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Collocation extraction is the task of using a computer to extract collocations automatically from a corpus.. The traditional method of performing collocation extraction is to find a formula based on the statistical quantities of those words to calculate a score associated to every word pairs.
BitTorrent sites may operate a BitTorrent tracker and are often referred to as such. Operating a tracker should not be confused with hosting content. A directory allows users to browse the content available on a website based on various categories.
Skilled users of the language can produce effects such as humor by varying the normal patterns of collocation. This approach is popular with poets, journalists and advertisers. Collocations may seem natural to native writers and speakers, but are not obvious to non-native speakers.
The BitTorrent client enables a user to search for and download torrent files using a built-in search box ("Search for torrents") in the main window, which opens the BitTorrent torrent search engine page with the search results in the user's default web browser. The current client includes a range of features, including multiple parallel downloads.
Word sketch of verb "read" in the British National Corpus in Sketch Engine A word sketch is a one-page, automatic, corpus-derived summary of a word’s grammatical and collocational behaviour. Word sketches were first introduced by the British corpus linguist Adam Kilgarriff [ 1 ] and exploited within the Sketch Engine [ 2 ] corpus management ...
Users find a torrent of interest on a torrent index site or by using a search engine built into the client, download it, and open it with a BitTorrent client. The client connects to the tracker(s) or seeds specified in the torrent file, from which it receives a list of seeds and peers currently transferring pieces of the file(s).
qBittorrent is a cross-platform free and open-source BitTorrent client written in native C++. It relies on Boost, OpenSSL, zlib, Qt 6 toolkit and the libtorrent-rasterbar library (for the torrent back-end), with an optional search engine written in Python. [8] [9]
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...