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  1. Shallow parsing

    Unreferenced stub auto yes date December 2009 Shallow parsing also chunking , light parsing is an analysis of a Sentence linguistics sentence which identifies the constituents noun groups, verb s, verb groups, etc. , but does not specify their internal structure, nor their role in the main sentence. It is a technique widely used in natural language processing . It is similar to the concept of lexical analysis for computer languages. External links http l2r.cs.uiuc.edu cogcomp asoftware.php?skey FLBJCHUNK Illinois Shallow Parser Shallow Parser http l2r.cs.uiuc.edu cogcomp demo.php?dkey SP Demo http incubator.apache.org opennlp index.html Apache OpenNLP includes a chunker. References Citation last1 Abney first1 Steven title Parsing By Chunks booktitle Principle Based Parsing year 1991 pages 257 278 publisher Kluwer Academic Publishers url http www.vinartus.net spa 90e.pdf . See also Parser DEFAULTSORT Shallow Parsing Category Natural language parsing Category Tasks of Natural language processing Ling stub ca An lisi sint ctica superficial es An lisis sint ctico superficial fr Analyse syntaxique de surface ja pl P ytki parsing ...   more details



  1. Morphological parsing

    The goal of morphological parsing is to find out what morphemes a given word is built from. It should be able to distinguish between orthographic rules and morphological rules . For example, the word foxes can be decomposed into fox the stem , and es a suffix indicating plurality . The generally accepted approach to morphological parsing is through a finite state transducer FST that inputs words and outputs their stem and modifiers. This FST is initially created through algorithmic parsing of some word source, such as a dictionary complete with modifier markups. Another approach is an indexed lookup through a constructed Radix tree . This is not an often taken route because it breaks down for morphologically complex languages. Category Grammar Category Linguistic morphology Category Natural language parsing ...   more details



  1. Deterministic parsing

    In natural language processing , deterministic parsing refers to parsing algorithm s that do not Backtracking back up . LR parser LR parsers are an example. This meaning of the words deterministic and non deterministic differs from that used to describe nondeterministic algorithm s. The deterministic behavior is desired and expected in Compiler compiling programming language s. In natural language processing, it was thought for a long time that deterministic parsing is impossible due to ambiguity inherent in natural languages many sentences have more than one plausible parse . Thus, non deterministic approaches such as the chart parser had to be applied. However, Mitch Marcus proposed in 1978 the Parsifal parser that was able to deal with ambiguities while still keeping the deterministic behavior. See also Deterministic context free grammar References Alfred V. Aho , Stephen C. Johnson , Jeffrey D. Ullman 1975 Deterministic parsing of ambiguous grammars. Comm. ACM 18 8 441 452. Mitchell Marcus 1978 A Theory of Syntactic Recognition for Natural Language. PhD Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Comp sci stub Category Parsing ...   more details



  1. Scannerless parsing

    Scannerless parsing also called lexerless parsing refers to the use of a single formalism to express both the lexical and context free syntax used to parse a language. This parsing strategy is suitable when a clear lexer parser distinction is unneeded. Examples of when this is appropriate include TeX , most wiki grammars, makefiles, and simple per application control languages. Advantages Only one metasyntax is needed Non regular lexical structure is handled easily Token classification is unneeded which removes the need for design accommodations such as the lexer hack and language keywords such as while in C programming language C Grammars can be compositional can be merged without human intervention ref compositional Disadvantages Since the lexical scanning and syntactic parsing processing is combined, the resulting parser tends to be harder to understand and debug for more complex languages Most parsers of character level grammars are nondeterministic There is no guarantee that the language being parsed is unambiguous Required extensions Unfortunately, when parsed at the character level, most popular programming language s are no longer strictly context free. Visser identified five key extensions to classical context free syntax which handle almost all common non context free constructs arising in practice Follow restrictions , a limited form of longest match Reject productions , a limited form of negative matching as found in boolean grammar s Preference attributes to handle ... Formalism SDF . TXL programming language TXL supports character level parsing. http dparser.sourceforge.net ... allows for both scannerless and scanner based parsing. Scannerless Boolean Parser SBP is a scannerless ... parsing at the character level makes the language recognized by the parser a single context free ... Visser, E. 1997b . Scannerless generalized LR parsing. Technical Report P9707, Programming Research Group, University of Amsterdam Category Parsing algorithms pt An lise sint tica sem varredura ...   more details



  1. Parsing table

    This page is about LR parsing tables, there are also LL Parsing table LL parsing tables which are substantially different. A parsing table is the part of a parser that makes decisions about how to treat input tokens in compiler development. Overview A parsing table is a table describing what action its parser should take when a given input comes while it is in a given state. It is a tabular representation of a pushdown automaton that is generated from the context free grammar of the language to be parsed. This is possible because the set of viable prefix es that is, the sequence of input that can be set aside before a parser needs to either perform a reduction or return an error of a context free language is a regular language , so the parser can use a simple parse state table to recognize each viable prefix and determine what needs to be done next. A parsing table is used with a stack and an input buffer. The stack starts out empty, and symbols are shifted onto it one by one from the input buffer with associated states in each step, the parsing table is consulted to decide what action to take. More simply, an Action table defines what to do when a terminal symbol is encountered, and a goto table defines what to do when a nonterminal is encountered. The parsing table consists of two parts, the action table and the goto table. The action table takes the state at the top of the stack and the next symbol in the input buffer called the lookahead symbol and returns the action to take, and the next state to push onto the stack. The goto table returns the next state for the parser ... . For example, a parsing table might take a current position in state 1 and an input of from the input ... stream and looks up the empty token in the parsing table. The table contains an instruction, for example ... generating parsing tables , by Professor Alessandro Artale , researcher and lecturer at the Free University of Bolzano from page 41 . Category Parsing algorithms pl Tabela parsowania zh ...   more details



  1. Statistical parsing

    Statistical parsing is a group of parsing methods within natural language processing . The methods have in common that they associate grammar rules with a probability. Grammar rules are traditionally viewed in computational linguistics as defining the valid sentences in a language. Within this mindset, the idea of associating each rule with a probability then provides the relative frequency of any given grammar rule and, by deduction, the probability of a complete parse for a sentence. The probability associated with a grammar rule may be induced, but the application of that grammar rule within a parse tree and the computation of the probability of the parse tree based on its component rules is a form of deduction. Using this concept, statistical parsers make use of a procedure to search over a space of all candidate parses, and the computation of each candidate s probability, to derive the most probable parse of a sentence. The expectation maximization algorithm is one popular method of searching for the most probable parse. Search in this context is an application of the very useful search algorithm in artificial intelligence . By way of example, think about the sentence The can can hold water . A reader would instantly see that there is an object called the can and that this object is performing the action can i.e. is able to and the thing the object is able to do is hold and the thing ... of methods that statistical parsing algorithms frequently use. While few algorithms will use all of these they give a good overview of the general field. Most statistical parsing algorithms are based on a modified form of chart parsing . The modifications are necessary to support an extremely ... separately Viterbi algorithm . Notable people in statistical parsing Eugene Charniak Author of http www.cs.brown.edu people ec home.html Statistical techniques for natural language parsing ... methods See also Stochastic context free grammar Category Natural language parsing Category Statistical ...   more details



  1. File:Parsing example.svg

    Summary This image illustrates the parsing process for a mathematical expression. The expression is transformed into a structured representation a Parse tree which can then be used to evaluate or manipulate the expression. Image created based on Image Parsing example.png public domain Createdwith Inkscape Licensing PD self date October 2007 ...   more details



  1. Top-down parsing

    Top down parsing is a a type of parsing strategy wherein one first looks at the highest level of the parse ... of parser that uses a top down parsing strategy. Top down parsing is a strategy of analyzing ... of both natural language s and computer language s. Top down parsing can be viewed as an attempt ... of top down parsing do not terminate for left recursion left recursive grammars, and top down parsing with backtracking may have Exponential time exponential time complexity with respect to the length ..., J. D. 1972 The Theory of Parsing, Translation, and Compiling, Volume 1 Parsing. Englewood ... Modular and Efficient Top Down Parsing for Ambiguous Left Recursive Grammars . 10th International Workshop on Parsing Technologies IWPT , ACL SIGPARSE , Pages 109 120, June 2007, Prague. ref ref ... do Accommodating left recursion in top down parsing accommodate ambiguity and left recursion in polynomial ... form production rules. An LL parser , is a type of parser that does top down parsing by applying each ... the parsing starts on the Left of the result side right side of the production rule and evaluates ... is a type of shift reduce parser, and does bottom up parsing . Accommodating left recursion in top down parsing A formal grammar that contains left recursion cannot be parsing parsed by a naive ... Frost, R. and Hafiz, R. 2006 A New Top Down Parsing Algorithm to Accommodate Ambiguity ... was extended to a complete parsing algorithm to accommodate indirect by comparing previously ... more about the algorithms and implementation details. Time and space complexity of top down parsing ... for automatic memoisation with applications to context free parsing. Journal Computational Linguistics ... grammars . Their top down parsing algorithm also requires polynomial space for potentially exponential ... representation is comparable with Tomita s compact representation of bottom up parsing . ref name Tomita1985 Tomita, M. 1985 Efficient Parsing for Natural Language. Kluwer, Boston, MA . ref Using PEG ...   more details



  1. Parsing expression grammar

    A parsing expression grammar , or PEG , is a type of analytic grammar analytic formal grammar , i.e. ... first Bryan p last Ford authorlink http www.brynosaurus.com title Parsing Expression Grammars A Recognition ... 729 X accessdate 2010 07 30 ref and is closely related to the family of Top down parsing language ... ambiguous if a string parses, it has exactly one valid parse tree . This makes PEGs well suited to parsing computer languages, but not natural language s. Definition Syntax Formally, a parsing expression ... s that is disjoint from N . A finite set P of parsing rules . An expression e sub S sub termed the starting expression . Each parsing rule in P has the form A e , where A is a nonterminal symbol and e is a parsing expression . A parsing expression is a hierarchical expression mathematics expression similar to a regular expression , which is constructed in the following fashion An atomic parsing expression ... parsing expressions e , e sub 1 sub , and e sub 2 sub , a new parsing expression can be constructed ... difference between context free grammars and parsing expression grammars is that the PEG ... grammar boolean context free grammars , parsing expression grammars also add the and and not predicates ... parse tree desired. Operational interpretation of parsing expressions Each nonterminal in a parsing expression grammar essentially represents a parsing function mathematics function in a recursive descent parser , and the corresponding parsing expression represents the code comprising the function. Each parsing function conceptually takes an input string as its argument, and yields one of the following ... from failure. An atomic parsing expression consisting of a single terminal succeeds if the first ... otherwise the expression yields a failure result. An atomic parsing expression consisting of the empty string always trivially succeeds without consuming any input. An atomic parsing expression consisting ... letters to be in quotes. The parsing expression a b matches and consumes an arbitrary length sequence ...   more details



  1. Bottom-up parsing

    Bottom up parsing is a strategy for analyzing unknown information that attempts to identify the most ... symbol , comprises all of the information being analyzed. Bottom up parsing occurs in the analysis of both natural language s and computer language s. It is contrasted with top down parsing , in which ... In linguistics , an example of bottom up parsing would be analyzing a sentence linguistics sentence ... The English language English sentence John hit the ball may be analysed by bottom up parsing ... parsing can lead to a complete sentence using these simplified rules, as once ball is chosen ... all possible parsings of the sentence if more than one parsing is possible, the sentence is ambiguity ..., bottom up parsing is a parsing method that works by identifying terminal symbol s first, and combines ... or pseudocode . Different computer languages require different parsing techniques, although it is not uncommon to use a parsing technique that is more powerful than that actually required. It is common for bottom up parsers to take the form of general parsing engines, which can either parse, or generate ... units are a , , x , , and 12 . A parsing strategy might look like this class wikitable Rule br used ... the parsing had to continue. As with the linguistics example above, other parsings are possible specifically ... also resulted in a successfully completed parsing thus, the grammar given is ambiguous. Unlike natural languages, computer languages cannot be ambiguous, so bottom up parsing for computer languages ... up parsers are LR parser LR parser Constructing LR 0 parsing tables LR 0 No lookahead symbol ... Bottom up parsing can also be done by backtracking . Shift reduce parsers The most common bottom .... In reality, in the case of LR parsing, the parse stack contains states, rather than grammar symbols ... the grammar symbol stack mentioned earlier. Algorithm Shift reduce parsing Start with the sentence ... the a ... Verb jumps sings ... Noun dog cat ... pre And the input the dog jumps Then the bottom up parsing ...   more details



  1. Top-down parsing language

    Top Down Parsing Language TDPL is a type of analytic grammar analytic formal grammar developed by Alexander Birman in the early 1970s in order to study formally the behavior of a common class of practical top down parsing top down parsers that support a limited form of backtracking . Birman originally named his formalism the TMG Schema TS , after TMG, an early parser generator , but the formalism was later given the name TDPL by Alfred V. Aho Aho and Jeffrey D. Ullman Ullman in their classic anthology The Theory of Parsing, Translation and Compiling . Definition of a TDPL grammar Formally, a TDPL grammar G is a tuple consisting of the following components A finite set N of nonterminal symbols . A finite set of terminal symbols that is disjoint from N . A finite set P of production rules , where a rule has one of the following forms A , where A is a nonterminal and is the empty string. A f , where f is a distinguished symbol representing unconditional failure . A a , where a is any terminal symbol. A BC D , where B , C , and D are nonterminals. Interpretation of a grammar A TDPL grammar can be viewed as an extremely minimalistic formal representation of a recursive descent parser , in which each of the nonterminals schematically represents a parsing function programming function . Each of these nonterminal functions takes as its input argument a string to be recognized, and yields one of two possible outcomes success , in which case the function may optionally move forward or consume one or more characters of the input string supplied to it, or failure , in which case no input is consumed. Note that a nonterminal function may succeed without actually consuming any input ... but much more succinctly in parsing expression grammar notation as S a b and S S , respectively ... and GTDPL can be viewed as very restricted forms of parsing expression grammar s. See also Formal ... Parsing and Parsing Expression Grammars Page Category formal languages ...   more details



  1. Data-oriented parsing

    Data oriented parsing DOP , also data oriented processing is a probabilistic parsing probabilistic grammar formalism in computational linguistics . DOP was conceived by Remko Scha in 1990 with the aim of developing a Linguistic performance performance oriented grammar framework. Unlike other probabilistic formalisms, DOP takes into account all subtrees contained in a treebank rather than being restricted to, for example, 2 level subtrees like stochastic context free grammar PCFGs . Several variants of DOP have been developed. The initial version was based on tree substitution grammar , while more recently, DOP has been combined with lexical functional grammar LFG . The resulting DOP LFG finds an application in machine translation . References http www.iaaa.nl rs DOP.html Remko Scha Research on DOP http staff.science.uva.nl rens dop.html DOP Homepage Andy Way 1999 . A hybrid architecture for robust MT using LFG DOP. Journal of Experimental & Theoretical Artificial Intelligence 11 3 441 471. references ling stub Category Grammar frameworks ...   more details



  1. Command-line argument parsing

    Merge to command line argument date May 2010 Different Command line argument parsing methods are used by different programming languages to parse command line argument s. Programming languages C Main C syntax Command line arguments C uses code argv code to process command line arguments. ref cite web url http publications.gbdirect.co.uk c book chapter10 arguments to main.html title The C Book Arguments to main publisher Publications.gbdirect.co.uk date accessdate 2010 05 31 ref Java An example of Java programming language Java argument parsing would be source lang java public class Echo public static void main String args for String s args System.out.println s source Perl Perl uses code ARGV code . PHP PHP uses code argc code as a count of arguments and code argv code as an array computing array containing the values of the arguments. ref cite web url http php.net manual en reserved.variables.argv.php title PHP Manual publisher PHP date accessdate 2010 05 31 ref ref wikibooks PHP Programming CLI ref To create an array from command line arguments in the code foo bar code format, the following might be used source lang php args parseArgs argv echo getArg args, foo function parseArgs args foreach args as arg tmp explode , arg, 2 if arg 0 args substr tmp 0 , 1 tmp 1 return args function getArg args, arg if isset args arg return args arg return false source PHP can also use code getopt code ref http php.net getopt ref Python Python programming language Python uses code sys.argv code , e.g. source lang python import sys for arg in sys.argv print arg source References Reflist Category Command shells ...   more details



  1. Message Parsing Interpreter

    The Message Parsing Interpreter MPI for short, not to be confused with the Message Passing Interface is a Lisp programming language Lisp like programming language based on text replacement that is used on Fuzzball MUCK Fuzzball MUCK Server computing server s, starting with version 2.2fb5.00. It is generally considered easier to learn and use than MUF programming language MUF , and enjoys a large popularity among Fuzzball MUCK users. Amusingly, MPI originally stood for My Personal Insanity &mdash a temporary project name used by the programmer when it was first implemented during a 3 week coding binge. It was later backronym ed to Message Parsing Interpreter to keep the acronym, yet sound more respectable. When online, the command MPI CATEGORY provides a listing of the available MPI topics arranged by function. The most common use for MPI is for report generation and formatting text strings, however it does support the creation of macros, conditional logic, and looping for a limited number of iterations. Command Structure MPI could be viewed as a form of markup language as instructions are encapsulated within bracket marks to differentiate them from regular text. The MPI command is specified first, followed by a colon, and then command arguments, separated by commas. If one of the arguments is a string that contains a comma, it is escaped by using a backslash or the tt lit tt for literal command. pre command argument1, argument2 pre Commands can be nested, taking the place of one or more arguments within the parent command to form more complex code pre tell name me just looked at name this ., owner this pre Hello World The standard Hello World program would look like this pre tell Hello World, me pre More complex substitution More complex code in MPI may become difficult to read. Some examples This sequence informs the user of the next database save pre Next scheduled save will occur at convsecs add prop sys dumpinterval, 0 , prop sys lastdumptime, 0 , being in ltimestr ...   more details



  1. File:Parsing Example.png

    Summary This is simple diagram that illustrates how information is transformed by a parser. Licensing PD self date November 2007 ...   more details



  1. File:GOLD flow.png

    Summary This is a flow diagram of the GOLD Parsing System. Licensing PD self date November 2007 ...   more details



  1. Left corner parser

    orphan date October 2009 A left corner parser is a type of chart parser used for parsing context free grammars . It combines the top down and bottom up approaches of parsing. The name derives from the use of the left corner of the grammar s production rules. References http cs.union.edu striegnk courses nlp with prolog html node53.html Left Corner Parsing Category Parsing algorithms ...   more details



  1. File:Maths sex is fun.png

    Summary Image generated through parsing of TeX markup through MediaWiki. Licensing wikipedia screenshot Vector version available Maths sex is fun.svg to Commons ...   more details



  1. Chart parser

    Unreferenced date December 2009 A chart parser is a type of parsing parser suitable for ambiguous grammars including grammars of natural language s . It uses the dynamic programming approach partial hypothesized results are stored in a structure called a chart data structure chart and can be re used. This eliminates backtracking and prevents a combinatorial explosion . Chart parsing was developed by Martin Kay . Types of chart parsers A common approach is to use a variant of the Viterbi algorithm . The Earley parser is a type of chart parser mainly used for parsing in computational linguistics , named for its inventor. Another chart parsing algorithm is the Cocke Younger Kasami algorithm Cocke Younger Kasami CYK algorithm. Chart parsers can also be used for parsing computer languages. Earley parsers in particular have been used in compiler compiler s where their ability to parse using arbitrary Context free grammars eases the task of writing the grammar for a particular language. However their lower efficiency has led to people avoiding them for most compiler work. In bidirectional chart parsing , edges of the chart are marked with a direction, either forwards or backwards, and rules are enforced on the direction in which edges must point in order to be combined into further edges. In incremental chart parsing , the chart is constructed incrementally as the text is edited by the user, with each change to the text resulting in the minimal possible corresponding change to the chart. We can distinguish Top down parsing top down and bottom up parser bottom up chart parsers, and active chart parser active and passive chart parser passive chart parsers. Parsing ambiguity in natural languages The most serious problem faced by parsers is the ambiguity of natural languages. See also Brute force search Dynamic programming DEFAULTSORT Chart Parser Category Natural language parsing Category Parsing algorithms de Chart Parser es Chart parser ja ...   more details



  1. OpenNLP

    notability Products date February 2011 unreferenced date February 2011 Apache Software Foundation Apache OpenNLP is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization , Sentence boundary disambiguation sentence segmentation , part of speech tagging , Named entity recognition named entity extraction , Shallow parsing chunking , Syntactic parsing parsing , and coreference coreference resolution . These tasks are usually required to build more advanced text processing services. External links http incubator.apache.org opennlp index.html Apache OpenNLP Website Category Natural language processing toolkits ...   more details



  1. File:Parser Flow.gif

    Summary This is picture I created for my GOLD Parsing System website. The diagram shows the flow of data in the typical parser. I am uploading it to Wikipedia for the Parsers article. Licensing PD self date November 2007 ...   more details



  1. Popt

    Orphan date February 2009 In Linux , the library popt parsing parse s option s in command line command line s. References http directory.fsf.org project popt linux stub Category Linux process and task management related software ...   more details



  1. S-attributed grammar

    Unreferenced stub auto yes date December 2009 S Attributed Grammars are a class of attribute grammar s characterized by having no inherited attribute s, but only synthesized attribute s. Inherited attributes, which must be passed down from parent nodes to children nodes of the abstract syntax tree during the Semantic analysis computer science semantic analysis of the parsing process, are a problem for bottom up parsing because in bottom up parsing, the parent nodes of the abstract syntax tree are created after creation of all of their children. Attribute evaluation in S attributed grammars can be incorporated conveniently in both top down parsing and bottom up parsing . Specifications for parser generators in the Yacc family can be broadly considered S attributed grammars. However, these parser generators usually include the capacity to reference global variables and or fields from within any given grammar rule, meaning that this is not a pure S attributed approach. Any S attributed grammar is also an L attributed grammar . See also Attribute grammar DEFAULTSORT S Attributed Grammar Category Formal languages Category Compiler construction Prog lang stub fr Grammaire S attribu e ...   more details



  1. Text parser

    Refimprove date August 2007 for information about parsing in general Parsing In an Adventure game , a text parser takes typed input a command from the player and simplifies it to something the game can understand. Usually, words with the same meaning are turned into the same word e.g. take and get and certain filler words are dropped e.g. articles, or the at in look at rock . The parser makes it easier for the game s author to react on input. The author does not have to write special code to process the commands get the gem , take the gem , get gem , take gem , take the precious gem , etc separately, as the parser will have stripped the input down to something like take gem . For the player, the game is more flexible, as the game has a larger vocabulary, and there are less guess the verb and guess the noun problems. Parsers are used in early Interactive Fiction games like the Zork series, and more recently in games created by systems like Inform and TADS . External links http www.inform fiction.org manual download dm4.html Inform Designers Manual in particular, see chapter 4, Describing and Parsing , and chapter 5, Natural Language Category Parsing algorithms ...   more details



  1. Pack rat (disambiguation)

    A pack rat is a small rodent in the genus Neotoma . Pack rat can also refer to A person who engages in compulsive hoarding Peter Pack Rat , a 1984 arcade game A packrat parser for parsing expression grammar Packrat Transformers , a fictional character in the Transformers universe disambiguation ...   more details




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