Hello from Bering Lab! If we were to pick the hottest keywords in the translation industry today, they would undoubtedly be “MTPE” and “Post Editing.” Have you heard of these terms?
MTPE refers to the process where professional translators review and refine AI-generated translations. In simpler terms, it’s the step where experts polish the rough drafts created by AI. With the widespread use of AI in translation, MTPE has become a crucial process.
Post Editing, on the other hand, is the step of reviewing and editing translations. It has always been an essential part of the traditional translation workflow, but with AI translations becoming more common, its significance has grown even further. Post Editing ensures not only accuracy but also smoothness and consistency in the final translated text.
Though MTPE and general Post Editing might seem similar, there are subtle differences. MTPE focuses on AI-generated translations, often achieving greater consistency in technical terminology or repetitive phrases. General Post Editing, which involves reviewing human translations, may produce a more natural writing style. Regardless, both methods aim to deliver high-quality translations. Let’s dive deeper into MTPE and Post Editing to understand their importance.
✍🏻 What Exactly is MTPE?
MTPE, or Machine Translation Post Editing, is the process of reviewing and refining AI-generated translations. It’s a way for experts to enhance the nuances and context that AI might miss, resulting in more natural and accurate translations.
The concept of MTPE dates back to the origins of machine translation in the 1950s. While early translations were rule-based and rudimentary, today’s AI-powered neural machine translations (NMT) have made significant leaps in quality. Technologies like ChatGPT have dramatically improved machine translation, but the need for human intervention remains vital for precision.
The key difference between traditional translation and MTPE lies in workflow. In traditional workflows, translators handle the entire process. With MTPE, AI performs the initial translation, followed by human experts who review and refine the content. This approach allows for faster processing of large volumes of text and cost efficiency.
✍🏻 Post Editing: Its Process and Impact
Post Editing involves a structured process of reviewing and improving translated text. Translators compare the translation with the original text, checking for terminology accuracy, sentence fluidity, and contextual consistency. Particularly in specialized fields like legal translation, ensuring the precision of technical terms and idiomatic expressions is essential.
During Post Editing, common errors often surface. For example, AI can misinterpret contextual nuances or translate legal terminology into everyday language, leading to inaccuracies. Another frequent issue is inconsistency—using varying terms for the same concept across a document. These challenges can be addressed through meticulous review by professional translators.
Tips for Effective Post Editing:
- Leverage CAT tools or quality assurance software to check for consistency and typos efficiently.rder), and TER (counting edits needed to align with reference translations) are often used alongside BLEU.
- Always work alongside the source text to ensure the translation remains true to the original meaning.
- Use specialized glossaries and references, especially in fields like legal translation, where accuracy is critical.
✍🏻 Essential Tools for MTPE and Post Editing
Did you know there are powerful tools that can make Post Editing more efficient? Translation Memory (TM) and glossaries are indispensable for modern translators.
Translation Memory (TM) stores previously translated sentences in a database, acting as a digital memory bank for translators. It automatically suggests matches for similar phrases in future projects. This is particularly useful for repetitive documents, such as legal contracts, where consistency is key. The more translations stored in the memory, the stronger its effectiveness becomes over time.
Combining TM with MTPE creates a synergistic workflow. AI generates an initial translation, TM provides similar matches for reference, and Post Editing ensures accuracy and consistency. This not only speeds up the process but also significantly enhances overall quality.
Glossary management is equally important, as it organizes technical terms specific to certain fields. For example, deciding whether to translate “손해배상” as “compensation for damages” or “indemnification” in legal contexts avoids confusion and ensures consistent terminology throughout the document.
The Future of Legal Translation with MTPE and Post Editing
MTPE and Post Editing are becoming increasingly important as AI technology evolves. In the legal field, where precision and consistency are paramount, the combination of AI efficiency and human expertise in MTPE is invaluable.
📑 BeringAI leads the way in legal translation technology. With advanced translation memory and glossaries developed during its extensive research, BeringAI delivers translations that are 2-6 times more accurate than standard tools. Its document-specific engines ensure precise translations tailored to various fields while preserving original formatting to minimize post-editing work.
🧑⚖️ BeringAI+ takes this a step further by combining MTPE with expert reviews. This results in translations that are not only accurate but also capture the subtle nuances of legal documents—a comprehensive solution for complex legal needs.
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Visit our website or request a quote to learn more. Let BeringAI be your trusted partner in global expansion.
