Commissioned Research
Top 10 Best Text Translation Services of 2026

GITNUXSOFTWARE REVIEW

Language Culture

Top 10 Best Text Translation Services of 2026

Guide to text translation for teams, comparing Gengo, RWS, and TransPerfect options and the tradeoffs for scope and language needs.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Text translation services convert source content into multilingual deliverables under repeatable workflows, whether the output is marketing copy, product UI, or regulated documents. This comparison helps teams weigh delivery models, linguistic coverage, and integration options like APIs, automation, and configuration for high-throughput localization without losing terminology control.

Gengo is the best pick for teams that need governed, human text translations in an API-driven pipeline because it lets you provision translation jobs with language-pair routing and structured metadata for repeatable queue automation, whereas RWS fits enterprises that prioritize terminology governance and reuse tied into the delivery workflow.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Gengo

Gengo API job provisioning with language-pair routing and metadata for automation across translation queues.

Best for: Fits when teams need governed, human translations with an API-first integration surface for ongoing content pipelines.

2

RWS

Editor pick

Terminology and language asset reuse wired into translation delivery workflows with configurable governance steps.

Best for: Fits when enterprises need controlled localization with API-driven orchestration and terminology governance.

3

TransPerfect

Editor pick

Governance-focused operations with RBAC-style access control and audit log practices for translation job administration.

Best for: Fits when enterprise teams need governed translation operations with API-driven automation and structured job metadata.

Comparison Table

1
GengoBest overall
agency
9.0/10
Overall
2
enterprise_vendor
8.9/10
Overall
3
enterprise_vendor
8.6/10
Overall
4
enterprise_vendor
8.4/10
Overall
5
8.1/10
Overall
6
agency
7.9/10
Overall
7
agency
7.4/10
Overall
8
freelance_platform
7.3/10
Overall
9
specialist
6.8/10
Overall
10
6.6/10
Overall
#1

Gengo

agency

Crowd-assisted translation delivery with managed project workflows, translator matching, quality review, and localization execution for multilingual content sets.

9.0/10
Overall
Features9.0/10
Ease of Use9.0/10
Value9.0/10
Standout feature

Gengo API job provisioning with language-pair routing and metadata for automation across translation queues.

Gengo delivers human text translation through a workflow that routes jobs by language pair and content type. It supports an automation surface via an API and structured job inputs that map to a clear data model for sources, targets, and metadata.

Admin tooling includes governance primitives like team management and translation job visibility for controlled throughput. Reporting and operational visibility help teams manage execution, quality feedback, and change handling across ongoing translation streams.

Pros
  • +API-driven job submission with structured inputs for repeatable translation workflows
  • +Clear job data model for source, target languages, and metadata fields
  • +Team and job visibility supports governance for multi-user translation operations
  • +Operational reporting helps track delivery performance and translation status
Cons
  • –Workflow orchestration depends on API integration work for scale
  • –Limited schema customization compared with systems that offer deeper domain modeling
  • –Approval and review steps add coordination overhead for tight SLAs
  • –Automation is centered on job management rather than advanced translation memory tooling
Use scenarios
  • SMB and mid-market operations teams

    Repeat office document translation workflows

    Translated documents with less coordination

  • Localization and content operations teams

    Backfill capacity during release spikes

    Additional translation capacity

Show 2 more scenarios
  • Authors, researchers, publishers

    Manuscript and academic content translation

    Human-translated research material

    Document-oriented requests support human translation for research material and manuscript sections.

  • Customer support and documentation teams

    Translate help center knowledge base articles

    Multilingual support content

    Support teams translate structured content for regional users with human-reviewed outputs.

Best for: Fits when teams need governed, human translations with an API-first integration surface for ongoing content pipelines.

#2

RWS

enterprise_vendor

Enterprise language services covering translation and localization, terminology management, controlled language, and governance workflows for multi-language content at scale.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Terminology and language asset reuse wired into translation delivery workflows with configurable governance steps.

RWS fits teams that need language delivery tied to a defined data model for terminology, glossaries, and reusable translation assets. Integration depth is strongest when localization operations already use structured content and require consistent terminology application across many documents or locales. Automation and API surface matter most for teams orchestrating throughput via systems that provision jobs, route requests, and pull results back into internal tools. Governance controls are also a fit signal when RBAC, review steps, and traceable activity reduce operational risk.

A tradeoff appears when workflows are not modeled around translation assets and repeatable schemas, since automation yields less benefit than manual request handling. RWS tends to work best when language work is part of a broader content pipeline that needs configuration-driven consistency and predictable delivery across teams. Teams with high volume content and cross-functional approvers benefit from defined review stages and data-driven term enforcement.

RWS can be a stronger choice than purely project-based services when language operations require extensibility for custom validation, routing, and translation QA checks through integration points.

Pros
  • +Translation workflows tied to terminology and reusable language assets
  • +API and automation support job provisioning and result retrieval
  • +Governance features for access control and review stages
  • +Extensibility for integrating localization with content pipelines
Cons
  • –Less efficient when content lacks structured schemas and term assets
  • –Automation value depends on strong upstream orchestration and data hygiene
Use scenarios
  • Global product content teams

    Scale multilingual releases with controlled terminology

    More consistent product wording

  • Localization operations leaders

    Automate job routing and approvals

    Lower manual coordination cost

Show 2 more scenarios
  • Regulated documentation groups

    Maintain auditable translation decisions

    Better compliance traceability

    RBAC governance and audit logging support traceability across translators, reviewers, and versions.

  • Enterprise engineering teams

    Integrate translation into content pipelines

    Faster localization cycles

    Automation hooks let teams plug translation delivery into existing CI or content publishing workflows.

Best for: Fits when enterprises need controlled localization with API-driven orchestration and terminology governance.

#3

TransPerfect

enterprise_vendor

Translation and localization services with project governance, multi-lingual editing and QA, and operational controls for large-scale language workflows.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Governance-focused operations with RBAC-style access control and audit log practices for translation job administration.

In the managed text translation market ranked among top providers, TransPerfect is positioned for teams that need integration depth plus controlled operations. It supports multilingual translation workflows that connect to content pipelines through API and managed services, with governance features aimed at large organizations.

Strengths concentrate on automation and data handling, including schema-aligned job handling and workflow configuration for repeatable outputs. Admin controls and audit-oriented practices help maintain consistency across projects and business units.

Pros
  • +API and managed workflow support translation jobs from external systems.
  • +Data model alignment helps keep terminology and style consistent across projects.
  • +RBAC-style access control supports role separation across teams.
  • +Configuration options support repeatable workflows with fewer manual handoffs.
Cons
  • –API integration requires upfront mapping of job metadata and schemas.
  • –Automation coverage depends on workflow design and document types.
  • –Advanced governance may add operational overhead for smaller teams.
  • –Extensibility requires engineering effort to match custom pipelines.
Use scenarios
  • Industrial quality and compliance teams

    Audit-sensitive document translation with review control

    Traceable multilingual documentation

  • Procurement and bid management teams

    Translate tenders and bid specifications

    Coherent multilingual bid packages

Show 2 more scenarios
  • Organizations managing multiple document languages

    Translate institutional and business documents

    Reviewed target-language documents

    Teams submit business, institutional, and academic documents to managed linguistic review for target-language readiness.

  • Entertainment localization producers

    Subtitle and dubbing adaptation with linguistic review

    Localized content for audiences

    Media teams adapt screenplay and entertainment text through subtitle translation and linguistic review steps.

Best for: Fits when enterprise teams need governed translation operations with API-driven automation and structured job metadata.

#4

Lionbridge

enterprise_vendor

Managed translation and localization services with project controls, quality processes, and supply-chain delivery for multilingual language culture workflows.

8.4/10
Overall
Features8.4/10
Ease of Use8.5/10
Value8.3/10
Standout feature

Governed translation workflows with RBAC and audit-log traceability designed for enterprise language operations.

Lionbridge delivers text translation through managed processes that fit organizations running language programs across multiple business units. The integration depth is oriented toward connecting content pipelines to a defined workflow schema for translation, review, and approval stages. Automation and API surface are central for provisioning work items, syncing status, and standardizing handoffs across systems.

Pros
  • +Workflow schema supports source-to-translation-to-approval traceability
  • +Automation and API surface supports status sync and work provisioning
  • +Governance features align with RBAC and audit-log requirements
  • +Localization programs handle multi-language, multi-team delivery control
Cons
  • –Governance requirements can add setup complexity
  • –Deep process configuration can require ongoing admin attention
Use scenarios
  • Localization program managers

    Multi-team workflow provisioning and approvals

    Fewer handoff errors

  • Customer experience teams

    Multilingual support content releases

    Faster time-to-publish

Show 2 more scenarios
  • Global marketing operations

    Regulated campaign localization workflows

    Stronger compliance traceability

    Enforces approvals and audit trails tied to each translation and revision step.

  • Enterprise IT integration teams

    API-driven translation pipeline integration

    Reduced manual coordination

    Connects translation tasks to existing systems through extensible workflow and data mapping.

Best for: Fits when enterprises need controlled translation throughput, RBAC governance, and pipeline integration.

#5

Keywords Studios Language Services

enterprise_vendor

Language services for localization of games and content, with translation, editing, QA, terminology, style guides, and project operations geared to large translation volumes.

8.1/10
Overall
Features8.1/10
Ease of Use8.1/10
Value8.1/10
Standout feature

Managed translation workflow with language QA review coverage and traceable acceptance decisions.

Keywords Studios Language Services is a fit when translation throughput, QA consistency, and governance matter across many languages and content types. Its delivery model relies on structured localization handling that supports controlled revision loops and documented acceptance decisions. Admin and governance controls are geared toward managing work assignments, ensuring review coverage, and maintaining traceability for language quality checks. Integration depth is strongest when translation projects can be modeled as repeatable tasks with clear source, target, and QA outcomes.

Pros
  • +Project execution supports repeatable translation and review loops
  • +Language QA workflows support consistent acceptance decisions
  • +Governance-friendly handling of translation tasks and review coverage
Cons
  • –API surface and automation depth depend on integration design scope
  • –Data model mapping work is required for nonstandard content inputs
Use scenarios
  • Localization program managers

    Multi-language release localization with QA gates

    Fewer quality regressions in releases

  • Engineering documentation teams

    Documentation updates mapped to workflows

    Faster multilingual docs publishing

Show 2 more scenarios
  • Content operations teams

    Ongoing content localization at throughput

    Predictable turnaround for updates

    Runs repeatable translation and review cycles for steady publishing schedules.

  • Compliance-focused governance teams

    Audit-friendly translation execution records

    Improved audit readiness

    Maintains traceability for source, target, and QA decisions across language tasks.

Best for: Fits when teams need managed localization with review coverage and audit-ready governance controls.

#6

Tomedes

agency

Managed translation services with linguist matching, review stages, and workflow administration for multilingual text outputs.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Human-reviewed translation workflow paired with job status tracking for controlled output handoffs.

Tomedes fits teams that need translation delivery with integration and workflow control, not just manual assignment. It supports document and text translation workflows with project management, human review, and turnaround tracking.

Pros
  • +Project-level workflow with human translation and review steps
  • +Document and text translation handling supports mixed content types
  • +Operational tracking for job status and delivery checkpoints
  • +Works well when requests map cleanly to a job and output schema
Cons
  • –API and automation surface details are less transparent than other vendors
  • –Deep schema design support for custom metadata can feel limited
  • –RBAC granularity and audit log capabilities are not clearly specified
Use scenarios
  • Business and operations teams

    Localize policy and operational document text

    Localized documents for use

  • Organizations handling formal filings

    Certified workflow for official documents

    Prepared certified translated documents

Show 2 more scenarios
  • Marketing teams and agencies

    Multilingual campaign text localization

    More consistent multilingual messaging

    Marketing teams adapt headlines, calls to action, and metadata while keeping brand terminology consistent.

  • HR and people operations teams

    Translate employment and onboarding documents

    Multilingual HR documentation

    HR teams translate handbooks, policies, contracts, and benefits text with consistent employment terminology.

Best for: Fits when teams need managed text translation delivery with workflow tracking and integration planning.

#7

Alconost

agency

Localization and translation services with linguistic QA steps and workflow controls for multilingual text and UI style consistency.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Glossary and style configuration tied to project execution for terminology consistency across repeated translation tasks.

Alconost delivers text translation services with language pair workflows for marketing, product content, and operational documentation. The service emphasizes integration depth through structured project handling that maps source files, terms, and delivery formats into a controlled translation data model.

Pros
  • +API-oriented workflow fits localization pipelines with status tracking
  • +Configurable glossary reduces terminology drift across large content sets
  • +Structured delivery artifacts support downstream publishing automation
  • +Managed review paths help maintain tone consistency at scale
Cons
  • –Translation throughput depends on project batching and source structure
  • –API automation coverage can be constrained by localization workflow complexity
  • –Admin governance relies on setup accuracy across glossary and style settings
Use scenarios
  • Localization managers at mid-market firms

    Standardize marketing translations across multiple locales

    Fewer edits per release

  • Product content teams

    Translate UI copy from structured files

    Faster content readiness

Show 2 more scenarios
  • Engineering documentation owners

    Localize operational manuals and runbooks

    More reliable documentation updates

    Use workflow status tracking to coordinate translations and maintain audit-friendly delivery records.

  • Developers building translation pipelines

    Automate submissions via translation API

    Reduced manual localization work

    Integrate API submission and monitoring into existing localization systems and translation project lifecycle steps.

Best for: Fits when teams need managed translation workflow plus integration hooks for localization operations and governance.

#8

Verbling

freelance_platform

Language lesson and translation support delivered by vetted language tutors through managed scheduling and guided learning workflows.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Tutor-led text translation sessions with structured lesson workflows and iterative revision feedback.

In the text translation services tier, Verbling is distinct for matching translation workflow to named tutors and documented lesson structures. Verbling supports text translation through structured sessions where learners and tutors collaborate on written content.

Pros
  • +Tutor-led translation sessions with revision cycles for higher text quality control
  • +Clear lesson structure helps standardize how written work is reviewed
  • +Language pair selection maps to guided human feedback rather than raw output
Cons
  • –Limited translation automation and no translation-first API surface for programmatic throughput
  • –Weak admin and governance controls compared with enterprise localization platforms
  • –Audit and RBAC depth is not geared for large multi-team translation operations
Use scenarios
  • Language learners

    Translate homework with tutor feedback

    Fewer errors, clearer phrasing

  • Students preparing exams

    Practice writing translations under guidance

    Improved accuracy on tests

Show 2 more scenarios
  • Professionals needing documents

    Review business text translation drafts

    More usable translated documents

    Tutor collaboration supports human review cycles for terminology consistency and style alignment.

  • Teams standardizing terminology

    Align translations across repeated content

    Stronger terminology consistency

    Revision notes and session planning support consistent translation approaches over time.

Best for: Fits when teams need tutor reviewed text translation with repeatable session plans and human revision notes.

#9

TextMaster

specialist

Managed translation services with structured project workflows, linguist selection, and quality review designed for repeated text translation requests.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

API access for translation requests and automated project provisioning by language pair.

TextMaster targets production-grade translation workflows with a documented order flow for source content, language pairs, and delivery formats. The service focuses on translation throughput and consistent output handling through repeatable project configuration.

Pros
  • +API-first integration for translation ordering and language routing
  • +File-based submission supports batch throughput and predictable delivery
  • +Project configuration supports repeatable runs across language pairs
  • +Workflow controls map to human review stages for quality gating
Cons
  • –API surface is less suited to fine-grained terminology schema control
  • –Admin governance controls are more workflow-based than policy-based
  • –Automation depends on external orchestration for approval routing
Use scenarios
  • Publishers and authors

    Translate narrative manuscripts with style guidance

    Narrative translations with continuity

  • Operations and international content teams

    Run recurring localized document batches

    Reduced terminology drift

Show 2 more scenarios
  • Food and beverage regulatory teams

    Translate label text for multiple markets

    More consistent multilingual label text

    Teams translate ingredient lists, allergens, nutrition info, and claims into target-market languages.

  • Media and video content teams

    Subtitle translation for timing-friendly readability

    Reviewed translated subtitles

    Media teams translate subtitles with review focused on readable phrasing for media workflows.

Best for: Fits when teams need API-driven translation ordering plus batch file delivery.

#10

One Hour Translation

agency

Translation services with document intake, translation and proofreading workflows, and quality controls for multilingual business and cultural text outputs.

6.6/10
Overall
Features6.6/10
Ease of Use6.7/10
Value6.5/10
Standout feature

API-driven translation requests with workflow status tracking for automation and production monitoring.

One Hour Translation is built around rapid turnaround workflows for text translation and publication-ready outputs. Its distinct value is operational control over how source content maps into target text through configurable handling rules.

Pros
  • +Automation-friendly API for translation request submission and status polling
  • +Configurable handling rules for consistent formatting and output requirements
  • +Translation workflow fits localization pipelines with clear request boundaries
  • +Governance support for controlled use across teams and projects
Cons
  • –Automation depth varies by workflow type and may require custom setup
  • –Schema and data model options can constrain edge-case content mappings
  • –Admin controls may require integration work to match internal RBAC models
Use scenarios
  • Localization operations teams

    Rapid translation for publication-ready outputs

    Faster publication-ready translations

  • Content teams with pipeline automation

    Automate text translation requests via API

    Automated translation throughput

Show 2 more scenarios
  • Controlled production stakeholders

    Audit-friendly translation with governance controls

    Audit-friendly translation records

    Teams use admin governance and data controls to support controlled execution and auditability.

  • Agencies managing text batches

    Consistent translation across varied clients

    Consistent target-language text

    Agencies enforce configurable mapping rules to keep target-language outputs consistent across batches.

Best for: Fits when teams need controlled, API-driven text translation throughput with governance and auditability.

Conclusion

After evaluating 10 text translation, Gengo stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Gengo

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Text Translation Services

Which providers support API-driven orchestration for translation jobs and workflow automation?
RWS and TransPerfect support API and workflow hooks tied to controlled translation jobs and structured delivery metadata. TextMaster and One Hour Translation also expose API access for translation requests and automated project or status-driven delivery workflows.
How do language data governance features differ across enterprise translation providers?
RWS links translation delivery to terminology and language assets, with configurable review stages. Lionbridge and TransPerfect emphasize audit-log traceability and role controls across translation jobs rather than only terminology reuse.
What service fits teams that need RBAC-style admin controls and audit logging for translation operations?
Lionbridge is built around governed workflows that include RBAC and audit-log traceability tied to job execution. TransPerfect also centers admin control and audit-oriented practices for translation job administration across business units.
Which providers map translation work into a controlled data model for repeatable pipelines?
Lionbridge maps source assets, target languages, reviewers, and quality gates into a data model for repeatable throughput. Alconost structures project handling around terms, delivery formats, and a controlled translation data model, which helps keep outputs consistent across content types.
What onboarding model works best for teams that need migration from file-based workflows to API or managed operations?
Keywords Studios Language Services supports operational provisioning patterns that map translation work into an auditable execution flow, which fits migration from ad hoc file turnover. Gengo provides structured job inputs and API job provisioning that can replace manual routing by pairing language-pair inputs with metadata.
Which providers support extensibility through configuration and workflow control rather than only file submission turnaround?
Keywords Studios Language Services focuses on workflow control and traceable acceptance decisions through automation and extensibility via managed processes. RWS and TransPerfect add extensibility through API-driven governance steps and configuration across translation stages.
What delivery model best matches teams that require human review cycles and revision notes instead of translation API automation?
Verbling delivers text translation through tutor-led sessions with structured plans and documented revision notes. That model shifts automation to scheduling and session management rather than a translation-ready API surface.
How do teams decide between managed localization workflows with QA coverage versus language-pair routed job queues?
Keywords Studios Language Services includes language QA review coverage and traceable acceptance decisions within managed localization workflows. Gengo routes jobs by language pair and content type and uses human translation workflows with API-first job provisioning for controlled queue execution.
What common failure mode should teams plan for when integrating translation services into production pipelines?
Integrations fail when job status, reviewer stages, or output metadata cannot be represented in the internal data model, which Lionbridge and TransPerfect address with audit and governed pipeline structures. TextMaster and One Hour Translation reduce manual handoffs by connecting translation requests to repeatable project configuration or workflow status tracking.
Which provider fits teams that need traceable end-to-end status tracking for translation requests and handoff control?
One Hour Translation provides API-driven translation requests with workflow status tracking that supports production monitoring and controlled publication handoffs. Tomedes also pairs human-reviewed translation workflows with job status tracking that can be mapped into an internal operational data model.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Text Translation

What separates options is how they handle text translation quality in your real workflow—especially when you need correct meaning, not just readable output. Look closely at “Terminology control” and “File format support” to avoid surprises when you paste or upload content.

Terminology control

Why it matters

Terminology control matters when your text includes product names, legal terms, or repeating phrases that must stay consistent across translations. Without it, the same term can drift between outputs, creating downstream confusion.

How to check

Run the same short paragraph twice with a key term you care about, then change nothing else. Ask whether you can lock a preferred term and see if the output keeps using it.

Context and long-text handling

Why it matters

Context and long-text handling matters because many translation errors show up when the tool can’t hold meaning across sentences or formatting breaks. This is often where “best effort” systems fail.

How to check

Translate a multi-sentence message with pronouns and references (e.g., “it/they/this”) and include line breaks or paragraphs. Check whether the tool preserves reference consistency and doesn’t swap meaning mid-text.

File format support

Why it matters

File format support matters because most users translate more than a single paste box, and formatting changes can corrupt meaning or layout. If the tool mishandles common formats, you’ll spend time fixing it.

How to check

Upload a sample document you actually use (for example, a DOCX or spreadsheet). Verify that the translated output keeps structure, headings, and table cells where they belong.

Review and revision workflow

Why it matters

A review and revision workflow matters when translation output needs approval, edits, or tracked changes before you publish. Without it, you lose visibility into what changed and why.

How to check

Do one translation, then manually edit a sentence and re-run translation for the rest (or ask about how updates behave). Check whether the tool preserves your edits and shows what was changed.

Traceability of translation sources

Why it matters

Traceability of translation sources matters when you need to explain or audit why a phrase appears in a final translation. It also helps when you spot an error and want to correct the right segment.

How to check

Translate content that includes a couple of tricky phrases. In the output view, check whether each source segment maps clearly to its translated segment and whether you can locate the exact segment to revise.

Language pair coverage

Why it matters

Language pair coverage matters because “text translation” options often support uneven directions or niche dialects. Gaps can force you into manual work or inconsistent outputs.

How to check

In the demo, request the exact language pair(s) you need and include at least one real-world example per pair. Confirm the tool can process the same input types and produce output in the right direction.

Red flags

  • Same term translates differently when you repeat the text
  • Long paragraphs shift meaning after a few sentences
  • Uploaded files lose structure or scramble table/section content

Fit by situation

  • If you repeatedly translate the same domain terms, prioritize Terminology control.
  • If your content is multi-paragraph with references, prioritize Context and long-text handling.
  • If you translate real documents instead of paste-only text, prioritize File format support.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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