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e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
Word processor. A word processor ( WP) [1] [2] is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features. Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers.
1. In software engineering and computer science, the process of removing physical, spatial, or temporal details [2] or attributes in the study of objects or systems in order to more closely attend to other details of interest; [3] it is also very similar in nature to the process of generalization. 2.
Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...
Bag-of-words model. The bag-of-words model is a model of text which uses a representation of text that is based on an unordered collection (or "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus any non-trivial notion of grammar [clarification needed]) but captures ...
Text corpus. In linguistics and natural language processing, a corpus ( pl.: corpora) or text corpus is a dataset, consisting of natively digital and older, digitalized, language resources, either annotated or unannotated. Annotated, they have been used in corpus linguistics for statistical hypothesis testing, checking occurrences or validating ...
Stemming. In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The stem need not be identical to the morphological root of the word; it is usually sufficient that related words map to the same stem ...
In this environment there was very little distinction between text editors and word processors. These applications typically used an arbitrary markup language to define the codes/tags. Each program had its own special way to format a document, and it was a difficult and time-consuming process to change from one word processor to another.