Natural Language Semantics focuses on understanding the meaning of words, phrases, and sentences in natural language.

Pragmatics aims to understand how language is used in different contexts and how speakers convey meaning beyond the literal meaning of words.

Lexical ambiguity refers to the phenomenon where a word or phrase can have multiple meanings, which is a central topic in Natural Language Semantics.

Pragmatic inference involves using contextual information to derive meaning beyond the literal meaning of words.

The use of pronouns to refer to entities in a discourse is an example of how context affects the interpretation of language.

Syntax is the study of the rules that govern the combination of words and phrases into sentences.

Lexical ambiguity, structural ambiguity, and referential ambiguity are all types of semantic ambiguity.

Psycholinguistics is the study of the relationship between language and the mind, including how language is processed and produced.

Speech acts, conversational implicature, and Gricean maxims are all key concepts in Pragmatics.

Sociolinguistics is the study of the relationship between language and society, including how language varies across different social groups.

Assertives, directives, commissives, and expressives are all types of speech acts.

Historical linguistics is the study of the historical development of language, including how languages change over time.

Conventional implicature, generalized implicature, and particularized implicature are all types of conversational implicature.

Computational linguistics is the study of the use of language in computer systems, including natural language processing and machine translation.

Compositionality, truth conditions, and reference are all key concepts in Natural Language Semantics.