WHAT IS DISCOURSE ANALYLISIS

Honelako gehiago

Product and Company Identifiers

by Di Ca

Organigrama Arbol

by Adriana Mendoza

Types of gears

by Jaskaran Singh

Sample Mind Map

by Juanito Rodriguez Saenz

WHAT IS DISCOURSE ANALYLISIS

5. ON SEMANTIC IN-VARIANT OF THE CLASS OF WORDS WITH GENITIVE SUBJECT

Cognate Semantics in Genitive Subject Groups

Explains conversational implicatures related to the absence of an object in the field of vision.

Group I and Group II genitive subjects determined by different, yet cognate, semantic components.

Semantic Invariant in Genitive Verbs

Two distinct but related semantic components explain the use of genitive subjects in negative sentences.

Introduces the concept of genitive verbs with a semantic invariant.

Syntactic Feature and Semantic Affinity

Apresjan's list of over two hundred verbs, emphasizing the role of a unique syntactic feature.

Asserts case choice linked to a syntactic feature in verb groups.

Case Choice in Genitive Subject Construction

Notes instances where nominative is also possible, introducing syntactic features of verbs.

Examines case selection in genitive subject construction in Russian.

4. SEMANTIC FEATURES AND SELECTION RESTRICTIONS IN LEXICON AND GRAMMAR

Semantic Invariants in Predicate Classes

Semantic component 'X knows' influences the semantic options of certain predicates.

Identifies a semantic invariant in predicates introducing indirect questions.

Semantically Motivated Selection Restrictions

Examples include Neg-Raising predicates and Russian conjunctions following specific semantic components.

Many syntactic restrictions prove to be semantically motivated.

Semantic Features vs. Syntactic Features

Anna Wierzbicka asserts grammar's selection restrictions are motivated by semantic features.

Suggests semantic features, not syntactic ones, regulate selection restrictions.

Semantic Features in NLP

Argues for the significance of semantic features in modern semantics, even in complex contexts.

Semantic features viewed as subsidiary in NLP systems in the past.

Evolution of Semantic Features

By the 70s and 80s, semantic features took a secondary role, but recent trends argue for their importance.

Semantic features were vital in 60s semantic analysis.

CHAMBA

In the DB, for each lexeme or semantic feature all documents containing lexicographically useful lexicographically useful information about that lexeme or feature.

LBD is a vocabulary presented in a machine-readable machine-readable form and consisting of several domains, as in a usual relational database.

The system consists of two basic components

Bibliographic database (BBD)

Lexical database (LBD)

LEXICOGRAPllER

Is an expert system designed primarily for natural language processing purposes.