Foundations of Linguistics: Defining Language, Thought, and Their Interconnection

At the heart of this volume lies a question that has captivated scholars across disciplines for over a century: to what extent does the language we speak shape the way we think, perceive the world, and reason about abstract concepts? This seemingly simple query sits at the intersection of linguistics, psychology, anthropology, philosophy, and cognitive science, and its answers carry profound implications for our understanding of human nature, cultural diversity, and even the design of artificial intelligence systems. Before we can engage with empirical evidence and theoretical debates surrounding this question, we must first establish clear, operationalized definitions of our core terms, map the landscape of competing theoretical positions, clarify the boundaries of our inquiry relative to adjacent fields, and introduce the methodological tools that researchers use to investigate language-thought links. This chapter lays exactly this foundational groundwork, serving as a roadmap for the entire 15-chapter volume.

Defining Core Concepts: Language, Thought, and Cognition

The first barrier to productive inquiry into language-thought relations is the ambiguity of the terms themselves. Each of our three core concepts is defined differently across disciplines, and even within disciplines, scholars often disagree on precise boundaries. For the purposes of this volume, we will first review cross-disciplinary definitions, then establish operationalized definitions that will guide all subsequent discussion.

What Is Language?

For linguists, language is most commonly defined as an arbitrary, rule-based symbolic system used for human communication and mental representation. This definition draws on Ferdinand de Saussure’s foundational distinction between *langue* (the shared, abstract rule system of a speech community) and *parole* (individual instances of language use in speech or writing). Noam Chomsky’s generative linguistics framework later refined this distinction into *competence* (a speaker’s implicit knowledge of their language’s rules) and *performance* (the actual use of language in real-world contexts, which may be constrained by memory, attention, or other cognitive factors). Critically, contemporary linguistics rejects the outdated view that language is limited to spoken or written symbols: signed languages such as American Sign Language (ASL) or British Sign Language (BSL) are fully fledged languages with their own phonology, morphology, syntax, and semantics, and research consistently shows that the cognitive effects of signed language use mirror those of spoken language use. For the purposes of this volume, we adopt a broad, inclusive definition of language: the full set of structural features of a speaker’s native language, including phonological, lexical, syntactic, semantic, and pragmatic rules, regardless of modality (spoken, signed, written, or even digital symbolic systems such as emojis, which have been shown to function as a supplementary symbolic system for many digital communicators).

> 📌 侧边栏：操作化（Operationalization）的核心作用 > 在社会科学研究中，“操作化”是指将抽象的、难以直接测量的理论概念转化为具体的、可观察、可验证的变量的过程。例如，本章中“语言”是一个抽象理论概念，我们将其操作化为“母语的语音、词汇、句法、语义、语用五个层面的具体结构特征”；“思维”则操作化为“感知反应时、记忆准确率、推理任务表现”等可量化的行为指标。操作化是实证研究的基础，确保研究概念具备可重复性和可证伪性，避免模糊的思辨讨论滑向无意义的语义争论。

What Is Thought and Cognition?

The definition of thought varies even more widely across disciplines. In philosophy, thought is traditionally framed as an indirect, generalized reflection of objective reality, a definition dating back to Descartes’ famous dictum *cogito, ergo sum* (“I think, therefore I am”). Ludwig Wittgenstein’s later philosophy of language further linked thought to language, arguing that “the limits of my language mean the limits of my world” – a claim that lies at the core of language-thought debates. In cognitive science, thought is defined as the set of mental processes by which the brain encodes, stores, retrieves, and manipulates information to solve problems, make decisions, and interact with the environment. These processes include low-level perceptual operations (e.g., distinguishing a red apple from a green one) and high-level abstract reasoning (e.g., solving a mathematical proof or evaluating a moral dilemma).

Cognition is a broader, umbrella term that encompasses thought, as well as all other mental processes: perception, attention, memory, emotion, motivation, and action planning. For the purposes of this volume, we will use “cognition” to refer to the full set of mental processes, and “thought” to refer specifically to the higher-order information manipulation processes (reasoning, problem-solving, abstract conceptualization) that are most often linked to language in theoretical debates. It is also critical to distinguish between *linguistic thought* (thinking mediated by natural language, e.g., silently talking to yourself while making a grocery list) and *non-linguistic thought* (thinking that does not rely on language, e.g., a painter visualizing a composition before putting brush to canvas, or a basketball player calculating a pass trajectory mid-game). This distinction is crucial because it immediately complicates the simplistic claim that “language is thought”: while language may shape linguistic thought, non-linguistic thought operates via different representational systems (visual, sensorimotor, mathematical) that may be less susceptible to linguistic influence.

The Theoretical Spectrum: Competing Positions on Language-Th

The first barrier to productive inquiry into language-thought relations is the ambiguity of the terms themselves. Each of our three core concepts is defined differently across disciplines, and even within disciplines, scholars often disagree on precise boundaries. For the purposes of this volume, we will first review cross-disciplinary definitions, then establish operationalized definitions that will guide all subsequent discussion.

Defining Core Concepts: Language, Thought, and Cognition

What Is Language?

For linguists, language is most commonly defined as an arbitrary, rule-based symbolic system used for human communication and mental representation. This definition draws on Ferdinand de Saussure’s foundational distinction between *langue* (the shared, abstract rule system of a speech community) and *parole* (individual instances of language use in speech or writing). Noam Chomsky’s generative linguistics framework later refined this distinction into *competence* (a speaker’s implicit knowledge of their language’s rules) and *performance* (the actual use of language in real-world contexts, which may be constrained by memory, attention, or other cognitive factors). Critically, contemporary linguistics rejects the outdated view that language is limited to spoken or written symbols: signed languages such as American Sign Language (ASL) or British Sign Language (BSL) are fully fledged languages with their own phonology, morphology, syntax, and semantics, and research consistently shows that the cognitive effects of signed language use mirror those of spoken language use. For the purposes of this volume, we adopt a broad, inclusive definition of language: the full set of structural features of a speaker’s native language, including phonological, lexical, syntactic, semantic, and pragmatic rules, regardless of modality (spoken, signed, written, or even digital symbolic systems such as emojis, which have been shown to function as a supplementary symbolic system for many digital communicators).

> 📌 Sidebar: The Core Role of Operationalization > In social science research, operationalization refers to the process of translating abstract, hard-to-measure theoretical concepts into concrete, observable, and verifiable variables. For example, "language" is an abstract theoretical concept in this chapter, which we operationalize as the specific structural features of a native language across five levels: phonology, lexicon, sy