LEADER 01498aam 2200409I 450 001 9910710760003321 005 20160421112350.0 024 8 $aGOVPUB-C13-94d6743c2586923aa5195674e033772d 035 $a(CKB)5470000002478706 035 $a(OCoLC)947049439 035 $a(EXLCZ)995470000002478706 100 $a20160421d2009 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSlapsSegII - slap fingerprint segmentation evaluation II $etesting procedure and results /$fCraig Watson; Patricia Flanagan; Brian Cochran 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2009. 215 $a1 online resource 225 1 $aNISTIR ;$v7553 300 $a2009. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 517 $aSlapsSegII - slap fingerprint segmentation evaluation II 700 $aWatson$b Craig$01394697 701 $aCochran$b Brian$01398295 701 $aFlanagan$b Patricia$01398296 701 $aWatson$b Craig$01394697 712 02$aNational Institute of Standards and Technology (U.S.) 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910710760003321 996 $aSlapsSegII - slap fingerprint segmentation evaluation II$93461326 997 $aUNINA LEADER 07618nam 2200721Ia 450 001 9910969362603321 005 20200520144314.0 010 $a9786612156236 010 $a9781282156234 010 $a1282156233 010 $a9789027293947 010 $a9027293945 035 $a(CKB)1000000000244054 035 $a(OCoLC)191935328 035 $a(CaPaEBR)ebrary10103924 035 $a(SSID)ssj0000147652 035 $a(PQKBManifestationID)11148005 035 $a(PQKBTitleCode)TC0000147652 035 $a(PQKBWorkID)10015907 035 $a(PQKB)10953371 035 $a(MiAaPQ)EBC622517 035 $a(Au-PeEL)EBL622517 035 $a(CaPaEBR)ebr10103924 035 $a(CaONFJC)MIL215623 035 $a(OCoLC)237390385 035 $a(DE-B1597)720422 035 $a(DE-B1597)9789027293947 035 $a(EXLCZ)991000000000244054 100 $a20051027d2005 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEnglish general nouns $ea corpus theoretical approach /$fMichaela Mahlberg 205 $a1st ed. 210 $aPhiladelphia $cJohn Benjamins$d2005 215 $a1 online resource (217 p.) 225 1 $aStudies in corpus linguistics,$x1388-0373 ;$vv. 20 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9789027222916 311 08$a9027222916 320 $aIncludes bibliographical references and index. 327 $aEnglish General Nouns -- Editorial page -- Title page -- LCC data -- Table of contents -- Acknowledgements -- Introduction -- The attention they have been getting -- Introduction -- 1.1. Halliday & -- Hasan's (1976) approach -- 1.2. The class of general nouns -- 1.3. The cohesive function of general nouns: Continuum and context -- 1.4. Corpus linguistic findings -- Conclusion -- Notes -- The corpus linguistic point of view -- Introduction -- 2.1. Electronic corpora and the study of language -- 2.2. Corpus linguistics: Theory and methodology -- 2.2.1. Corpus-based versus corpus-driven approaches -- 2.2.2. Technical possibilities and descriptive tools -- 2.3. A lexical approach to the description of English -- 2.3.1. The lexical item -- 2.3.2. The Pattern Grammar -- 2.3.3. Lexical priming -- 2.3.4. Lexis, grammar, and text: Differences in the corpus-driven approach -- 2.4. A corpus theoretical approach to general nouns -- 2.4.1. The corpus theoretical framework -- 2.4.2. Minimal assumptions for the study of general nouns -- Conclusion -- Notes -- Minimal assumptions in practice -- Introduction -- 3.1. The corpora of the present study -- 3.2. Frequency -- 3.2.1. What does the computer count? -- 3.2.2. Frequency lists and key words -- 3.2.3. Frequency and general nouns -- 3.2.4. The nouns in the corpus study -- 3.3. Context -- 3.3.1. Analysing concordance data -- 3.3.2. Dynamic categories and ad hoc labels -- Conclusion -- Note -- Time nouns -- Introduction -- 4.1. Time nouns - an overview -- Time orientation -- Measurement -- Investing time -- Time passes -- History, life -- School, university -- Evaluation and text organisation -- Combinations -- Other examples -- 4.2. Time orientation -- 4.3. Investing time -- Concordance 4.2 The 15 examples in the investing time group -- 4.4. Evaluation and text organisation -- 4.5. The fuzziness of meaning. 327 $a4.6. The need for local categories of description -- Conclusion -- Notes -- Appendix -- 100 concordance lines for time -- 100 concordance lines for times -- 100 concordance lines for year -- 100 concordance lines for years -- 100 concordance lines for day -- People nouns -- Introduction -- 5.1. People nouns - an overview -- 5.1.1. Meanings of people nouns -- Concordance 5.1 The first 25 examples of man -- 5.1.2. The descriptive tool `person' -- 5.2. man and woman -- 5.2.1. The introducing function -- 5.2.2. The characterising function -- 5.2.3. The continuity function -- 5.2.4. The meaning of a noun in its narrow context: The support function -- 5.3. men and women -- Concordance 5.2 The 21 examples of men of category C that occur without determiners and modifiers -- Concordance 5.3 The 32 examples of women of category C that occur without determiners and modifiers -- 5.4. people -- Concordance 5.4 The 29 examples of people without determiners and modifiers -- 5.5. family -- 5.6. People nouns - the group -- Concordance 5.6 Some examples of government -- Conclusion -- Appendix -- 100 concordance lines for man -- 100 concordance lines for men -- 100 concordance lines for women -- 100 concordance lines for people -- World nouns -- Introduction -- 6.1. The diversity of meanings of world nouns -- Concordance 6.1 50 examples of part -- Concordance 6.2 Some examples of way -- 6.2. Evaluation in discourse -- 6.2.1. Language use and language functions -- 6.2.2. Approaching evaluation -- 6.2.3. Corpus linguistics and evaluation -- 6.3. Evaluative meanings of world nouns -- 6.3.1. Adjective patterns with general nouns -- 6.3.2. Evaluative patterns of world nouns -- Conclusion -- Notes -- Re-examining the minimal assumptions -- Introduction -- 7.1. Frequency -- 7.1.1. Meaning and paraphrase -- 7.1.2. Frequent nouns as characteristics of texts. 327 $a7.2. General nouns and the word class noun -- 7.3. Context -- 7.3.1. Subgroups of nouns -- 7.3.2. Local textual functions of general nouns -- 7.4. What are general nouns? -- 7.4.1. Quantitative and qualitative features of general nouns -- 7.4.2. General nouns and cohesion -- 7.4.3. A corpus linguistic view on general nouns -- Conclusion -- Note -- Developing the corpus linguistic theory -- Introduction -- 8.1. The methodology of the corpus study -- 8.2. Even more attention is needed -- 8.2.1. Future work -- 8.2.2. Applications -- 8.3. Describing meaning in text: A flexible approach -- 8.3.1. The elusiveness of meaning -- 8.3.2. The corpus linguistic theory - where are we now? -- 8.3.3. Flexible grammar -- Appendix 1 -- Appendix 2 -- References -- Index -- The series Studies in Corpus Linguistics. 330 $aThis book proposes an innovative approach to general nouns. General nouns are defined as high-frequency nouns that are characterised by their textual functions. Although the concept is motivated by Halliday & Hasan (1976), the corpus theoretical approach adopted in the present study is fundamentally different and set in a linguistic framework that prioritises lexis. The study investigates 20 nouns that are very frequent in mainstream English, as represented by the Bank of English Corpus. The corpus-driven approach to the data involves a critical discussion of descriptive tools, such as patterns, semantic prosodies, and primings of lexical items, and the concept of 'local textual functions' is put forward to characterise the functions of the nouns in texts. The study not only suggests a characterisation of general nouns, but also stresses that functions of lexical items and properties of texts are closely linked. This link requires new ways of describing language. 410 0$aStudies in corpus linguistics ;$vv. 20. 606 $aEnglish language$xNoun 606 $aEnglish language$xDiscourse analysis 606 $aComputational linguistics 615 0$aEnglish language$xNoun. 615 0$aEnglish language$xDiscourse analysis. 615 0$aComputational linguistics. 676 $a425/.54 700 $aMahlberg$b Michaela$0624451 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969362603321 996 $aEnglish General Nouns$91098506 997 $aUNINA