AI is often described as a radical break from traditional localization. In reality, much of what we are seeing today mirrors the transformation the industry experienced with Machine Translation over the past few decades. When MT first entered enterprise localization, it was met with the same mix of excitement and uncertainty that surrounds AI today….
The Problem Identified Having delivered on a multiple updates of a regular project, the feedback from the client was staring to form a pattern, particularly on the types of languages issues which were finding their way into the final deliverables. Examples of which included, misplaced tags in the same locations across multiple languages and missing…
The Problem Identified In many localization environments, significant volumes of translated content exist outside structured CAT or TMS workflows. This can include legacy translations, multiple vendor created bilingual text files, or content produced through ad-hoc or emergency processes. While these translations often represent substantial linguistic value, they are frequently: Delivered as separate source and target…
The challenge MadCap Flare is a powerful, XML-based authoring environment widely used for software, technical, and medical documentation. It supports complex structures such as variables, conditions, snippets, cross-references, indexes, and multiple output targets. MadCap provides its own translation tool, MadCap Lingo, and on paper this looks like the obvious choice. In practice, however, many long-running…
Several clients came with large volumes of legacy content built up over many years: Inconsistent XML or JSON structures Partial translations Files no longer compatible with modern TMS setups In some cases, this content was still actively referenced or updated. What I did I reverse-engineered file structures and built tooling to recover and realign legacy…
How LocServe helps clients introduce automation without losing control of quality AI may feel like a sudden disruption in localization, but the industry has been here before. Machine Translation introduced a similar shift over the last few decades — promising speed, raising quality concerns, but only actually being effective when combined with terminology control and…
I was frequently brought in after localization workflows had already started failing: XML files breaking on re-import Inline tags becoming unstable Segments merging or splitting unpredictably QA issues caused by the TMS configuration itself These issues often recurred across languages and releases. What I did Rather than patching individual files, I audited and rebuilt the…
Much of the work I support originates in CMS platforms and feeds into regular localization cycles — weekly, monthly, or per release — often over many years. In several cases, these projects have: Run continuously for 3–5 years Continued in lighter-touch form for up to a decade Required the same workflows to remain stable across…
Replacing Desktop CAT Processes with a Centralized TMS A leading language service provider engaged LocServe to design, install, and implement an enterprise Translation Management System based on GlobalSight, replacing an existing desktop CAT-tool-centric localization process used across multiple clients. The objective was to move from fragmented, file-based workflows to a centralized, automated TMS capable of…
Practical Automation for Real Localization Workflows Localization tooling and automation is about making complex workflows reliable, repeatable, and scalable. My focus is on building automation that supports localization teams in real production environments — not theoretical pipelines or one-off scripts. This service is aimed at organizations where localization has grown beyond manual handling and needs…