{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":42,"n_cols":5,"rows_kept":42,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[12,2,12,3],[13,2,13,3],[20,2,20,3],[20,4,20,5],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[34,2,34,3],[35,2,35,3],[38,2,38,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910701250903321"]
[null,null,"Autore",null,"Motil Brian J"]
[null,null,"Titolo",null,"Hydrodynamics of packed bed reactor in low gravity [[electronic resource] /] / Brian J. Motil and Henry K. Nahra, Vemuri Balakotaiah"]
[null,null,"Pubbl/distr/stampa",null,"Cleveland, Ohio : , : National Aeronautics and Space Administration, Glenn Research Center, , [2005]"]
[null,null,"Descrizione fisica",null,"1 online resource (6 pages) : illustrations (some color)"]
[null,null,"Collana",null,"NASA/TM ; ; 2005-213806"]
[null,null,"Soggetti",null,"Chemical reactors"]
[{"$nulls":4},"Hydrodynamics"]
[{"$nulls":4},"Life support systems"]
[{"$nulls":4},"Microgravity"]
[{"$nulls":4},"Physiochemistry"]
[{"$nulls":4},"Interfacial tension"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from title screen (viewed on Jan. 13, 2012)."]
[{"$nulls":4},"\"August 2005.\""]
[{"$nulls":4},"\"Prepared for the 35th International Conference on Environmental Systems (ICES) cosponsored by the SAE, AIAA, AIChE, ASME, and the International ICES Committee, Rome, Italy, July 11-14, 2005.\""]
[{"$nulls":4},"\"2005-01-3035.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (page 6)."]
[null,"2.","Record Nr.",null,"UNINA9910484715103321"]
[null,null,"Autore",null,"Tanaka-Ishii Kumiko"]
[null,null,"Titolo",null,"Statistical universals of language : mathematical chance vs. human choice / / Kumiko Tanaka-Ishii"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-59377-0"]
[null,null,"Descrizione fisica",null,"1 online resource (226 pages) : illustrations"]
[null,null,"Collana",null,"Mathematics in Mind"]
[null,null,"Disciplina",null,"410.151"]
[null,null,"Soggetti",null,"Mathematical linguistics"]
[{"$nulls":4},"Computational linguistics"]
[{"$nulls":4},"Lingüística matemàtica"]
[{"$nulls":4},"Lingüística computacional"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Contents -- Part I Language as a Complex System -- 1 Introduction -- 1.1 Aims -- 1.2 Structure of This Book -- 1.3 Position of This Book -- 1.3.1 Statistical Universals as Computational Properties of Natural Language -- 1.3.2 A Holistic Approach to Language via Complex Systems Theory -- 1.4 Prospectus -- 2 Universals -- 2.1 Language Universals -- 2.2 Layers of Universals -- 2.3 Universal, Stylized Hypothesis, and Law -- 3 Language as a Complex System -- 3.1 Sequence and Corpus -- 3.1.1 Definition of Corpus -- 3.1.2 On Meaning -- 3.1.3 On Infinity -- 3.1.4 On Randomness -- 3.2 Power Functions -- 3.3 Scale-Free Property: Statistical Self-Similarity -- 3.4 Complex Systems -- 3.5 Two Basic Random Processes -- Part II Property of Population -- 4 Relation Between Rank and Frequency -- 4.1 Zipf's Law -- 4.2 Scale-Free Property and Hapax Legomena -- 4.3 Monkey Text -- 4.4 Power Law of n-grams -- 4.5 Relative Rank-Frequency Distribution -- 5 Bias in Rank-Frequency Relation -- 5.1 Literary Texts -- 5.2 Speech, Music, Programs, and More -- 5.3 Deviations from Power Law -- 5.3.1 Scale -- 5.3.2 Speaker Maturity -- 5.3.3 Characters vs. Words -- 5.4 Nature of Deviations -- 6 Related Statistical Universals -- 6.1 Density Function -- 6.2 Vocabulary Growth -- Part III Property of Sequences -- 7 Returns -- 7.1 Word Returns -- 7.2 Distribution of Return Interval Lengths -- 7.3 Exceedance "]
[{"$nulls":4},"Probability -- 7.4 Bias Underlying Return Intervals -- 7.5 Rare Words as a Set -- 7.6 Behavior of Rare Words -- 8 Long-Range Correlation -- 8.1 Long-Range Correlation Analysis -- 8.2 Mutual Information -- 8.3 Autocorrelation Function -- 8.4 Correlation of Word Intervals -- 8.5 Nonstationarity of Language -- 8.6 Weak Long-Range Correlation -- 9 Fluctuation -- 9.1 Fluctuation Analysis -- 9.2 Taylor Analysis -- 9.3 Differences Between the Two Fluctuation Analyses."]
[{"$nulls":4},"9.4 Dimensions of Linguistic Fluctuation -- 9.5 Relations Among Methods -- 10 Complexity -- 10.1 Complexity of Sequence -- 10.2 Entropy Rate -- 10.3 Hilberg's Ansatz -- 10.4 Computing Entropy Rate of Human Language -- 10.5 Reconsidering the Question of Entropy Rate -- Part IV Relation to Linguistic Elements and Structure -- 11 Articulation of Elements -- 11.1 Harris's Hypothesis -- 11.2 Information-Theoretic Reformulation -- 11.3 Accuracy of Articulation by Harris's Scheme -- 12 Word Meaning and Value -- 12.1 Meaning as Use and Distributional Semantics -- 12.2 Weber-Fechner Law -- 12.3 Word Frequency and Familiarity -- 12.4 Vector Representation of Words -- 12.5 Compositionality of Meaning -- 12.6 Statistical Universals and Meaning -- 13 Size and Frequency -- 13.1 Zipf Abbreviation of Words -- 13.2 Compound Length and Frequency -- 14 Grammatical Structure and Long Memory -- 14.1 Simple Grammatical Framework -- 14.2 Phrase Structure Grammar -- 14.3 Long-Range Dependence in Sentences -- 14.4 Grammatical Structure and Long-Range Correlation -- 14.5 Nature of Long Memory Underlying Language -- Part V Mathematical Models -- 15 Theories Behind Zipf's Law -- 15.1 Communication Optimization -- 15.2 A Limit Theorem -- 15.3 Significance of Statistical Universals -- 16 Mathematical Generative Models -- 16.1 Criteria for Statistical Universals -- 16.2 Independent and Identically Distributed Sequences -- 16.3 Simon Model and Variants -- 16.4 Random Walk Models -- 17 Language Models -- 17.1 Language Models and Statistical Universals -- 17.2 Building Language Models -- 17.3 N-Gram Models -- 17.4 Grammatical Models -- 17.5 Neural Models -- 17.6 Future Directions for Generative Models -- Part VI Ending Remarks -- 18 Conclusion -- 19 Acknowledgments -- Part VII Appendix -- 20 Glossary and Notations -- 20.1 Glossary -- 20.2 Mathematical Notation."]
[{"$nulls":4},"20.3 Other Conventions -- 21 Mathematical Details -- 21.1 Fitting Functions -- 21.2 Proof that Monkey Typing Follows a Power Law -- 21.3 Relation Between η and ζ -- 21.4 Relation Between η and ξ -- 21.5 Proof That Interval Lengths of I.I.D. Process Follow Exponential Distribution -- 21.6 Proof of α=0.5 and ν=1.0 for I.I.D. Process -- 21.7 Summary of Shannon's Method to Estimate Entropy Rate -- 21.8 Relation of h, Perplexity, and Cross Entropy -- 21.9 Type Counts, Shannon Entropy, and Yule's K, via Generalized Entropy -- 21.10 Upper Bound of Compositional Distance -- 21.11 Rough Summary of Mandelbrot's Communication Optimization Rationale to Deduce a Power Law -- 21.12 Rough Definition of Central Limit Theorem -- 21.13 Definition of Simon Model -- 22 Data -- 22.1 Literary Texts -- 22.2 Large Corpora -- 22.3 Other Kinds of Data Related to Language -- 22.4 Corpora for Scripts -- References -- Index."]