TY  - BOOK
AU  - Altmann,Gabriel
AU  - Andreev,Sergey N.
AU  - Bavaud,François
AU  - Benešová,Martina
AU  - Borin,Lars
AU  - Borisov,Vadim V.
AU  - Cocco,Christelle
AU  - Eder,Maciej
AU  - Krithara,Anastasia
AU  - Köhler,Reinhard
AU  - Macutek,Ján
AU  - Mačutek,Ján
AU  - Mikros,George K.
AU  - Milička,Jiří
AU  - Pawłowski,Adam
AU  - Rama,Taraka
AU  - Rentoumi,Vassiliki
AU  - Tuzzi,Arjuna
AU  - Tzanos,Nikos
AU  - Xanthos,Aris
AU  - Zörnig,Peter
AU  - Čech,Radek
TI  - Sequences in Language and Text
T2  - Quantitative Linguistics [QL] ,
SN  - 9783110362732
AV  - P98.5 .S47 2015
U1  - 006.3/5 23
PY  - 2015///]
CY  - Berlin, Boston
PB  - De Gruyter Mouton
KW  - Computational linguistics
KW  - Research
KW  - LANGUAGE ARTS & DISCIPLINES / Linguistics / General
KW  - bisacsh
KW  - Quantitative Linguistics, Sequence Analysis, Mathematical Linguistics
N1  - Frontmatter --; Foreword --; Contents --; Introduction --; Linguistic Analysis Based on Fuzzy Similarity Models --; Textual navigation and autocorrelation --; Menzerath-Altmann law versus random model --; Text length and the lambda frequency structure of a text --; Linguistic Motifs --; Linguistic Modelling of Sequential Phenomena --; Menzerath-Altmann Law for Word Length Motifs --; Is the Distribution of L-Motifs Inherited from the Word Length Distribution? --; Sequential Structures in “Dalimil’s Chronicle” --; Comparative Evaluation of String Similarity Measures for Automatic Language Classification --; Predicting Sales Trends --; Where Alice Meets Little Prince --; A Probabilistic Model for the Arc Length in Quantitative Linguistics --; Subject Index --; Authors Index --; Authors’ addresses; restricted access; Issued also in print
N2  - The 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
UR  - https://doi.org/10.1515/9783110362879
UR  - https://www.degruyter.com/isbn/9783110362879
UR  - https://www.degruyter.com/document/cover/isbn/9783110362879/original
ER  -