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In a reverse word dictionary, the entries are alphabetized by the last letter first, then next to last, and so on. [1] [2] In them, words with the same suffix appear together. This can be useful for linguists and poets looking for words ending with a particular suffix, or by an epigrapher or forensics specialist examining a damaged text (e.g. a ...
In theory, a reverse dictionary might go further than this, allowing you to find a word by its definition only (for example, to find the word "doctor" knowing only that he is a "person who cures disease"). Such dictionaries have become more practical with the advent of computerized information-storage and retrieval systems (i.e. computer ...
The word boundary between such numeric portions and an alphabetic portions may include grey-space or not, but a phrase search turns off portioning, because it is an "exact phrase search", the words in the phrase matching only alphanumeric words delimited by grey-space.
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
Some online dictionaries are organized as lists of words, similar to a glossary, while others offer search features, reverse lookups, and additional language tools and content such as verb conjugations, grammar references, and discussion forums. The variety of online dictionaries for specialized topics is enormous, covering a wide range of ...
A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is conceptually similar to the information provided in a search query. In other words, the ideas expressed in ...
Reverso Context is an online and mobile application combining big data from large multilingual corpora to allow users to search for translations in context. [12] [13] These texts are sourced mainly from films, books, and governmental documents, allowing users to see idiomatic usages of translations as well as synonyms and voice output.
After parsing, the indexer adds the referenced document to the document list for the appropriate words. In a larger search engine, the process of finding each word in the inverted index (in order to report that it occurred within a document) may be too time consuming, and so this process is commonly split up into two parts, the development of a ...