European Portuguese supported by formal study in Translation and Language Sciences.
Language & AI · Portuguese (Portugal)
Human language, evaluated with precision.
I work at the intersection of European Portuguese, translation and language technology. I evaluate human and machine-generated text for accuracy, naturalness, terminology, consistency and PT-PT locale fit.
Evaluation of accuracy, fluency, terminology, interference and naturalness.
Workflows using memoQ, Trados Studio, translation memories and terminology resources.
Scientific EN to PT-PT translation published by EM-Movimento.
Capabilities
What I evaluate and what I deliver.
European Portuguese
Language review for PT-PT, including PT-BR interference, register, grammar, lexical choice and naturalness.
PT-BR → PT-PTRegister and toneNaturalnessConsistency
Translation and localization
Adapting content for readers and users in Portugal while preserving meaning, intent and function.
EN → PT-PTUX copySpecializedLocalization
MT and AI language
Evaluation and post-editing of machine output with attention to meaning errors, artificial wording and recurring patterns.
MT evaluationPost-editingError + severityLanguage quality
Terminology and QA
Term control, cross-segment consistency and final review inside technology-assisted workflows.
TerminologyCAT toolsMemoriesLinguistic QA
Evidence
Work that makes the skills verifiable.
01PT-PT Localization QADemonstration with 5 UI strings, before/after localization and an issue report.Demonstration / QA02EM-MovimentoScientific EN to PT-PT translation with publication, external review and repeat collaboration.Published / Translation03AI-assisted Chinese to English Translation StudyComparative academic study of news and literature, human post-editing, target-language responsibility and explicit limitations.Academic / AI04Translation, MT & QA at NOVA FCSHPost-editing, bilingual terminology, CAT work, specialized translation and critical quality analysis.Academic / Applied
Academic practice
Structured training applied to tasks close to real language work.
I do not present university work as commercial employment. It is evidence of structured practice: translation, post-editing, terminology and QA tasks with explicit linguistic criteria.
MT / Post-editing
Machine translation analysis, identification of problematic segments and revision into natural European Portuguese.
EN-PT terminology
Creation and use of bilingual terminology resources for consistency in specialized domains.
memoQ / CAT
Computer-assisted translation projects using terminology, translation memory and segmented workflows.
Specialized translation
Work across technical-scientific, business and legal-administrative contexts.
Marketing / Tourism
Adaptation of promotional content with attention to audience, intent and naturalness.
QA criteria
Development of post-editing checklists and critical reflection on translation decisions.
Language evaluation
A sentence can be correct and still be wrong for the product.
When evaluating MT or AI-generated language, I separate surface correctness from actual language quality. A sentence may be grammatical while still being inaccurate, inconsistent, unnatural or inappropriate for Portugal.
Meaning
Compare against the source and identify omissions, additions or shifts in meaning.
Locale
Check vocabulary, constructions, formatting and conventions for PT-PT.
Naturalness
Remove calques and formulations that read as translated or mechanically generated.
Consistency
Verify terminology, tone, punctuation and cross-segment patterns before delivery.
Language stack
Tools and language coverage.
- Portuguese (Portugal)
- Native
- English
- C2
- Spanish
- B2
- German
- A2
Next step
See the linguistic judgment instead of only reading about it.
The Localization QA sample shows concrete PT-PT decisions. EM-Movimento shows published scientific work with external review. The AI translation study shows how I evaluate the limits of machine assistance across different text genres.