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LEADER 00000cam a2200637Ka 4500 
001    ocn738438156 
003    OCoLC 
005    20160527040333.7 
006    m     o  d         
007    cr cnu---unuuu 
008    110705s2010    enka    ob    001 0 eng d 
019    754711913|a758543138 
020    9781848165618|q(electronic book) 
020    1848165617|q(electronic book) 
020    |z9781848165601 
020    |z1848165609 
035    (OCoLC)738438156|z(OCoLC)754711913|z(OCoLC)758543138 
040    N$T|beng|epn|cN$T|dEBLCP|dE7B|dYDXCP|dCDX|dSTF|dOCLCQ|dUIU
       |dOCLCQ|dOCLCF|dOCLCQ|dDEBSZ|dOCLCQ 
049    RIDW 
050  4 QA76.9.A43|bG66 2010eb 
072  7 COM|x051240|2bisacsh 
082 04 005.45|222 
090    QA76.9.A43|bG66 2010eb 
100 1  Gómez Rodríguez, Carlos.|0https://id.loc.gov/authorities/
       names/n2004141683 
245 10 Parsing schemata for practical text analysis /|cCarlos 
       Gómez-Rodriguez. 
264  1 London :|bImperial College Press,|c[2010] 
264  4 |c©2010 
300    1 online resource (xiv, 275 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
490 1  Mathematics, computing, language, and life,|x2042-1044 ;
       |vv. 1 
504    Includes bibliographical references and index. 
505 0  1. Introduction. 1.1. Motivation. 1.2. Background. 1.3. 
       Outline of the book -- 2. Preliminaries. 2.1. Context-free
       grammars. 2.2. Parsing algorithms and schemata. 2.3. The 
       formalism of parsing schemata. 2.4. Advantages of parsing 
       schemata -- 3. A compiler for parsing schemata. 3.1. 
       Motivation and goals. 3.2. System architecture. 3.3. 
       Generated code. 3.4. Reading schemata. 3.5. The code 
       generation process. 3.6. Indexing. 3.7. Discussion -- 4. 
       Practical complexity of constituency parsers. 4.1. Parsing
       natural language with CFGs. 4.2. Parsing with TAGs. 4.3. 
       Parsing schemata for TAG. 4.4. Parsing schemata for the 
       XTAG English grammar. 4.5. Comparing several parsers for 
       the XTAG grammar. 4.6. Parsing with artificially-generated
       TAGs. 4.7. Overhead of TAG parsing over CFG parsing. 4.8. 
       Discussion -- 5. Error-repair parsing schemata. 5.1. 
       Motivation. 5.2. Error repair in parsing schemata. 5.3. 
       Lyon's error-repair parser. 5.4. Obtaining minimal 
       distance parses. 5.5. Global and regional error repair. 
       5.6. Discussion -- 6. Transforming standard parsers into 
       error-repair parsers. 6.1. From standard parsers to error-
       repair parsers. 6.2. Formal description of the error-
       repair transformation. 6.3. Proof of correctness of the 
       error-repair transformation. 6.4. Optimising the results 
       of the transformation. 6.5. Discussion -- 7. Dependency 
       parsing schemata. 7.1. Motivation. 7.2. The formalism of 
       dependency parsing schemata. 7.3. Parsing schemata for 
       projective dependency parsers. 7.4. Relations between 
       dependency parsers. 7.5. Proving the correctness of 
       dependency parsers. 7.6. Parsing schemata for non-
       projective dependency parsers. 7.7. Parsing schemata for 
       Link Grammar parsers. 7.8. Discussion -- 8. Mildly non-
       projective dependency parsing. 8.1. Motivation. 8.2. 
       Preliminaries. 8.3. The WG[symbol] parser. 8.4. The 
       WG[symbol] parser. 8.5. Parsing ill-nested structures. 
       8.6. Discussion -- 9. Conclusions. 9.1. Future work. 
520    The book presents a wide range of recent research results 
       about parsing schemata, introducing formal frameworks and 
       theoretical results while keeping a constant focus on 
       applicability to practical parsing problems. The first 
       part includes a general introduction to the parsing 
       schemata formalism that contains the basic notions needed 
       to understand the rest of the parts. Thus, this compendium
       can be used as an introduction to natural language parsing,
       allowing postgraduate students not only to get a solid 
       grasp of the fundamental concepts underlying parsing 
       algorithms, but also an understanding of the latest 
       developments and challenges in the field. Researchers in 
       computational linguistics will find novel results where 
       parsing schemata are applied to current problems that are 
       being actively researched in the computational linguistics
       community (like dependency parsing, robust parsing, or the
       treatment of non-projective linguistics phenomena). This 
       book not only explains these results in a more detailed, 
       comprehensive and self-contained way, and highlights the 
       relations between them, but also includes new 
       contributions that have not been presented. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Computer algorithms.|0https://id.loc.gov/authorities/
       subjects/sh91000149 
650  0 Parsing (Computer grammar)|0https://id.loc.gov/authorities
       /subjects/sh85098312 
650  0 Computational linguistics.|0https://id.loc.gov/authorities
       /subjects/sh85077224 
650  7 Computer algorithms.|2fast|0https://id.worldcat.org/fast/
       872010 
650  7 Parsing (Computer grammar)|2fast|0https://id.worldcat.org/
       fast/1053948 
650  7 Computational linguistics.|2fast|0https://id.worldcat.org/
       fast/871998 
655  0 Electronic books. 
655  4 Electronic books. 
776 08 |iPrint version:|aGómez-Rodríguez, Carlos.|tParsing 
       schemata for practical text analysis.|dLondon : Imperial 
       College Press, ©2010|z9781848165601|w(OCoLC)496951697 
830  0 Mathematics, computing, language, and life ;|0https://
       id.loc.gov/authorities/names/no2010144282|vv. 1. 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=374795|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading this eBook|uhttp://
       guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20160616|cEBSCO|tebscoebooksacademic|lridw 
994    92|bRID