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008 240625t20152015gw fo d z eng d
010 _a2015009816
019 _a(OCoLC)908670253
020 _a9783110362732
_qprint
020 _a9783110394771
_qEPUB
020 _a9783110362879
_qPDF
024 7 _a10.1515/9783110362879
_2doi
035 _a(DE-B1597)9783110362879
035 _a(DE-B1597)426729
035 _a(OCoLC)979753963
040 _aDE-B1597
_beng
_cDE-B1597
_erda
050 0 0 _aP98.5
_b.S47 2015
072 7 _aLAN009000
_2bisacsh
082 0 4 _a006.3/5
_223
084 _aonline - DeGruyter
245 0 0 _aSequences in Language and Text /
_ced. by George K. Mikros, Ján Macutek.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter Mouton,
_c[2015]
264 4 _c©2015
300 _a1 online resource (260 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aQuantitative Linguistics [QL] ,
_x0179-3616 ;
_v69
505 0 0 _tFrontmatter --
_tForeword --
_tContents --
_tIntroduction --
_tLinguistic Analysis Based on Fuzzy Similarity Models --
_tTextual navigation and autocorrelation --
_tMenzerath-Altmann law versus random model --
_tText length and the lambda frequency structure of a text --
_tLinguistic Motifs --
_tLinguistic Modelling of Sequential Phenomena --
_tMenzerath-Altmann Law for Word Length Motifs --
_tIs the Distribution of L-Motifs Inherited from the Word Length Distribution? --
_tSequential Structures in “Dalimil’s Chronicle” --
_tComparative Evaluation of String Similarity Measures for Automatic Language Classification --
_tPredicting Sales Trends --
_tWhere Alice Meets Little Prince --
_tA Probabilistic Model for the Arc Length in Quantitative Linguistics --
_tSubject Index --
_tAuthors Index --
_tAuthors’ addresses
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThe edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 25. Jun 2024)
650 0 _aComputational linguistics
_xResearch.
650 7 _aLANGUAGE ARTS & DISCIPLINES / Linguistics / General.
_2bisacsh
653 _aQuantitative Linguistics, Sequence Analysis, Mathematical Linguistics.
700 1 _aAltmann, Gabriel
_eautore
700 1 _aAndreev, Sergey N.
_eautore
700 1 _aBavaud, François
_eautore
700 1 _aBenešová, Martina
_eautore
700 1 _aBorin, Lars
_eautore
700 1 _aBorisov, Vadim V.
_eautore
700 1 _aCocco, Christelle
_eautore
700 1 _aEder, Maciej
_eautore
700 1 _aKrithara, Anastasia
_eautore
700 1 _aKöhler, Reinhard
_eautore
700 1 _aMacutek, Ján
_ecuratore
700 1 _aMačutek, Ján
_eautore
700 1 _aMikros, George K.
_eautore
_ecuratore
700 1 _aMilička, Jiří
_eautore
700 1 _aPawłowski, Adam
_eautore
700 1 _aRama, Taraka
_eautore
700 1 _aRentoumi, Vassiliki
_eautore
700 1 _aTuzzi, Arjuna
_eautore
700 1 _aTzanos, Nikos
_eautore
700 1 _aXanthos, Aris
_eautore
700 1 _aZörnig, Peter
_eautore
700 1 _aČech, Radek
_eautore
850 _aIT-RoAPU
856 4 0 _uhttps://doi.org/10.1515/9783110362879
856 4 0 _uhttps://www.degruyter.com/isbn/9783110362879
856 4 2 _3Cover
_uhttps://www.degruyter.com/document/cover/isbn/9783110362879/original
942 _cEB
999 _c237392
_d237392