In the world of translation, quality is everything. At LangSouls, we’ve always been committed to delivering top-notch translations that resonate with the intended audience while staying true to the original material. To elevate our quality control (QC) process, we’ve embraced artificial intelligence (AI) as an essential part of our workflow. Here’s how AI is helping us ensure the highest standards of quality while addressing the unique challenges of translation.
Identifying Discrepancies in Translated Texts
One of AI’s most powerful capabilities is its ability to analyze translated content for deviations from the original text. This is especially critical for technical or legal documents where precision is paramount. By comparing the translation with the source material, AI tools can flag instances where the meaning, tone, or context might have strayed. This ensures that nothing is lost in translation, whether it’s a nuanced expression or a technical detail.
Tailoring Content to Regional and Cultural Contexts
While AI excels at maintaining fidelity to the source text, it also helps us recognize when a literal translation might not effectively communicate the intended message—a common challenge in marketing translations. For example, a slogan or tagline that works well in one culture might fall flat or even cause offense in another. AI tools equipped with cultural databases and linguistic nuances can flag such cases, allowing our human translators to adjust the content to better align with the target audience’s preferences and cultural expectations.
Subject Matter and Audience-Specific Checks
Our integration of AI into the workflow is strategic and purposeful. Before the QC process begins, we configure our AI tools to analyze translations according to the subject matter and intended audience. For example, a medical translation intended for healthcare professionals will be reviewed with a focus on industry-specific terminology and clinical accuracy. Conversely, a lifestyle blog translation for general readers will emphasize accessibility and engagement.
Addressing Potentially Incorrect Industry Jargon
Industry-specific jargon is often a tricky area in translation, as a small error can significantly alter the meaning of a term. AI helps us identify potentially incorrect or inconsistent terminology by cross-referencing the translation with glossaries, termbases, and subject-matter corpora. This added layer of scrutiny ensures that industry jargon is used correctly and consistently, avoiding misunderstandings or inaccuracies.
Enhancing Traditional CAT Tool Workflows
AI doesn’t replace our Computer-Assisted Translation (CAT) tools—it enhances them. While CAT tools are excellent for maintaining consistency and leveraging translation memory, they have limitations when it comes to nuanced QC. AI adds another layer of quality control by identifying subtle issues that may not be evident through CAT tools alone. This dual approach ensures a more comprehensive review process.
Adding an Extra Level of Quality Control
The integration of AI into our workflow provides a level of quality control that was previously unattainable. It acts as a second pair of eyes, tirelessly scanning translations for errors, inconsistencies, and cultural mismatches. By augmenting human expertise with AI’s precision and speed, LangSouls is able to deliver translations that meet the highest standards of accuracy, cultural relevance, and client satisfaction.
AI is transforming the translation industry, and its role in quality control is a game-changer. By identifying discrepancies, tailoring content to specific audiences, and ensuring the correct use of industry jargon, AI enables LangSouls to deliver translations that are not only accurate but also culturally and contextually appropriate. At LangSouls, AI is not just a tool; it’s an integral part of our commitment to excellence.
