Major Entry In A Lexical Database

A major entry in a lexical database represents a significant linguistic unit, like a word or phrase. It includes detailed information, forming the core of a comprehensive lexicon.

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Understanding Major Entries in Lexical Databases

A major entry in a lexical database is a fundamental unit representing a significant linguistic item, such as a word, lemma, or multi-word expression. These entries are the backbone of any lexicon, providing structured information about lexical items.

Key Components of a Major Entry

Each major entry typically contains:

  • Lemma: The canonical form of the word.
  • Part of Speech: Grammatical category (noun, verb, adjective, etc.).
  • Definitions: Explanations of the word’s meaning(s).
  • Synonyms and Antonyms: Related words.
  • Collocations: Words that frequently co-occur.
  • Morphological Information: Inflectional and derivational forms.
  • Phonetic Transcription: Pronunciation details.

Deep Dive: Structure and Significance

The structure of a major entry is designed for both human readability and machine processing. Detailed semantic and syntactic information is crucial for understanding word usage. These entries are vital for computational linguistics, natural language processing (NLP), and lexicography.

Applications in NLP and Linguistics

Major entries power various applications:

  • Machine translation
  • Information retrieval
  • Sentiment analysis
  • Lexical analysis
  • Language learning tools

Challenges and Misconceptions

Challenges include handling polysemy (multiple meanings) and synonymy. A common misconception is that a lexicon is just a dictionary; lexical databases are far more structured and computationally oriented.

FAQs

Q: What distinguishes a major entry from a minor one?
A: Major entries represent core lexical items with extensive associated data, while minor entries might be less common or have less detailed information.

Q: How are these entries created?
A: They are typically compiled by lexicographers, linguists, and through automated corpus analysis.

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