysis.
Teachers, both practising and pre-service, generally have some knowledge about language as an object, usually including the text structures of particular school genres and information about sentence structure and word classes.
Instead of simply conveying information this sentence poses a question: "over their what?" Who owns the thing this "he" fellow is going over?
It has been suggested that semantic information during sentence processing should be subdivided into associative memory-based semantic relationships on the one hand and semantic-thematic relationships on the other hand, which – in turn – have implications for sentence structure [21].
In contrast, the interplay of context and target in condition GF renders all information in sentence F3 non-focused or given.
In 8/32 proposals (25%), where less than one paragraph was given, often the same information or sentence was repeated in several sections of the proposal.
Raj Rajaratnam, a hedge-fund manager and friend to whom Mr Gupta allegedly passed confidential information, was sentenced on October 13th to 11 years in jail, the longest insider-trading sentence ever doled out in America.
Knight et al. [ 5] showed that Machine Learning could be applied to label structural information of sentences (i.e. Introduction, Method, Results or Conclusion) using a combination of relative sentence position and word distribution.
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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