Quantitative Linguistics

• I. Quantitative Linguistics
• 1. The scope of quantitative linguistics | p. 11
• 2. The object of quantitative linguistics | p. 13
• 3. A note about the foundations of quantitative linguistics | p. 15
• II. Methods of Research
• 1. Unit of population | p. 17
• 1.1. Unit of population in lexical statistics
• 1.2. Unit of population in grammatical statistics
• 1.3. Unit of population in semantic statistics
• 1.4. Unit of population in other domains of quantitative linguistics
• 1.5. Conclusions
• 2. Problems of sampling the material | p. 24
• 2.1. Sampling of material from the qualitative viewpoint
• 2.2. Sampling of material from the quantitative viewpoint
• 3. Some statistical and other characteristics common in quantitative linguistics | p. 47
• 3.1. Frequency, rank, order
• 3.2. Mean
• 3.3. Variance and standard deviation
• 3.4. Frequency distribution
• 3.5. Coefficients
• 3.6. Correlation, correlation coefficient
• 3.7. Concepts of information theory, entropy, redundancy
• 3.8. Conclusions
• III. The Main Areas of Quantitative Linguistics
• 1. Lexical statistics | p. 67
• 1.1. The object of lexical statistics
• 1.2. Problems of methods of investigation
• 1.3. Selected publications on lexical statistics
• 1.4. Conclusions
• 2. Grammatical statistics | p. 100
• 2.1. The object of grammatical statistics
• 2.2. Methods of research
• 2.3. The components of grammatical statistics
• 3. Semantic statistics | p. 134
• 3.1. The object of semantic statistics
• 3.2. Methods of research
• 3.3. Selected publications on semantic statistics
• 3.4. Conclusions
• IV. Other Domains of Quantitative Linguistics
• 1. Phonological statistics | p. 145
• 1.1. The object of phonological statistics
• 1.2. Methods of research
• 1.3. Selected publications on phonological statistics
• 2. Graphemic statistics | p. 155
• 2.1. The object of graphemic statistics
• 2.2. Methods of research
• 2.3. Selected publications on graphemic statistics
• 2.4. Conclusions
• 3. Stylistic statistics | p. 160
• 3.1. The object of stylistic statistics
• 3.2. Methods of research
• 3.3. Selected publications on stylistic statistics
• 3.4. Conclusions
• 4. Typological statistics | p. 177
• 4.1. The object of typological statistics
• 4.2. Methods of research
• 4.3. Selected publications in typological statistics
• 4.4. Conclusions
• 5. Statistics concerning the development of language(s) | p. 181
• 5.1. The object of quantification
• 5.2. Research methods
• 5.3. Selected publications on statistics concerning the development of language(s)
• 5.4. Conclusions
• 6. Word-formation statistics | p. 188
• V. The Application of the Results of Quantitative Linguistics
• 1. Linguistic applications | p. 190
• 2. Applications in education | p. 192
• 2.1. Teaching the mother tongue
• 2.2. Foreign language teaching
• 3. Interdisciplinary applications | p. 197
• 4. Technical applications | p. 198
• 5. Conclusions | p. 199
• VI. Quantitative Linguistics and Computers | p. 200
• VII. Perspectives of Quantitative Linguistics | p. 203
• Notes | p. 208
• List of abbreviations of the analyzed texts and other language materials | p. 239
• List of other abbreviations | p. 241
• Name index | p. 243
• Subject index | p. 248

Cited by 11 other publications

Divjak, Dagmar

2019. Frequency in Language,

Jarvis, Scott

2013. Capturing the Diversity in Lexical Diversity. Language Learning 63:s1 ► pp. 87 ff.

Kubát, Miroslav, Ján Mačutek & Radek Čech

2021. Communists spoke differently: An analysis of Czechoslovak and Czech annual presidential speeches. Digital Scholarship in the Humanities 36:1 ► pp. 138 ff.

Nasseri, Maryam & Philip McCarthy

2023. Structural Factor Analysis of Lexical Complexity Constructs and Measures: A Quantitative Measure-Testing Process on Specialised Academic Texts. Journal of Quantitative Linguistics 30:3-4 ► pp. 280 ff.

Ouyang, Jinghui & Jingyang Jiang

2021. What Makes a Good Quantitative Linguistics Textbook?. Journal of Quantitative Linguistics 28:1 ► pp. 39 ff.

Palacios Martínez, Ignacio M.

2020. Methods of data collection in English empirical linguistics research: Results of a recent survey. Language Sciences 78 ► pp. 101263 ff.

Pan, Xiaxing, Xinying Chen & Haitao Liu

2018. Harmony in diversity: The language codes in English–Chinese poetry translation. Digital Scholarship in the Humanities 33:1 ► pp. 128 ff.

Pande, Hemlata & Hoshiyar S. Dhami

2015. Determination of the Distribution of Sentence Length Frequencies for Hindi Language Texts and Utilization of Sentence Length Frequency Profiles for Authorship Attribution. Journal of Quantitative Linguistics 22:4 ► pp. 338 ff.

Sun, Qinglan, Debora Shaw & Charles H. Davis

1999. A model for estimating the occurrence of same-frequency words and the boundary between high- and low-frequency words in texts. Journal of the American Society for Information Science 50:3 ► pp. 280 ff.

Uribe, Diego, Enrique Cuan & Elisa Urquizo

2022. 2022 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), ► pp. 140 ff.

Österholm, Magnus & Ewa Bergqvist

2013. What is so special about mathematical texts? Analyses of common claims in research literature and of properties of textbooks. ZDM 45:5 ► pp. 751 ff.

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