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Text world theory is a cognitive model of language processing which aims to explain how people construct meaning from language. [1] Text world theory and schema theory seek to help people understand how we process language and create mental representations when we read or listen to something. [1] This theory figuratively describes a piece of ...
As an example, processing text used in medical records is a very different problem than processing news articles or real estate advertisements. The process of developing text segmentation tools starts with collecting a large corpus of text in an application domain. There are two general approaches: Manual analysis of text and writing custom ...
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
Text linguistics is a branch of linguistics that deals with texts as communication systems.Its original aims lay in uncovering and describing text grammars.The application of text linguistics has, however, evolved from this approach to a point in which text is viewed in much broader terms that go beyond a mere extension of traditional grammar towards an entire text.
In a translation corpus, the texts in one language are translations of texts in the other language. In a comparable corpus, the texts are of the same kind and cover the same content, but they are not translations of each other. [2] To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences ...
Language processing is considered to be a uniquely human ability that is not produced with the same grammatical understanding or systematicity in even human's closest primate relatives. [ 1 ] Throughout the 20th century the dominant model [ 2 ] for language processing in the brain was the Geschwind–Lichteim–Wernicke model , which is based ...
It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a ...
Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected.Text corpora are used by corpus linguists and within other branches of linguistics for statistical analysis, hypothesis testing, finding patterns of language use, investigating language change and variation, and teaching language proficiency.