"Dialectometry is the quantitative and computational branch of dialectology, the study of dialect."
Employs quantitative methods to compare and measure various aspects of dialects such as phonetics, morphosyntax, and vocabulary.
Linguistic geography: This is the study of the distribution of linguistic features across a geographical region or population.
Language variation: This is the study of how language varies across individuals and groups of speakers.
Language change: This is the study of how languages change over time due to social, cultural, and linguistic factors.
Dialectology: This is the study of dialects or regional variations of a language.
Sociolinguistics: This is the study of how language is used in social contexts and how social factors impact language use and variation.
Corpus Linguistics: This is the study of large collections of language data, and how this data can be analyzed and used to inform linguistic research.
Phonetics and Phonology: These are the subfields of linguistics that deal with the sounds of language and how they are used to create meaning.
Morphology and Syntax: These subfields of linguistics deal with the structure of language at the level of words and sentences.
Data collection and analysis: This topic covers various methods of collecting and analyzing linguistic data, such as surveys and interviews, and computer-assisted methods.
Machine learning and natural language processing: These are techniques for working with large quantities of linguistic data and using computers to help analyze and understand language patterns.
Geographical Dialectometry: This type of dialectometry is concerned with analyzing the geographical distribution of linguistic variation. It examines the differences and similarities between dialects across regions.
Sociolinguistic Dialectometry: This type of dialectometry focuses on the social factors that contribute to linguistic variation and the distribution of dialects. It examines patterns of variation related to social factors like age, gender, ethnicity, social class, etc.
Phonological Dialectometry: This type of dialectometry analyzes the differences in the pronunciation of sounds across dialects. It examines the differences and similarities between dialects in terms of phonemes, phonology, and phonetics.
Morphological Dialectometry: This type of dialectometry analyzes differences and similarities between dialects in terms of word formation, inflection, and syntax.
Syntactic Dialectometry: This type of dialectometry analyzes the differences and similarities between dialects in terms of the structure and organization of sentences.
Historical Dialectometry: This type of dialectometry analyzes the changes that occur in dialects over time. It examines the historical relations between dialects and their linguistic development.
Machine Learning Dialectometry: This type of dialectometry employs machine learning techniques like clustering, classification, and regression to perform analyses on dialect data. It can automatically identify patterns in data and predict dialectal features.
Computational Dialectometry: This type of dialectometry involves using computer programs to analyze linguistic data, including text corpora, audio recordings, and geographic information. It represents the intersection of dialectology and computer science.
Corpus-based Dialectometry: This type of dialectometry uses large collections of linguistic data to study dialects. It is concerned with building and analyzing spoken and written corpora that reflect the full range of dialectal variation in a language.
"It arose in the 1970s and 80s as a result of seminal work by J. Séguy and Hans Goebl."
"The research concentrates mainly on the regional distribution of dialect similarities, such as cores of dialect and overlapping zones."
"They can be labelled according to a more or less slight variance of dialect between bordering locations."
"Analysis of dialect relationships cannot always be clearly depicted by cladistics, since there are often dialect continuum cases and also examples with elements of convergence, as well as division."
"Language atlases serve as an empirical database which document the dialect profile of a large number of locations in detail."
"Different well-known numerical classification methodologies are used to abstract and visualize a basic pattern from the immense amount of data found in the language atlases."
"Not one solid classification can be expected to result from the calculations."
"Different aspects of the basic pattern being searched for can be discovered by using the different methodologies."
"Principally speaking, there is more interest in the diversity of the taxonomic methodologies, the results, and the linguistic interpretations which can be made from them."
"Dialectometry is the quantitative and computational branch of dialectology, the study of dialect."
"It arose in the 1970s and 80s as a result of seminal work by J. Séguy and Hans Goebl."
"The research concentrates mainly on the regional distribution of dialect similarities, such as cores of dialect and overlapping zones."
"They can be labelled according to a more or less slight variance of dialect between bordering locations."
"Analysis of dialect relationships cannot always be clearly depicted by cladistics, since there are often dialect continuum cases and also examples with elements of convergence, as well as division."
"Language atlases serve as an empirical database which document the dialect profile of a large number of locations in detail."
"Different well-known numerical classification methodologies are used to abstract and visualize a basic pattern from the immense amount of data found in the language atlases."
"Not one solid classification can be expected to result from the calculations."
"Different aspects of the basic pattern being searched for can be discovered by using the different methodologies."
"Principally speaking, there is more interest in the diversity of the taxonomic methodologies, the results, and the linguistic interpretations which can be made from them."