Examples of using Language processing in English and their translations into Portuguese
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
products tor language processing demands an in-depth understanding of all aspects of natural language. .
semantic networks are used for knowledge representation and natural language processing.
The acquisition development and language processing are conditions more effectively nurture the teaching and learning of deaf students.
To assess to what degree an algorithm can associate messages were studied algorithms for text mining and natural language processing.
natural language processing(NLP), and bioinformatics.
sensory perception, language processing and attention in autistic children.
natural language processing, and web data analytics.
The other major influence on the nature of the first Prolog was designed to facilitate natural language processing.
artificial intelligence, natural language processing, and computer-mediated language learning.
a course in Natural Language Processing, with no need for additional prerequisites.
natural language processing, planning, and robotics.
potentially hampering verbal language processing and thereby restricting communication
The correct interpretation of two ambiguous sentences is directly correlated to efficient language processing, formal schooling,
the involvement of EF in bilingual language processing makes bilingualism a form of linguistic multitasking[…]”, p.113.
Because conjunctions require more language processing than do nouns, the pauses preceding conjunctions are far longer than are those preceding nouns.
These activations overlap with regions involved in language processing such as Broca's area
Discourse is a natural form of communication, which can analyze language processing, organized in microlinguistic
Some natural language processing tasks can be learned from example corpora,
ELIZA is an early natural language processing computer program created from 1964 to 1966 at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum.
The development of natural language processing(pln) software is highly dependent on the good quality of what we call the linguistic corpus.