Analyse and synthesise language data from a variety of sources

Cambridge International AS & A Level English Language (9093) – Paper 3: Language Analysis

Learning Objective

Analyse and synthesise language data from a variety of sources, constructing a clear, evidence‑based argument that meets the assessment criteria for Paper 3.

Why This Skill Matters

  • Develops critical reading and interpretation of real‑world and corpus‑derived texts.
  • Prepares students for university‑level discourse analysis and linguistic research.
  • Enhances the ability to construct coherent, data‑driven arguments under timed conditions.

Scope of Paper 3 (2027‑2028 Syllabus)

Paper 3 consists of two compulsory sections. Each section draws on the specific content required by the Cambridge 9093 syllabus.

Section A – Language Change

  • Chronology of English: Old English → Middle English → Early Modern English → Present‑day English (clear time‑period boundaries).
    Example of a pre‑modern text (Early Modern English):
    “To be, or not to be, that is the question.” – Shakespeare, Hamlet (c. 1600)
  • Theories of language change:
    • Functional Theory
    • Wave Model (Tree‑and‑Wave)
    • Diffusion & Lexical Diffusion
    • Grammaticalisation (internal change)
  • Key drivers of change: social, technological, language contact, internal grammaticalisation.
  • Corpus‑based analysis: n‑gram graphs, word‑frequency tables, collocation charts, concordance lines.
  • Core terminology: neologism, archaism, semantic shift, lexical borrowing, nominalisation, modality, register, etc.

Section B – Child Language Acquisition

  • Stages of acquisition: reflexive babbling → canonical babbling → holophrastic → telegraphic → post‑telegraphic.
  • CHILDES transcription conventions (the symbols required in the exam):
    • [[ ]] – 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)
  • Theories of acquisition: Language Acquisition Device (LAD), Interactionist view, Usage‑based theory.
  • Key concepts: over‑regularisation, over‑extension, lexical development, morphosyntactic development, lexical density, Mean Length of Utterance (MLU).
  • Analysis of child‑speech data: calculate MLU, identify error types, assess lexical density, link observations to developmental stage and theory.

Checklist – Knowledge & Skills Required

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.

Alignment with Assessment Objectives (AOs)

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 %

Key Stages of a Paper 3 Response

  1. Understand the prompt – note the required focus (audience, purpose, change, acquisition stage) and the expected output format.
  2. Scan the data set – identify the range of sources (editorial, corpus graph, child transcript, advertisement, speech).
  3. Select relevant extracts – choose extracts that illustrate the linguistic features demanded by the question.
  4. Analyse language features – use the analytical checklist (lexis, grammar, cohesion, modality, rhetoric, discourse conventions).
  5. Synthesise findings – combine observations across extracts to answer the prompt, showing links between language and purpose/changes.
  6. Structure the response – introduction, body paragraphs (PEE: Point‑Evidence‑Explanation), conclusion.
  7. Review – check terminology, citation of extracts, and overall coherence.

Core Terminology (Syllabus Vocabulary)

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.

Analytical Checklist (What to Look For)

  • Lexical choices – connotation, register, jargon, neologisms, archaisms.
  • Grammatical patterns – passive/active, nominalisation, clause types, tense‑aspect.
  • Cohesion & coherence – reference, conjunctions, ellipsis, paragraphing, discourse markers.
  • Modality & attitude – modal verbs, hedging, intensifiers, epistemic stance.
  • Rhetorical devices – metaphor, repetition, rhetorical question, irony, parallelism.
  • Audience & purpose – implied reader, persuasive strategies, informational tone, credibility tactics.
  • Corpus‑specific features – n‑gram trends, frequency spikes, collocational patterns.
  • Child‑speech conventions – pauses [[ ]], overlap { }, trailing off , gestures ( ), uncertainty ?, lexical replacement +.

Sample Data Sets

Sample 1 – Newspaper Editorial (Section A)

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.”

Sample 2 – Corpus‑Derived n‑gram Graph (Section A)

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.

Sample 3 – Child Speech Transcript (Section B)

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”.


Step‑by‑Step Analyses (Illustrative)

Sample 1 – Editorial

  1. Focus: Evaluate how language constructs a critical stance toward government policy.
  2. Lexical analysis: “half‑hearted”, “placate”, “impatient”, “slogan” (negative connotations); “visionary”, “actionable” (positive contrast).
  3. Grammatical analysis: Passive construction “is a half‑hearted attempt” distances author; nominalisation “lack of concrete milestones”.
  4. Cohesion: Pronoun “it” refers back to “the promised carbon‑neutral target”.
  5. Modality: Deontic stance in “deserve” (obligation).
  6. Rhetorical devices: Contrastive pairing “visionary … but also actionable” highlights the gap between rhetoric and practice.
  7. Evaluation: The lexical and grammatical choices reinforce a persuasive, critical purpose aimed at a politically aware adult audience.

Sample 2 – Corpus Graph

  1. Focus: Explain the relationship between frequency change and language change.
  2. Trend description: Steady rise (1990‑2005), sharp increase (2005‑2015), plateau (2015‑2020).
  3. Interpretation: Spike coincides with major climate‑summit events (Copenhagen 2009, Paris 2015); external sociopolitical factors drive lexical diffusion.
  4. Change mechanisms: Demonstrates lexical diffusion and the wave model – the term spreads from media hubs outward, intersecting with other lexical waves.
  5. Functional theory link: Increased communicative need for a concise label (“climate‑change”) leads to its entrenchment.
  6. Evaluation: The plateau may indicate lexical stabilisation; future change could involve semantic broadening (e.g., “climate‑change” used metaphorically for societal shifts).

Sample 3 – Child Transcript

  1. Focus: Identify acquisition stage and error types.
  2. Stage: Tele‑graphic stage – short, content‑heavy utterances with limited functional morphemes.
  3. Transcription conventions: [[0.5]] pause; trailing off; no overlap symbols needed in this excerpt.
  4. Lexical & grammatical features: Over‑regularisation (“gonna”), omission of auxiliary (“I … play”), infinitive without “to”.
  5. MLU calculation: (4 morphemes + 5 morphemes) ÷ 2 utterances = 4.5 MLU → typical for a 3‑year‑old.
  6. Theoretical link: Supports the interactionist view – caregiver scaffolding (“Sure, we’ll go…”) prompts extended utterances and gradual acquisition of auxiliaries.

Marking Criteria Overview (Paper 3)

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.

Quick Reference – CHILDES Transcription Symbols (Required for Section B)

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).

Study Tips for Paper 3

  • Practice scanning a full data set within 5 minutes – you need to locate relevant extracts quickly.
  • Build a personal “analytical checklist” card (lexis, grammar, cohesion, modality, rhetoric) to use in the exam.
  • When working with graphs, always describe the trend before interpreting its significance.
  • For child transcripts, calculate MLU on the spot – remember to count morphemes, not words.
  • Use the PEE paragraph structure consistently; it ensures AO2 and AO4 are met.

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