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Original Articles

Time‐Series analysis in linguistics: Application of the ARIMA method to cases of spoken Polish

Pages 203-221 | Published online: 21 Jul 2008

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Read on this site (3)

Alexander Koplenig. (2017) A Data-Driven Method to Identify (Correlated) Changes in Chronological Corpora. Journal of Quantitative Linguistics 24:4, pages 289-318.
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Nicolas Turenne. (2010) Modelling Noun-Phrase Dynamics in Specialized Text Collections. Journal of Quantitative Linguistics 17:3, pages 212-228.
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Christian H. Weiß. (2009) Properties of a class of binary ARMA models. Statistics 43:2, pages 131-138.
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Articles from other publishers (5)

Yanhui Zhang. (2022) Modelling the lexical complexity of homogenous texts: a time series approach. Quality & Quantity 57:3, pages 2033-2052.
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Hiroshi Ogura, Yasutaka Hanada, Hiromi Amano & Masato Kondo. (2022) Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes. Entropy 24:7, pages 858.
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Hiroshi Ogura, Yasutaka Hanada, Hiromi Amano & Masato Kondo. (2022) A stochastic model of word occurrences in hierarchically structured written texts. SN Applied Sciences 4:3.
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. 2013. Knowledge Needs and Information Extraction. Knowledge Needs and Information Extraction 225 266 .
Federico Polito, Alberto Petri, Giorgio Pontuale & Fergal Dalton. (2009) Analysis of metal cutting acoustic emissions by time series models. The International Journal of Advanced Manufacturing Technology 48:9-12, pages 897-903.
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