Peter Zörnig
Biographic Data
| ID | 6501045 |
|---|---|
| NAME | Peter Zörnig |
| GIVEN NAMES | Peter |
| FAMILY NAME | Zörnig |
| SIGNATURE | ZÖRNIG P |
| AFFILIATIONS | Universidade de Brasília |
| ORCID | 0000-0002-1094-3972 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Unit-log-symmetric models
The effects of type and token frequency on word length
Inspired by Zipf’s Law of Abbreviation, previous research was mostly directed at the interaction of word length and token frequency. Much less is known about the relationship of word length and type frequency, let alone about the differential impact of type and token frequency on word length. These issues are examined on the basis of a non-representative sample of 10 languages. The token frequency analysis reveals that 8 of the 10 languages show …
Classification of Serbian texts based on lexical characteristics and multivariate statistical analysis
We study lexical properties of different Serbian text types (poems, rock songs, different kinds of spoken language, prose, scientific and journalistic texts). We investigate characteristics and text parameters based on the frequency of word forms (relative frequencies, repeat rate, h-point and related indices). Relations between parameters are studied in order to identify the principal characteristics. We also apply techniques of multivariate ana…
On Consensus Strings in Text Analysis
The present paper is a pilot study introducing a concept of computational biology – the closest string problem (CSP) – into linguistics. In quantitative studies, texts can be represented as sequences, and for any given set of sequences one can solve a CSP. The solution is called a consensus string (CS), which is a sequence that is „as close as possible to all the given strings“. In this article we solve some CSP’s resulting from the study of a Hu…
A Sequential Activity Measure for Texts and Speeches
We introduce a new indicator for activity in written or spoken language, defined by the number of verbs appearing before the adjectives. The concept is applied to Italian presidential speeches
Unified Modeling of Length in Language
The search for mathematical models is the first task of quantitative linguistics. The next step is the testing of a model on as many languages and phenomena as possible. A full confirmation of the
Unified Modeling of Length in Language
The search for mathematical models is the first task of quantitative linguistics. The next step is the testing of a model on as many languages and phenomena as possible. A full confirmation of the
Classification of Serbian texts based on lexical characteristics and multivariate statistical analysis
We study lexical properties of different Serbian text types (poems, rock songs, different kinds of spoken language, prose, scientific and journalistic texts). We investigate characteristics and text parameters based on the frequency of word forms (relative frequencies, repeat rate, h-point and related indices). Relations between parameters are studied in order to identify the principal characteristics. We also apply techniques of multivariate ana…
On Consensus Strings in Text Analysis
The present paper is a pilot study introducing a concept of computational biology – the closest string problem (CSP) – into linguistics. In quantitative studies, texts can be represented as sequences, and for any given set of sequences one can solve a CSP. The solution is called a consensus string (CS), which is a sequence that is „as close as possible to all the given strings“. In this article we solve some CSP’s resulting from the study of a Hu…
A Sequential Activity Measure for Texts and Speeches
We introduce a new indicator for activity in written or spoken language, defined by the number of verbs appearing before the adjectives. The concept is applied to Italian presidential speeches
Unified Modeling of Length in Language
The search for mathematical models is the first task of quantitative linguistics. The next step is the testing of a model on as many languages and phenomena as possible. A full confirmation of the
The effects of type and token frequency on word length
Inspired by Zipf’s Law of Abbreviation, previous research was mostly directed at the interaction of word length and token frequency. Much less is known about the relationship of word length and type frequency, let alone about the differential impact of type and token frequency on word length. These issues are examined on the basis of a non-representative sample of 10 languages. The token frequency analysis reveals that 8 of the 10 languages show …
Unit-log-symmetric models
Computer Science (6 works) · Artificial Intelligence (4 works) · Linguistics (4 works) · Mathematics (4 works) · Natural language processing (4 works) · Philosophy (4 works) · Authorship Attribution and Profiling (3 works) · Statistics (2 works) · Text Readability and Simplification (2 works) · Advanced Text Analysis Techniques (1 work)