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These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space.
Recontextualisation is a process that extracts text, signs or meaning from its original context (decontextualisation) and reuses it in another context. [1] Since the meaning of texts, signs and content is dependent on its context, recontextualisation implies a change of meaning and redefinition. [1]
Dictogloss is a language teaching technique that is used to teach grammatical structures, in which students form small groups and summarize a target-language text. [1] First, the teacher prepares a text that contains examples of the grammatical form to be studied. [2] The teacher reads the text to the students at normal speed while they take ...
To reconstruct the original text, the context must be considered. In papyrology and textual criticism, this may lead to competing reconstructions and interpretations. Published texts that contain lacunae often mark the section where text is missing with a bracketed ellipsis.
Analyzed Layout and Text Object (ALTO) is an open XML Schema developed by the EU-funded project called METAe. [1] The standard was initially developed for the description of text OCR and layout information of pages for digitized material. The goal was to describe the layout and text in a form to be able to reconstruct the original appearance ...
He then went to the computer and saw a text message asking him to check his email. Bernard said many people reached out to him after seeing the TikTok or the LinkedIn post, some GM employees who ...
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