Languages that initially facilitated human communication, co-operation, and growth of civilized society are becoming a barrier for the world to work together. As e-commerce is becoming globalized and consumers are interested in buying from any trader worldwide, reaching out to customers in local languages has become mandatory for better customer acquisition. Today, translating the website for readers from all over the world is easier because of advancement in technologies. Translation technologies are set to change the way we are teaching and learning languages in our schools. The recent technological developments with assistance of human translators are the major driving factors for the change in this industry.
Innovative Systems for Quality
Recently, many technologies are developed to aid the human translators, and even machine-based translations are successfully attempted. Computer-aided translation (CAT) works with the language assets like translation memory and translation glossary which operated through an integrated workbench and helps in the translation process. With the help of these language assets, translators use previously approved translations reducing their repetitive work and enhance the productivity and consistency of translators.
Translation Management Service (TMS) works towards automation of the translation process to save the cost. It reduces the errors and saves time by implementing the alternative method by replacing manual file transfers.
Content Management System (CMS) is used for website content or any other online media content in social media, apps, etc. These tools have multilingual capabilities, website translation options like localized microsites or parallel sites. They are very effective in the normal business scenario but may need linguistic expertise for specific circumstances and complexity levels of a website.
Machine translation (MT) is the latest technology has made a footprint in all segments. This software can translate the content from one language to other based on the internal algorithms and language, grammar settings already programmed in it. The important business documents that are meant to convey the right meaning across the parties involved. Such demanding consumers prefer professional translators at least for post-editing works. A significantly large content can be processed effectively by combining MT with a human post editor.
Translation Quality Assurance (TQA) is more of a scan-search-find application solution for removing errors and ambiguity in the content that is not in line with the approved glossary. Sentences and segments that are not translated consistently and are out of context can be found with the help of this software. This tool greatly improves the quality of final translated file by human editors and assures the required quality levels in service.
Ground Breaking Translation Technologies
Neural Machine Translation (NMT) is emerging as a modern technology in translation industry with the potential to disrupt the business process and create a post-language economy. NMT exercises its deep learning functions and enables it for human-like contextual translation ability with the proper tone. Pure Neural Machine Translation (PNMT) technology uses a unique approach where instead of translating word by word, it processes full sentences to determine the meaning. One of the products launched using AI technology can scan the words written anywhere by mobile camera and can translate it.
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