POS Tagger

Give a brief definition of the following terms:

A. POS Tagger

Ans – A POS tagger is a natural language processing tool or software that assigns parts of speech (POS) tags to each word in a text based on its grammatical category or role in the sentence. POS tags include categories like nouns, verbs, adjectives, adverbs, pronouns, prepositions, conjunctions, and more. This tagging process is crucial for various linguistic and computational tasks, such as text analysis, machine translation, and information retrieval.

B. Lexical database

Ans – A lexical database is a structured collection or repository of lexical information, which includes details about words, their meanings, pronunciations, grammatical properties, and relationships with other words. Lexical databases are commonly used in lexicography, natural language processing, and computational linguistics to provide comprehensive and structured information about words in a language.

C. Python

Ans – Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used for a variety of applications, including web development, scientific computing, data analysis, artificial intelligence, and more. Python is known for its extensive libraries and community support, making it a popular choice for programmers and developers.

D. Terminology

Ans – Terminology refers to the specific vocabulary, terminology, or jargon used within a particular field, discipline, or domain. It includes specialized terms, concepts, and expressions that are unique to that area of knowledge. Effective communication within a specific field often relies on a shared understanding of its terminology.

E. Corpus

Ans – A corpus is a structured and extensive collection of texts or spoken language data that is systematically compiled and used for linguistic analysis and research. Corpora serve as the basis for various linguistic studies and applications, including natural language processing, lexicography, language teaching, and linguistic research.

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