Sentence Boundary Disambiguation
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Sentence Boundary Disambiguation
Sentence boundary disambiguation (SBD), also known as sentence breaking, sentence boundary detection, and sentence segmentation, is the problem in natural language processing of deciding where sentences begin and end. Natural language processing tools often require their input to be divided into sentences; however, sentence boundary identification can be challenging due to the potential ambiguity of punctuation marks. In written English, a period may indicate the end of a sentence, or may denote an abbreviation, a decimal point, an ellipsis, or an email address, among other possibilities. About 47% of the periods in the Wall Street Journal corpus denote abbreviations. Question marks and exclamation marks can be similarly ambiguous due to use in emoticons, computer code, and slang. Some languages including Japanese and Chinese have unambiguous sentence-ending markers. Strategies The standard 'vanilla' approach to locate the end of a sentence: :(a) If it's a period, it ends a sentenc ...
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Natural Language Processing
Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, t ...
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Space (punctuation)
In writing, a space () is a blank area that separates words, sentences, syllables (in syllabification) and other written or printed glyphs (characters). Conventions for spacing vary among languages, and in some languages the spacing rules are complex. Inter-word spaces ease the reader's task of identifying words, and avoid outright ambiguities such as "now here" vs. "nowhere". They also provide convenient guides for where a human or program may start new lines. Typesetting can use spaces of varying widths, just as it can use graphic characters of varying widths. Unlike graphic characters, typeset spaces are commonly stretched in order to align text. The typewriter, on the other hand, typically has only one width for all characters, including spaces. Following widespread acceptance of the typewriter, some typewriter conventions influenced typography and the design of printed works. Computer representation of text facilitates getting around mechanical and physical limitations su ...
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Punctuation
Punctuation (or sometimes interpunction) is the use of spacing, conventional signs (called punctuation marks), and certain typographical devices as aids to the understanding and correct reading of written text, whether read silently or aloud. Another description is, "It is the practice, action, or system of inserting points or other small marks into texts in order to aid interpretation; division of text into sentences, clauses, etc., by means of such marks." In written English, punctuation is vital to disambiguate the meaning of sentences. For example: "woman, without her man, is nothing" (emphasizing the importance of men to women), and "woman: without her, man is nothing" (emphasizing the importance of women to men) have very different meanings; as do "eats shoots and leaves" (which means the subject consumes plant growths) and "eats, shoots, and leaves" (which means the subject eats first, then fires a weapon, and then leaves the scene). Truss, Lynne (2003). '' Eats, Shoots & ...
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Syllabification
Syllabification () or syllabication (), also known as hyphenation, is the separation of a word into syllables, whether spoken, written or signed. Overview The written separation into syllables is usually marked by a hyphen when using English orthography (e.g., syl-la-ble) and with a period when transcribing the actually spoken syllables in the International Phonetic Alphabet (e.g., ). For presentation purposes, typographers may use an interpunct (Unicode character U+00B7, e.g., syl·la·ble), a special-purpose "hyphenation point" (U+2027, e.g., syl‧la‧ble), or a space (e.g., syl la ble). At the end of a line, a word is separated in writing into parts, conventionally called "syllables", if it does not fit the line and if moving it to the next line would make the first line much shorter than the others. This can be a particular problem with very long words, and with narrow columns in newspapers. Word processing has automated the process of justification, making syl ...
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Word Divider
In punctuation, a word divider is a glyph that separates written words. In languages which use the Latin, Cyrillic, and Arabic alphabets, as well as other scripts of Europe and West Asia, the word divider is a blank space, or ''whitespace''. This convention is spreading, along with other aspects of European punctuation, to Asia and Africa, where words are usually written without word separation. In computing, the word delimiter is used to refer to a character that separates two words. In character encoding, word segmentation depends on which characters are defined as word dividers. History In Ancient Egyptian, determinatives may have been used as much to demarcate word boundaries as to disambiguate the semantics of words. Rarely in Assyrian cuneiform, but commonly in the later cuneiform Ugaritic alphabet, a vertical stroke 𒑰 was used to separate words. In Old Persian cuneiform, a diagonally sloping wedge 𐏐 was used. As the alphabet spread throughout the ancient wor ...
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Sentence Spacing
Sentence spacing concerns how spaces are inserted between sentences in typeset text and is a matter of typographical convention. Since the introduction of movable-type printing in Europe, various sentence spacing conventions have been used in languages with a Latin alphabet. These include a normal word space (as between the words in a sentence), a single enlarged space, and two full spaces. Until the 20th century, publishing houses and printers in many countries used additional space between sentences. There were exceptions to this traditional spacing method—some printers used spacing between sentences that was no wider than word spacing. This was '' French spacing''—a term synonymous with single-space sentence spacing until the late 20th century. With the introduction of the typewriter in the late 19th century, typists used two spaces between sentences to mimic the style used by traditional typesetters. Bringhurst 2004. p. 28. While wide sentence spacing was phased ou ...
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Stanford NLP
Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. The campus occupies , among the largest in the United States, and enrolls over 17,000 students. Stanford is considered among the most prestigious universities in the world. Stanford was founded in 1885 by Leland and Jane Stanford in memory of their only child, Leland Stanford Jr., who had died of typhoid fever at age 15 the previous year. Leland Stanford was a U.S. senator and former governor of California who made his fortune as a railroad tycoon. The school admitted its first students on October 1, 1891, as a coeducational and non-denominational institution. Stanford University struggled financially after the death of Leland Stanford in 1893 and again after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, provost of Stanford Frederick Terman inspired and supported faculty and graduates' entrepreneurialism t ...
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Natural Language Toolkit
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook. NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning. NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems. There are 32 universities in the US and 25 countries using NLTK in their courses. NLTK suppor ...
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Freeling (software)
Freeling may refer to: * Major-General Sir Arthur Henry Freeling, Surveyor-General of South Australia from 1849 to 1861 **Freeling, South Australia, a small town, named for Arthur Freeling *Christian Freeling Christian Freeling (born 1 February 1947, in Enschede, Netherlands) is a Dutch game designer and inventor of abstract strategy games, notably Dameo, Grand Chess, Havannah, and Hexdame. Freeling's designs cover a range of game types. Several o ..., Dutch game designer and inventor/author of various chess variants *Sir Francis Freeling, first baronet (1764–1836), postal administrator and book collector (''ODNB'') * Nicolas Freeling, crime writer *Freeling is the surname of the main character Carol Anne and her family in the Poltergeist (film) trilogy as well as in the novelizations based on the films. {{disambig ...
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OpenNLP
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution. These tasks are usually required to build more advanced text processing services. See also * Unstructured Information Management Architecture (UIMA) * General Architecture for Text Engineering (GATE) * cTAKES References External linksApache OpenNLP Website {{Apache Software Foundation Natural language processing Statistical natural language processing Natural language processing toolkits OpenNLP The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named en ... Java (programming langu ...
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Perl Compatible Regular Expressions
Perl Compatible Regular Expressions (PCRE) is a library written in C, which implements a regular expression engine, inspired by the capabilities of the Perl programming language. Philip Hazel started writing PCRE in summer 1997. PCRE's syntax is much more powerful and flexible than either of the POSIX regular expression flavors (BRE, ERE) and than that of many other regular-expression libraries. While PCRE originally aimed at feature-equivalence with Perl, the two implementations are not fully equivalent. During the PCRE 7.x and Perl 5.9.x phase, the two projects have coordinated development, with features being ported between them in both directions. In 2015 a fork of PCRE was released with a revised programming interface (API). The original software, now called PCRE1 (the 1.xx–8.xx series), has had bugs mended, but no further development. , it is considered obsolete, and the current 8.45 release is likely to be the last. The new PCRE2 code (the 10.xx series) has had a numb ...
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