A generic term for the ways in which different language systems in the mind interact and affect linguistic performance or development is

A generic term for the ways in which different language systems in the mind interact and affect linguistic performance or development is

• A. Cross-Linguistic Influence
• B. Developmental Features
• C. Declaritive Knowledge
• D. Corpus Linguistics

Answer: (A)

Cross-linguistic influence describes the ways different language systems in the mind interact and shape linguistic performance or development. It covers transfer, interference, and facilitation that occur when more than one language is active, showing how knowledge in one language can affect use in another. For example, L1 grammar affecting L2 word order or producing similar-sounding but differently used words across languages. This concept directly captures both positive and negative effects of having multiple languages in the mind, explaining why performance and development in one language can be influenced by another. Developmental features, declarative knowledge, and corpus linguistics, while important in their own right, focus on different aspects: development over time, explicit linguistic knowledge, and data-driven analysis of language use, respectively.

Cross-linguistic influence describes the ways different language systems in the mind interact and shape linguistic performance or development. It covers transfer, interference, and facilitation that occur when more than one language is active, showing how knowledge in one language can affect use in another. For example, L1 grammar affecting L2 word order or producing similar-sounding but differently used words across languages. This concept directly captures both positive and negative effects of having multiple languages in the mind, explaining why performance and development in one language can be influenced by another. Developmental features, declarative knowledge, and corpus linguistics, while important in their own right, focus on different aspects: development over time, explicit linguistic knowledge, and data-driven analysis of language use, respectively.