Language and Text

Name: Language and Text | Data, models, information and applications
Brand: John Benjamins Publishing Company
Price: 109.99 EUR
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Data, models, information and applications

Pawlowski Adam Pawlowski(Editor)

John Benjamins Publishing Company

1st Edition

Published on 22. December 2021

286 pages

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978-90-272-5838-0 (ISBN)

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Content

Intro
LANGUAGE AND TEXT
Editorial page
Title page
Copyright page
Table of contents
Introduction
Part I. Theory and models
On the impact of the initial phrase length on the position of enclitics in Old Czech
1. Introduction
2. Classification of the word ordering of enclitics in Old Czech
3. Language material
4. Methodology
5. Results
6. Conclusion
Funding
References
Term distance, frequency and collocations
1. Introduction
2. ?-score and Pointwise Mutual Information
3. Data and technical method
4. Collocations
4.1 Frequency and context enlargement
4.2 Distance
5. Discussion
References
A method for the comparison of general sequences via type-token ratio
1. Introduction: Sequence analysis and its importance
2. Method: Quantitative linguistics and the most basic methodology
Step 1: Normalization of the alphabet
Step 2: Length normalization
Step 3: Contextual data collection from n-grams
Step 4: Quantification of properties
Step 5: Interpretation, visualizations, and beyond
3. Visualization methods
3.1 Basic line-chart
3.2 Classical Multidimensional Scaling (MDS)
3.3 t-Distributed Stochastic Neighbor Embedding
4. Models of sequence behavior in our method
4.1 Model of truly random sequences
4.2 Model of minimal TTR
4.3 Model of maximal TTR
5. Method artefacts and specific n intervals
5.1 Interval of exhausting vocabulary Q
5.2 Interval of vocabulary saturation C
5.3 Interval of maximum variance H
6. Comparison to other, similar purpose methods
7. Conclusions
Funding
References
Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian
1. Introduction
2. Methodology and language material
3. Results
3.1 Syllable frequency
3.2 Syllable length
3.3 Relation between syllable frequency and syllable length
3.4 Menzerath-Altmann law
4. Conclusions
Funding
References
N-grams of grammatical functions and their significant order in the Japanese clause
1. Aim of the study
2. Descriptions of data and grammatical definitions
3. Hypotheses and methodology
4. Results for grammatical function types in the first position and in the second or later position
5. Results for grammatical function types in the position directly preceding the predicate and preceding it by two or more units
6. Results for bi-grams of grammatical function types including the subject or the object
7. Conclusions
Abbreviations
Funding
Software and digital dictionaries
References
Linking the dependents: Quantitative-linguistic hypotheses on valency
1. Introduction
2. The functional equivalents of coding semantic case
3. Quantitative definitions of valency
4. Derivation of linguistic hypotheses of valency
5. FrameNet data
6. Statistical hypotheses and testing
7. Interpretations and conclusions
References
Grammar efficiency and the One-Meaning-One-Form Principle
1. Introduction
2. Measures of the degree of violation of the Principle
3. Hengeveld's part-of-speech systems
4. The previous grammar-efficiency formula
5. The new grammar-efficiency formula
6. The efficiency of basic parts-of-speech system types
7. Conclusion
References
Distribution and characteristics of commonly used words across different texts in Japanese
1. The law of distribution of words
2. Previous studies
3. Data and method
4. Results
5. Interpretation
6. Conclusion and further challenges
Funding
References
Part II. Empirical studies
The perils of big data
1. Motivation
2. Some background
3. The muddle in the middle
4. Faith and reason
5. Data, and more data
6. In short
Acknowledgements
References
From distinguishability to informativity: A quantitative text model for detecting random texts
1. Introduction
2. Text corpora and their quantification
2.1 Quantification
2.2 Text corpora and their randomization
2.3 Classification and evaluation methods
3. Results
4. Discussion
5. Conclusion
References
A Modern Greek readability tool: Development of evaluation methods
1. Introduction
2. Readability analysis: A short literature review
3. Methodology
3.1 Corpus
3.2 Features
3.3 Machine learning algorithm: Random Forest
4. Results
5. Conclusion
Funding
References
Phonological properties as predictors of text success
1. Introduction
1.1 Beauty-in-averageness effect
1.2 Effect of euphony
1.3 Spoken data vs. written corpora
2. Data
3. Method
3.1 Observed units
3.2 Success rate
3.3 Resampling
4. Results
5. Discussion
Acknowledgement
References
Calculating the victory chances: A stylometric insight into the 2018 Czech presidential election
1. Introduction
2. Material and methods
3. Results and interpretations
3.1 The new-year addresses: A stylometric perspective
3.2 Marek Hilser vs. Michal Horácek: The keyword analysis
4. Conclusions
References
Topological mapping for visualisation of high-dimensional historical linguistic data
1. Introduction
2. Nonlinearity
2.1 Nonlinearity in natural processes
2.2 Nonlinearity in data
2.3 Nonlinearity in linguistic data
3. The problem
4. Topological mapping
4.1 Topology
4.2 Projection of topological structure into low-dimensional space
4.3 Preservation of nonlinearity
4.4 Example
5. Conclusion
References
Book genre and author's gender recognition based on titles: The example of the bibliographic corpus of microtexts
1. The problem
2. Data and research hypotheses
3. Methodology
4. Experiments and results
4.1 Recognizing the literary genre of the text
4.2 Automatic recognition of the author's gender
5. Conclusions
Funding
References
Quantitative analysis of bibliographic corpora: Statistical features, semantic profiles, word spectra
1. Large-scale bibliographies as text corpora
2. Data and hypotheses
3. Research method
4. Results: An overview
5. Results: Statistical distributions
6. Conclusions
Funding
Sources
References
Analysis of English text genre classification based on dependency types
1. Introduction
2. Treebank establishment
3. Methods
3.1 Principal component analysis
3.2 Hierarchical cluster analysis
3.3 Random Forest
4. Results and discussion
4.1 PCA
4.2 Text clustering
4.3 Random forest
5. Conclusions
Acknowledgements
References
Appendix A. English universal relations
Appendix B. The proportion of dependency type across genres
Index

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