How to Study

Read. Open the free textbook on Zenodo and use the printed page range shown for each chapter.

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Use the chapter directory to choose a topic, or work through the chapters in order. Chapter and topic titles follow the textbook; the short explanations provide separate study support.

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Explore the 15 Chapters

Choose a chapter to study its five core topics. Read the textbook pages, watch the video lesson, or listen to the podcast.

Chapter 1: Translation Technologies and Human Decisions

Textbook pp. 14–25

Translation technologies help with a task, but people remain responsible for meaning and readers. This chapter connects the translation brief with suitable tools, evidence, and safe working decisions.

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Five core topics

1.1 Translation Purposes, Audiences, and Briefs — Identify what the translation should enable its readers to do before choosing software or wording.

1.2 CAT, Machine Translation, and the Wider Toolkit — Distinguish human-led CAT work, automatically generated translation, and other tools by their actual functions.

1.3 Human Judgment in Technology-Assisted Work — Judge suggestions against the source, brief, and evidence rather than accepting fluent wording automatically.

1.4 Selecting Tools for a Translation Task — Compare tools with required formats, language support, confidentiality needs, and other task conditions.

1.5 Safe and Transparent Use from the Start — Clarify permission, confidentiality, and disclosure before using or uploading source material.

Chapter 2: Working with Arabic and English Digital Text

Textbook pp. 26–37

Arabic and English text can look correct while containing hidden problems in order, characters, or search behavior. This chapter develops practical checks for reliable digital text.

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Five core topics

2.1 Unicode, Encoding, and Text Integrity — Distinguish stored characters from displayed shapes and check whether text survives opening, copying, and export.

2.2 Right-to-Left Text and Mixed-Direction Content — Inspect paragraph direction and mixed Arabic, English, numeral, and punctuation display without reversing stored text manually.

2.3 Arabic Word Forms and Search Boundaries — Check how search settings handle attached Arabic elements and word boundaries before interpreting missing results.

2.4 Diacritics, Normalization, and Meaning — Consider how diacritics and normalization affect meaning, preserving authoritative wording unless changes are permitted.

2.5 Names, Numbers, Dates, and Regional Conventions — Use verified names and identifiers and clarify dates, numbers, and conventions for the intended readers.

Chapter 3: Preparing and Managing Translation Files

Textbook pp. 38–49

A dependable translation begins with usable source files and a clear workflow. This chapter covers editable content, OCR, document structure, versions, and checks before processing.

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Five core topics

3.1 File Types and Editable Content — Inspect the actual content and editing requirements instead of assuming that a file extension guarantees editable text.

3.2 Digitization, OCR, and Source Cleanup — Compare OCR output with the source and check completeness before relying on recognized text.

3.3 Document Structure, Tags, and Placeholders — Preserve headings, tables, links, tags, and placeholders that organize or control the document.

3.4 Folders, Versions, and Data Protection — Distinguish approved sources, working drafts, and deliverables while protecting access and version history.

3.5 Preflight Checks and Bilingual Exchange Files — Check source completeness, formats, settings, and exchange requirements before translation processing begins.

Chapter 4: Online Research and Translation Documentation

Textbook pp. 50–61

Useful translation research begins with a precise question. This chapter shows how to search Arabic and English sources, compare evidence, and record a defensible decision.

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Five core topics

4.1 Defining the Information Problem — Name the uncertainty about meaning, terminology, usage, or an institution before choosing a research route.

4.2 Searching in Arabic and English — Combine expressions with relevant subject and institutional context, checking both languages when useful.

4.3 Evaluating Dictionaries and Online Sources — Match each source’s authority and evidence to the question instead of relying on search ranking.

4.4 Triangulating Meaning and Usage — Compare concept explanations, recorded terms, and contextual use to support or reconsider a translation choice.

4.5 Keeping a Translation Research Record — Record the uncertainty, source context, evidence inspected, and reasoning behind the decision.

Chapter 5: Corpora and Concordance Tools

Textbook pp. 62–73

A collection of texts can reveal useful patterns when its evidence fits the question. This chapter introduces corpora, concordance lines, terminology investigation, and careful interpretation.

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Five core topics

5.1 Parallel and Comparable Corpora — Distinguish paired translations from independently written comparable texts and judge whether the collection fits the task.

5.2 Selecting and Preparing a Small Corpus — Define a focused question and select traceable, relevant texts with appropriate permissions and coverage.

5.3 Reading Concordance Lines in Context — Examine query hits with their surrounding context before drawing conclusions from repeated wording.

5.4 Investigating Terms and Phraseology — Use frequency, repeated phrases, and collocations as clues that need contextual investigation.

5.5 Interpreting Arabic–English Corpus Evidence — Account for Arabic forms, search settings, and collection design when comparing Arabic and English evidence.

Chapter 6: Terminology and Termbases

Textbook pp. 74–84

A bilingual term record connects an expression with its concept, context, and evidence. This chapter develops terminology resources that can be checked, maintained, and exchanged.

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Five core topics

6.1 Concepts, Terms, and Contextual Equivalence — Distinguish the concept from its label and check whether a proposed equivalent names the same concept in context.

6.2 Designing Useful Bilingual Term Records — Include definitions, domains, bilingual contexts, evidence, and status so a term record supports a reasoned choice.

6.3 Finding and Validating Candidate Terms — Check candidate terms against relevant conceptual and usage evidence before treating them as approved equivalents.

6.4 Termbase Import, Recognition, and Exchange — Inspect languages, encoding, fields, and recognition behavior when importing or exchanging terminology resources.

6.5 Arabization and Arabic–English Terminology — Compare Arabic terminology options for the actual concept, readers, and field rather than assuming one universal equivalent.

Chapter 7: Computer-Assisted Translation Workflows

Textbook pp. 85–95

A CAT project presents translation in segments while the reader uses a complete document. This chapter connects project setup and bilingual editing with human judgment and delivery checks.

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Five core topics

7.1 Setting Up a CAT Project — Translate the brief into correct languages, approved files, resources, settings, and required outputs.

7.2 Segments and Bilingual Editing — Work with segments while checking their relationships with the surrounding document.

7.3 Using Suggestions with Human Control — Identify where each suggestion comes from and assess it before accepting or editing the target text.

7.4 Preserving Tags and Checking the Preview — Protect structural tags and variables and inspect a preview to confirm that the document still works.

7.5 Exporting and Troubleshooting Deliverables — Export the agreed deliverables, reopen them, and investigate missing content or formatting problems.

Chapter 8: Translation Memories and Alignment

Textbook pp. 96–106

Earlier translations can support new work when their context and quality are understood. This chapter explains translation-memory records, matches, alignment, maintenance, and responsible reuse.

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Five core topics

8.1 Translation Units and Resource Metadata — Understand stored source–target units and inspect the context, origin, and status recorded with them.

8.2 Exact, Fuzzy, and Context Matches — Treat match labels and percentages as retrieval information that still requires contextual quality checking.

8.3 Aligning Existing Bilingual Documents — Confirm corresponding versions and inspect proposed pairings before turning bilingual documents into reusable units.

8.4 Cleaning and Maintaining Translation Memories — Review duplicates, conflicting targets, outdated wording, provenance, and permissions to maintain a dependable resource.

8.5 TMX Exchange and Responsible Reuse — Distinguish TMX from terminology and localization exchange formats and check permissions and data after transfer.

Chapter 9: Machine Translation: Principles and Suitability

Textbook pp. 107–118

Machine translation produces candidate wording that still needs evaluation. This chapter introduces approaches, data and domain effects, task suitability, source preparation, and checks beyond fluency.

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Five core topics

9.1 Rule-Based, Statistical, and Neural Approaches — Compare rule-based, statistical, and neural approaches while distinguishing generated output from stored-translation retrieval.

9.2 Training Data, Domain, and Language Direction — Consider how data quality, subject coverage, and language direction affect the evidence available for a task.

9.3 Selecting Suitable Tasks and Systems — Evaluate intended use, error consequences, confidentiality, and available review before choosing machine translation.

9.4 Preparing Text for Machine Translation — Make only authorized source preparations, preserving the original message rather than rewriting it to suit a system.

9.5 Evaluating Output Beyond Fluency — Compare the target with source facts, conditions, and relationships instead of judging natural language alone.

Chapter 10: Generative AI in Translation

Textbook pp. 119–129

Generative AI can assist with specific translation tasks, but its output requires clear limits and verification. This chapter develops focused prompts, bounded assistance, and checks for unsupported changes.

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Five core topics

10.1 Large Language Models and Translation Tasks — Identify the specific translation or support function requested from a language model and the checking it will require.

10.2 Prompts, Context, and Output Requirements — Specify the brief, readers, language direction, terminology, protected details, and expected output clearly.

10.3 Using AI for Bounded Translation Support — Use limited tasks whose inputs, outputs, and verification can be defined while retaining the translator’s decision.

10.4 Hallucinations, Bias, and Meaning Drift — Look for invented claims, biased wording, and changes in meaning even when the response sounds convincing.

10.5 Verification, Disclosure, and Data Boundaries — Verify against the source and independent evidence and follow agreed disclosure and data-use boundaries.

Chapter 11: Post-editing Machine and AI Translation

Textbook pp. 130–141

Post-editing compares an automated draft with the source and the agreed purpose. This chapter develops diagnosis, reader-focused revision, effort decisions, and documentation of important changes.

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Five core topics

11.1 Post-editing Goals and Quality Requirements — Compare automated wording with the source and agreed quality requirements rather than editing the target in isolation.

11.2 Diagnosing Meaning and Terminology Problems — Identify changed participants, actions, conditions, terminology, and facts before rewriting sentences.

11.3 Editing for the Target Reader — Improve grammar, register, coherence, and usability after confirming the meaning, staying within the brief.

11.4 Judging Effort and Choosing a Different Route — Decide whether repairing a draft or translating a unit afresh offers a more dependable route to the required result.

11.5 Documenting Changes and Final Responsibility — Record significant repairs and unresolved questions and accept responsibility for the final translation and format.

Chapter 12: Quality Assurance and Revision

Textbook pp. 142–153

Translation quality depends on the source, the intended use, and the delivered file. This chapter combines automated checks, bilingual revision, target-text review, and final inspection.

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Five core topics

12.1 Quality Criteria and Fitness for Purpose — Define quality through the translation’s purpose and requirements, including accuracy, completeness, and usability.

12.2 Automated Checks and Their Limits — Investigate automated warnings and record what was actually checked without treating every flag as a confirmed error.

12.3 Bilingual Revision and Target-Text Review — Combine source–target comparison with target-only review because each reveals different kinds of problems.

12.4 Error Categories, Severity, and Metrics — Classify problems and explain their consequences before using counts or scores to support an evaluation.

12.5 Arabic–English Delivery Checks — Open the delivered file and inspect content, structure, links, and Arabic–English display against the source inventory.

Chapter 13: Localization and Accessible Digital Content

Textbook pp. 154–165

Digital content must work in its interface and for its intended readers. This chapter connects localization with context, Arabic conventions, accessibility, and testing in use.

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Five core topics

13.1 Translation, Localization, and Internationalization — Distinguish transferring meaning, adapting a product for an audience, and designing it to support later adaptation.

13.2 Strings, Variables, and Limited Context — Use interface context to interpret short strings and preserve variables that will supply changing content.

13.3 Arabic Interfaces and Local Conventions — Inspect Arabic layout, mixed-direction content, and local conventions in the actual interface.

13.4 Speech, Captions, and Accessible Content — Compare transcripts and timed text with speech and relevant sounds while considering readers’ access needs.

13.5 Testing Localized Content in Use — Check language, functions, visible layout, and access in the localized product rather than reviewing strings alone.

Chapter 14: Translation Projects and Collaboration

Textbook pp. 166–177

A translation project needs shared requirements, clear responsibilities, and controlled delivery. This chapter develops resource management, file exchange, realistic estimates, and useful feedback.

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Five core topics

14.1 Roles, Briefs, and Workflow Planning — Agree on audience, direction, formats, permitted assistance, review, approval, and responsibility for questions.

14.2 Shared Resources and Access Control — Keep approved versions, editing rights, and resource status clear when terminology and memories are shared.

14.3 Interoperability and Project Handoffs — Choose exchange formats suited to their purpose and verify that required data survive each handoff.

14.4 Time, Word Counts, and Project Estimates — Estimate preparation, research, translation, revision, and delivery checks under the actual task conditions.

14.5 Delivery, Feedback, and Resource Updates — Check agreed outputs before handoff and use verified feedback to improve project resources.

Chapter 15: Ethics, Professional Responsibility, and Continuing Learning

Textbook pp. 178–189

Responsible technology use includes rights, confidentiality, accountability, and access. This chapter connects these obligations with manageable workloads and continuing professional learning.

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Five core topics

15.1 Confidentiality, Consent, and Data Governance — Clarify who may collect, process, access, share, retain, and delete entrusted material before using a tool.

15.2 Copyright, Attribution, and Resource Reuse — Distinguish access and attribution from permission to copy, adapt, or redistribute a resource.

15.3 Accountability, Bias, and Human Agency — Explain the evidence and checks behind decisions and retain human responsibility for biased or inaccurate output.

15.4 Access, Workload, and Sustainable Practice — Consider affordability, connectivity, accessibility, language support, and workload when planning a usable workflow.

15.5 Evaluating Change and Continuing Learning — Update tool knowledge through focused practice while continuing to strengthen bilingual competence and evidence-based judgment.

About the textbook

Foundations of Translation Technologies: For EFL University Students

Project Director: Prof. Munassir Alhamami · First Edition | Version 1

Alhamami, M. (2026). Foundations of translation technologies: For EFL university students (First Edition, Version 1). Zenodo. https://doi.org/10.5281/zenodo.23093604

Read or download the free textbook on Zenodo

Except where otherwise stated, the original content is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Material credited to other sources remains subject to the terms stated for that material.

Creative Commons Attribution 4.0 International

Developed with assistance from ChatGPT, Claude, Gemini, and NotebookLM. The Project Director is responsible for the final editorial decisions and released version.

Chapter titles and topic headings retain the textbook’s wording. Chapter introductions and explanations on this page are simplified study support.