Linguistic argumentation

📘 ENGLISH LINGUISTIC RESOURCES FOR ARGUMENTATION

Resource

Function

Enables

Example

Discourse Marking System

Signals logical relations between sentences or clauses

Inference, Counterargument, Reframing

The results are consistent. Therefore the model is robust.

Clause Linking System

Connects clauses via causal, concessive, or conditional relations

Inference, Qualification, Counterargument

Although the method is efficient it introduces risks.

Modal System (Epistemic Modality)

Expresses certainty, probability, and epistemic stance

Inference, Qualification, Evaluation

The system may perform better under constrained conditions.

Evidential & Reporting System

Marks source or attribution of information

Evidence Attribution, Inference

According to the report efficiency increased significantly.

Nominalization System

Converts processes into abstract entities for reasoning

Definition, Decomposition, Distinction, Generalization

The causation of the failure remains unclear.

Comparative & Scalar System

Encodes degree and relative evaluation

Evaluation, Generalization, Distinction

The new method is significantly more efficient than the baseline.

Information Structure System

Controls focus, contrast, and framing within clauses

Reframing, Distinction, Evaluation

It is not cost but scalability that matters most.

Genericity & Quantification System

Encodes generality and frequency across categories

Generalization, Inference

Most users adapt quickly to the system.

Clause Packaging System (Embedding & Attribution)

Embeds propositions for stance, distance, or impersonal framing

Evidence Attribution, Qualification, Inference

It appears that the system stabilizes over time.

1. Discourse Marking System

Function
Signals logical relations between propositions across sentences.

Core markers
therefore, thus, hence, consequently, however, nevertheless, on the other hand, as a result

Canonical examples

The dataset shows consistent improvement across all conditions. Therefore the method appears robust.

The initial hypothesis was plausible. However the new evidence contradicts it.

Enables
Inference, Counterargument & Concession, Reframing

Nature
Discourse adverbials encoding coherence relations between clauses and sentences.


2. Clause Linking System

Function
Connects clauses through causal, concessive, or conditional relations.

Core markers
because, since, so, although, even though, while, if…then

Canonical examples

The model failed because the input data was incomplete.

Although the approach is efficient it introduces new risks.

Enables
Inference, Qualification, Counterargument & Concession

Nature
Subordination system encoding logical relations between clauses.



4. Evidential & Reporting System

Function
Marks the source of information or attribution of claims.

Core markers
according to X, X argues that, X suggests that, X reports that, X claims that, it is reported that, there is evidence that

Canonical examples

According to the report efficiency increased by 15 percent.

Researchers suggest that the effect is context-dependent.

Enables
Evidence Attribution, Inference

Nature
Reporting verbs and evidential constructions encoding epistemic source.


5. Nominalization System

Function
Converts processes and relations into abstract entities for reasoning.

Core markers
causation, efficiency, implementation, legitimacy, interaction, development

Canonical examples

The causation of the failure remains unclear.

Efficiency depends on system architecture.

Enables
Definition, Analytical Decomposition, Distinction, Generalization

Nature
Lexical-grammatical abstraction mechanism in academic English.


6. Comparative & Scalar System

Function
Encodes degree, ranking, and relative evaluation.

Core markers
more, less, better, worse, significantly, slightly, compared to, relative to

Canonical examples

The new approach is significantly more efficient than the previous one.

Performance is better compared to baseline models.

Enables
Evaluation, Generalization, Distinction (partial)

Nature
Scalar gradability system in adjectives and adverbs.


7. Information Structure System

Function
Controls focus, contrast, and framing of information within clauses.

Core markers
it is not X but Y, what matters is…, the real issue is…, it is X that…, topicalization structures

Canonical examples

It is not cost but scalability that determines feasibility.

What matters is the long-term stability of the system.

Enables
Reframing, Distinction, Evaluation

Nature
Focus and prominence management in clause structure.


8. Genericity & Quantification System

Function
Expresses generalizations and category-level statements.

Core markers
most, many, some, few, usually, often, typically, in general, as a rule, tends to, is associated with

Canonical examples

Most users adapt quickly to the new system.

In general students perform better with consistent practice.

Enables
Generalization, Inference (statistical form)

Nature
Determiner system + adverbs of frequency + generic reference.


9. Clause Packaging System (Attribution & Embedding)

Function
Embeds propositions to signal stance, distance, or impersonal framing.

Core markers
it is said that, it appears that, it is believed that, X suggests that, there is evidence that

Canonical examples

It appears that the system stabilizes after repeated use.

It is believed that early intervention improves outcomes.

Enables
Evidence Attribution, Qualification, Inference

Nature
Impersonal clause constructions and embedding structures.


10. Summary Mapping Logic

Each reasoning pattern in Sheet 1 emerges from combinations of these systems, not from a single marker.

Examples:

Inference
→ discourse markers + clause linking + modality + evidential verbs

Reframing
→ information structure + discourse markers

Counterargument
→ concessive linking + discourse markers + evidential reporting

Evaluation
→ scalar system + modal system + evaluative adjectives


Note

This sheet describes the linguistic substrate of argumentative English:

not what writers do, but what English makes structurally easy to express.