Analyse and synthesise language data from a variety of sources, constructing a clear, evidence‑based argument that meets the assessment criteria for Paper 3.
Paper 3 consists of two compulsory sections. Each section draws on the specific content required by the Cambridge 9093 syllabus.
“To be, or not to be, that is the question.” – Shakespeare, Hamlet (c. 1600)
[[ ]] – pause (duration in seconds){ } – overlap of speakers… – trailing off / unfinished utterance( ) – non‑linguistic gesture or action? – uncertain or unintelligible word+ – lexical replacement (e.g., dog + cat)| Section | Knowledge | Skills |
|---|---|---|
| Language Change | Chronology, functional theory, tree‑and‑wave model, diffusion, lexical diffusion, drivers of change, corpus terminology. | Read & interpret graphs/tables, describe linguistic change, evaluate causes, link change to social/technological context. |
| Child Acquisition | Acquisition stages, full CHILDES symbol set, major theories, error types, MLU calculation. | Transcribe short extracts, compute MLU, classify errors, relate data to theory, evaluate developmental progress. |
Paper 3 assesses five AOs. The table maps each stage of the analysis process to the relevant AO(s) and shows the weighting for the 2027‑2028 examination.
| Task Stage | Assessment Objective(s) | Weighting |
|---|---|---|
| Reading & understanding the prompt | AO1 – Knowledge & understanding of the task | 5 % |
| Scanning the data set (identifying relevant extracts) | AO5 – Synthesis of information from a range of sources | 10 % |
| Selecting & annotating extracts | AO5 | 10 % |
| Analysing language features (lexis, grammar, cohesion, etc.) | AO2 – Analysis of language | 45 % |
| Linking analysis to purpose/audience/knowledge of change or acquisition | AO3 – Evaluation of language use | 20 % |
| Formulating a coherent, evidence‑based argument | AO4 – Synthesis & presentation of a well‑structured argument | 20 % |
These terms are expected in a high‑scoring response. Use the definitions and examples as a quick reference.
| Term | Definition | Example |
|---|---|---|
| Nominalisation | Turning a verb or adjective into a noun. | “approve” → “approval” |
| Modality | Expression of attitude, likelihood, permission or obligation via modal verbs, adverbs or lexical items. | “must”, “might”, “probably” |
| Lexical diffusion | Gradual spread of a linguistic innovation through a speech community. | Adoption of “they’re” for “they are” across generations. |
| Wave model (tree‑and‑wave) | Change spreads outward from a centre in concentric waves, intersecting with other waves. | Southern British vowel shift influencing northern dialects. |
| Functional theory | Change is driven by the need for language to fulfil communicative functions efficiently. | Shift from “thou” to “you” to reduce ambiguity in address. |
| Over‑regularisation | Applying a regular rule to an irregular form in child speech. | “goed” for “went”. |
| Mean Length of Utterance (MLU) | Average number of morphemes per utterance; a measure of syntactic development. | MLU = 4.2 morphemes in a sample of 10 utterances. |
| Collocation | Words that frequently occur together in a corpus. | “strong tea”, “make a decision”. |
| Register | Variation in language use according to purpose, audience and context. | Formal academic register vs. informal chat register. |
[[ ]], overlap { }, trailing off …, gestures ( ), uncertainty ?, lexical replacement +.Source: National newspaper editorial, 12 March 2024
“The government’s latest climate‑action plan is a half‑hearted attempt to placate a public that is increasingly impatient. While the promised carbon‑neutral target by 2050 sounds ambitious, the lack of concrete milestones renders it little more than a political slogan. Citizens deserve policies that are not only visionary but also actionable.”
Graph shows the frequency of the collocation “climate‑change” in the British National Corpus (BNC) from 1990 to 2020. The line rises sharply from 2005, peaks in 2015, then plateaus.
Interpretation prompt: Explain what the graph suggests about public discourse on climate change and how this may influence language change.
Transcription of a 3‑year‑old’s interaction with a caregiver (CHILDES conventions).
C: [[0.5]] Wanna go to the park? A: Sure, we’ll go after lunch. C: I gonna play swings …
Key features: over‑regularisation (“gonna” for “going to”), omission of auxiliary “am”, use of the infinitive “play”.
[[0.5]] pause; … trailing off; no overlap symbols needed in this excerpt.| Criterion | Level 1‑2 (Limited) | Level 3‑4 (Adequate) | Level 5‑6 (Good) | Level 7‑8 (Excellent) |
|---|---|---|---|---|
| Understanding of the Question | Misinterprets or omits key aspects. | Addresses most parts; minor omissions. | Clear understanding; all parts addressed. | Insightful interpretation; nuanced response. |
| Selection of Data | Irrelevant or insufficient extracts. | Relevant extracts; limited range. | Well‑chosen extracts covering the data set. | Highly appropriate extracts illuminating subtle features. |
| Analysis of Language | Descriptive only; no analysis. | Basic analysis of a few features. | Detailed analysis of several linguistic features. | Sophisticated, multi‑dimensional analysis linking features to purpose. |
| Synthesis & Argument | Fragmented; no clear argument. | Simple argument; limited synthesis. | Coherent argument with logical synthesis. | Highly persuasive, nuanced synthesis across sources. |
| Structure & Communication | Poorly organised; many language errors. | Logical structure; occasional errors. | Clear structure; minimal errors. | Flawless organisation, academic register, and precision. |
| Symbol | Meaning |
|---|---|
[[seconds]] | Pause of specified duration. |
{ } | Overlap of speech between speakers. |
… | Trailing off / unfinished utterance. |
( ) | Non‑linguistic action or gesture. |
? | Unintelligible or uncertain word. |
+ | Lexical replacement (e.g., dog + cat). |
Create an account or Login to take a Quiz
Log in to suggest improvements to this note.
Your generous donation helps us continue providing free Cambridge IGCSE & A-Level resources, past papers, syllabus notes, revision questions, and high-quality online tutoring to students across Kenya.