Difference between Corpus and Corpus Linguistics | Features of Corpora and Corpus Linguistics

Описание к видео Difference between Corpus and Corpus Linguistics | Features of Corpora and Corpus Linguistics

#language #corpus #linguistics
Outline
Definition
Scope
Objectives
Data Analysis
Linguistic Inquiry
Methodologies
Applications
Interdisciplinary Nature


Definition:
Corpus: A collection of written or spoken texts used for linguistic analysis.
C : Compatible to both man and computer,
O : Operational in research and application,
R : Representative of a language or a variety,
P : Processable by both man and machine,
U : Unlimited in the amount of data and samples, and
S : Systematic both in formation and representation.

Corpus Linguistics: The study of language using corpora as the primary source of data. Corpus linguistics, a branch of linguistics that involves the systematic study of language using corpora.



2. Scope:
Corpus: Refers to the actual collection of texts, which can be specific to a particular topic or language.

Corpus Linguistics: Focuses on the analysis and interpretation of linguistic data extracted from corpora. It is a field of research that focuses on the quantitative analysis of large and structured collections of texts or spoken language data. Corpus linguistics involves investigating language properties such as word frequency, collocations, and patterns of language use.

Corpus provides the data for language research, corpus linguistics involves the analysis, interpretation, and explanation of the data to gain insights into the structure and nature of language.

3.Objectives:

Corpus: Often created for various purposes, including language teaching, translation, or research.

4. Data Analysis:

Corpus: May involve manual reading, annotation, and categorization of texts.

Corpus Linguistics: Relies on computational tools and statistical techniques to analyze large corpora efficiently.

Corpus Linguistics: Aims to uncover patterns, regularities, and insights about language usage, variation, and change.

5. Linguistic Inquiry:
Corpus: Provides a data source for linguistic analysis, but the specific research questions can vary.

Corpus Linguistics: Investigates linguistic phenomena, such as word frequency, collocations, syntactic patterns, etc., in large-scale, representative data.
5. Linguistic Inquiry:
corpus is often used in applied linguistics, while corpus linguistics is applied to theoretical linguistics.
Corpus: Applied linguistics


Corpus Linguistics: Investigates linguistic phenomena, such as word frequency, collocations, syntactic patterns, etc., in large-scale, representative data.
6. Methodologies

Corpus: Corpus methodology is based on the collection and analysis of language data. It involves various processes such as corpus design, corpus compilation, corpus annotation, and corpus analysis.

Corpus Linguistics: corpus linguistics methodology involves the use of linguistic theories and models to explain language phenomena. It involves the use of computational tools and software to analyze large corpora. Corpus linguistics methodology also involves the use of quantitative and qualitative methods to explore various aspects of language use
7. Applications

Corpus: Used in various fields, such as lexicography, translation studies, language teaching, etc.


Corpus Linguistics: Provides insights into language variation, discourse analysis, language acquisition, language change, and other linguistic research areas. It also has applications in discourse analysis, language policy, and multilingualism.

8. Interdisciplinary Nature:
Corpus: Can be used by researchers from different disciplines, including linguistics, literature, sociology, etc.

Corpus Linguistics: Integrates methods and theories from linguistics, computer science, statistics, and other related fields

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