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Record Nr. |
UNINA9910788824603321 |
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Titolo |
Sequences in language and text / / edited by George K. Mikros, Ján Macutek |
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Pubbl/distr/stampa |
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Berlin ; ; Boston : , : De Gruyter Mouton, , [2015] |
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©2015 |
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ISBN |
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3-11-039477-4 |
3-11-036287-2 |
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Descrizione fisica |
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1 online resource (268 p.) |
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Collana |
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Quantitative linguistics ; ; Ql69 |
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Disciplina |
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Soggetti |
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Computational linguistics - Research |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front matter -- 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 |
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Sommario/riassunto |
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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 |
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