Future Developments in Translation

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There are many exciting and disruptive developments taking place in the world of translation. Among them are Machine translation, Voice-to-text technologies, Machine translation post-editing (MTPE), Neural speech translation, and the rapid growth of the Internet. Here we will take a look at what these innovations mean for translation professionals. It will also help you prepare for the future of translation and understand its potential in your own industry. Further, you’ll learn about how machine translation can help you and your business.

Machine translation

The world is facing a rippling change in economics. Existing economic structures and systems will be shattered, and new behaviors of collaboration and sharing will emerge. The need for human tasks will diminish, while progressing technology will improve the quality of translations. The new economic model will also replace terms such as linguistic quality, translation memories, and word rates, focusing instead on data and infrastructure. In short, it will change the way we think about translation.

Voice-to-text technologies

Speech-to-text applications are already in use in many areas, such as smart speakers and digital personal assistants. With the help of AI-powered speech recognition, these applications can translate dictated words into text. In order to type using voice, users simply need to have a microphone option on their device. The speech-to-text applications can even save the transcription for later use. However, voice-to-text software does not always recognize every word that users say, which makes it essential to have domain-specific vocabulary.

Machine translation post-editing (MTPE)

MTPE is a service wherein machine translation is altered to produce a final document of the same quality as a human-produced version. Post-editing includes checking for grammatical and stylistic errors, tone correction, and cultural adaptation. It allows a translation to be produced faster, while maintaining high-quality standards. However, full post-editing can take a longer time than MTPE, but it will ensure a quality product.

Neural speech translation

A new advancement in machine translation is neural machine translation, which exploits advances in deep learning to improve speech recognition systems and translate partial sentences in low-latency speech translation. Although it has previously only seen complete sentences during training, neural machine translation can now translate partial sentences as well. This could make neural machine translation an ideal tool for speech recognition. However, it must be emphasized that a neural network cannot yet translate sentences from multiple languages.

Cloud-based TMS solutions

When used correctly, cloud-based Translation Management Systems (TMS) help you scale your business. The system supports collaboration between editors, translators in India, and collaborators across different languages. It also provides real-time updates to all project stakeholders, boosting project efficiency and quality. With the cloud-based TMS, you can add more translators to your team and collaborate on projects in real time. Your client should always be involved in the project, knowing how and when to give them feedback.

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