Basis Technology Corp.
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Basis Technology Corp.
BasisTech is a software company specializing in applying artificial intelligence techniques to understanding documents and unstructured data written in different languages. It has headquarters in Somerville, Massachusetts and offices in San Francisco, Washington, D.C., London, Tel Aviv, and Tokyo. Its legal name is Basis Technology Corp. The company was founded in 1995 by graduates of the Massachusetts Institute of Technology to use artificial intelligence techniques for natural language processing to help computer systems understand written human language. Its software focuses on analyzing freeform text so that applications can do a better job understanding the meaning of the words. For example, their software can identify tokens, part-of-speech, and lemmas. The tools can also identify different forms of names and phrases. The name of someone, say Albert P. Jones for instance, can appear in many different ways. Some texts will call him "Al Jones", others "Mr. Jones" and others "Al ...
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Private Company
A privately held company (or simply a private company) is a company whose shares and related rights or obligations are not offered for public subscription or publicly negotiated in the respective listed markets, but rather the company's stock is offered, owned, traded, exchanged privately, or Over-the-counter (finance), over-the-counter. In the case of a closed corporation, there are a relatively small number of shareholders or company members. Related terms are closely-held corporation, unquoted company, and unlisted company. Though less visible than their public company, publicly traded counterparts, private companies have major importance in the world's economy. In 2008, the 441 list of largest private non-governmental companies by revenue, largest private companies in the United States accounted for ($1.8 trillion) in revenues and employed 6.2 million people, according to ''Forbes''. In 2005, using a substantially smaller pool size (22.7%) for comparison, the 339 companies on ...
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Language Identification
In natural language processing, language identification or language guessing is the problem of determining which natural language given content is in. Computational approaches to this problem view it as a special case of text categorization, solved with various statistical methods. Overview There are several statistical approaches to language identification using different techniques to classify the data. One technique is to compare the compressibility of the text to the compressibility of texts in a set of known languages. This approach is known as mutual information based distance measure. The same technique can also be used to empirically construct family trees of languages which closely correspond to the trees constructed using historical methods. Mutual information based distance measure is essentially equivalent to more conventional model-based methods and is not generally considered to be either novel or better than simpler techniques. Another technique, as described ...
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Software Companies Based In Massachusetts
Software is a set of computer programs and associated software documentation, documentation and data (computing), data. This is in contrast to Computer hardware, hardware, from which the system is built and which actually performs the work. At the low level language, lowest programming level, executable code consists of Machine code, machine language instructions supported by an individual Microprocessor, processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). Machine language consists of groups of Binary number, binary values signifying Instruction set architecture, processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction System call, may also invoke one of many Input/output, input or output operations, for example displaying some text on ...
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Autopsy (software)
Autopsy is computer software that makes it simpler to deploy many of the open source programs and plugins used in The Sleuth Kit. The graphical user interface displays the results from the forensic search of the underlying volume making it easier for investigators to flag pertinent sections of data. The tool is largely maintained by Basis Technology Corp. with the assistance of programmers from the community. The company sells support services and training for using the product. The tool is designed with these principles in mind: * ''Extensible'' — the user should be able to add new functionality by creating plugins that can analyze all or part of the underlying data source. * ''Centralised'' — the tool must offer a standard and consistent mechanism for accessing all features and modules. * ''Ease of Use'' — the Autopsy Browser must offer the wizards and historical tools to make it easier for users to repeat their steps without excessive reconfiguration. * ''Multiple Users ...
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Sleuth Kit
The Sleuth Kit (TSK) is a library and collection of Unix- and Windows-based utilities for extracting data from disk drives and other storage so as to facilitate the forensic analysis of computer systems. It forms the foundation for Autopsy, a better known tool that is essentially a graphical user interface to the command line utilities bundled with The Sleuth Kit. The collection is open source and protected by the GPL, the CPL and the IPL. The software is under active development and it is supported by a team of developers. The initial development was done by Brian Carrier who based it on The Coroner's Toolkit. It is the official successor platform. The Sleuth Kit is capable of parsing NTFS, FAT/ExFAT, UFS 1/2, Ext2, Ext3, Ext4, HFS, ISO 9660 and YAFFS2 file systems either separately or within disk images stored in raw ( dd), Expert Witness or AFF formats. The Sleuth Kit can be used to examine most Microsoft Windows, most Apple Macintosh OSX, many Linux and some ot ...
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Digital Forensics
Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery, investigation, examination and analysis of material found in digital devices, often in relation to mobile devices and computer crime. The term digital forensics was originally used as a synonym for computer forensics but has expanded to cover investigation of all devices capable of storing digital data. With roots in the personal computing revolution of the late 1970s and early 1980s, the discipline evolved in a haphazard manner during the 1990s, and it was not until the early 21st century that national policies emerged. Digital forensics investigations have a variety of applications. The most common is to support or refute a hypothesis before criminal or civil courts. Criminal cases involve the alleged breaking of laws that are defined by legislation and that are enforced by the police and prosecuted by the state, such as murder, theft and assault agai ...
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Arabic Chat Alphabet
The Arabic chat alphabet, ''Arabizi'', Franco-Arabic (), refer to the Romanized alphabets for informal Arabic dialects in which Arabic script is transcribed or encoded into a combination of Latin script and Arabic numerals. These informal chat alphabets were originally used primarily by youth in the Arab world in very informal settings—especially for communicating over the Internet or for sending messages via cellular phones—though use is not necessarily restricted by age anymore and these chat alphabets have been used in other media such as advertising. These chat alphabets differ from more formal and academic Arabic transliteration systems, in that they use numerals and multigraphs instead of diacritics for letters such as qāf () or Ḍād () that do not exist in the basic Latin script (ASCII), and in that what is being transcribed is an informal dialect and not Standard Arabic. These Arabic chat alphabets also differ from each other, as each is influenced by the parti ...
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Regular Expression
A regular expression (shortened as regex or regexp; sometimes referred to as rational expression) is a sequence of characters that specifies a search pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation. Regular expression techniques are developed in theoretical computer science and formal language theory. The concept of regular expressions began in the 1950s, when the American mathematician Stephen Cole Kleene formalized the concept of a regular language. They came into common use with Unix text-processing utilities. Different syntaxes for writing regular expressions have existed since the 1980s, one being the POSIX standard and another, widely used, being the Perl syntax. Regular expressions are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Most gener ...
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Word Stem
In linguistics, a word stem is a part of a word responsible for its lexical meaning. The term is used with slightly different meanings depending on the morphology of the language in question. In Athabaskan linguistics, for example, a verb stem is a root that cannot appear on its own and that carries the tone of the word. Athabaskan verbs typically have two stems in this analysis, each preceded by prefixes. In most cases, a word stem is not modified during its declension, while in some languages it can be modified (apophony) according to certain morphological rules or peculiarities, such as sandhi. For example in Polish: ("city"), but ("in the city"). In English: "sing", "sang", "sung". Uncovering and analyzing cognation between word stems and roots within and across languages has allowed comparative philology and comparative linguistics to determine the history of languages and language families. Usage In one usage, a word stem is a form to which affixes can be attached. T ...
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Categorization
Categorization is the ability and activity of recognizing shared features or similarities between the elements of the experience of the world (such as Object (philosophy), objects, events, or ideas), organizing and classifying experience by associating them to a more abstract group (that is, a category, class, or type), on the basis of their traits, features, similarities or other criteria that are Universal (metaphysics), universal to the group. Categorization is considered one of the most fundamental cognitive abilities, and as such it is studied particularly by psychology and cognitive linguistics. Categorization is sometimes considered synonymous with classification (cf., Classification (general theory)#Synonyms and near-synonyms, Classification synonyms). Categorization and classification allow humans to organize things, objects, and ideas that exist around them and simplify their understanding of the world. Categorization is something that humans and other organisms ''do ...
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Relationship Extraction
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from text or XML documents. The task is very similar to that of information extraction (IE), but IE additionally requires the removal of repeated relations ( disambiguation) and generally refers to the extraction of many different relationships. Concept and applications The concept of relationship extraction was first introduced during the 7th Message Understanding Conference in 1998. Relationship extraction involves the identification of relations between entities and it usually focuses on the extraction of binary relations. Application domains where relationship extraction is useful include gene-disease relationships, protein-protein interaction etc. Current relationship extraction studies use machine learning technologies, which approach relationship extraction as a classification problem. Never-Ending Language Learning is a semantic ...
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Semantic Similarity
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information supporting their meaning or describing their nature. The term semantic similarity is often confused with semantic relatedness. Semantic relatedness includes any relation between two terms, while semantic similarity only includes "is a" relations. For example, "car" is similar to "bus", but is also related to "road" and "driving". Computationally, semantic similarity can be estimated by defining a topological similarity, by using ontologies to define the distance between terms/concepts. For example, a naive metric for the comparison of concepts order ...
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