# Language, translation and localisation
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language: en
content_type: solutions
status: published
description: Systems that analyse, generate, translate and localise content while maintaining meaning, terminology, register and intent.

Adapting language while preserving meaning, terminology and intent.

- **Linguistic research** — Locating evidence about differences of meaning, usage, register and context.
- **Terminology** — Keeping glossaries, concepts and decisions coherent throughout the project.
- **Context** — Taking in audience, format, domain, intent and communicative situation.
- **Generation** — Proposing translations and adaptations appropriate to the defined conditions.
- **Evaluation** — Examining semantic fidelity, unnecessary changes, omissions, register and consistency.
- **Review** — Presenting doubts and alternatives in a way that is useful to the person responsible for the content.

## What can be adapted

- languages
- national varieties
- registers
- specialised domains
- channels
- formats
- levels of knowledge

## Principle

An adaptation is better when it preserves meaning, terminology and relationships, and adapts only what the audience and the context demand.

## Qué podemos enseñar

- **Cómo funciona** — We separate what must remain invariant — figures, names, terminology, legal obligations — from what may be reformulated. A glossary and a translation memory fix the former; the language model works on the latter, with automatic checks of terminology and of non-translatable elements. Deviations are flagged for review instead of being corrected silently.
- **Qué podemos mostrar** — We can show a multilingual alignment demonstrator over public corpora, the glossary and the invariance rules, and real examples of a change of meaning detected during review.
- **Cómo se evalúa** — Besides the usual automatic metrics, we use human review to evaluate the change of meaning that is linguistically natural, which is precisely where the metrics fail. We measure terminological compliance and the preservation of the invariant elements separately.
- **Límites** — We are evaluating the system by specific language pairs and domains; a good result in one does not transfer automatically to another. Register and cultural conventions still require human judgement. Detecting subtle shifts of meaning remains an open question for us.
- **Estado** — evaluation

## Adapting a piece of content without losing what must remain.

Translating and localising consists of adapting language, variety, register, references and conventions while preserving the meaning, the terminology and the relationships that hold the content together.

A piece of content contains intent, terminology, register, relationships, references, cultural assumptions and domain constraints, as well as its words.

We build systems that research, generate and evaluate controlled adaptations across languages, language varieties, audiences and formats.

This line draws on Excorpora, our research and evaluation work for locating real differences between varieties, domains and contexts without introducing unnecessary changes.

## Contrastive research and invariants

Localisation adapts language, variety, terminology, register, references, conventions, formats and audience expectations.

The system declares invariants: meaning, figures, names, relationships, conditions, obligations, units and protected terminology.

Contrastive research and adversarial review help to detect surface changes that look natural yet shift the sense. The evaluation contrasts the result with sources, invariants and purpose.

## Varieties, register and audience

The same information may need different expressions for specialists, management, users, students, clients or automated systems. The adaptation modifies selection, explanation, examples, density and vocabulary.

Excorpora develops this line with particular attention to national varieties and semantic fidelity.

## NLG composition and multimodality

Natural language generation — NLG — turns informational structures into language through rules, templates, calculations and generative models. The deterministic part protects what must remain exact; the generative part adapts selection, explanation and style.

When the content reaches voice, subtitles or video, the adaptation additionally takes in pronunciation, pacing, duration, synchronisation, legibility and correspondence between voice and image.

## Adversarial auditing

We evaluate fidelity, terminology, naturalness, register, necessary change, omission, addition, coherence and fitness for the audience separately. Fluency can coexist with a shift of meaning, and that is precisely the condition adversarial review looks for.

This page goes deeper into one application of informational intelligence; the corresponding technical capability lives in Linguistic engineering and knowledge-based generation.

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