Jan 10, 2023
6 min read
India has one of the fastest-growing economies. As India progresses in fields like education, tourism, religion, trade, business, science, and technology, etc. the need for translation has diversified. India has more than hundred languages and dialects of which 22 are designated as official languages in the constitution. More than 850 million people worldwide speak the following Indian languages: Hindi, Bengali, Telugu, Marathi, Tamil and Urdu. With the availability of e-content and development of language technology, it has become possible to overcome the language barrier. In order for your audience to connect, it’s essential to cater to them in their native language.
Language translation increases the scope of reaching more and more people. For example, if you are providing your services in Mumbai, you will be able to make an impact in Marathi. Similarly, for the people living in Gujarat, you would reach and attract more audiences in Gujarati.
Machine translation is one of the most important tools for language professionals and the technology can drastically reduce the time and costs involved in any given translation project.
What is Machine Translation?
Machine translation refers to a variety of computational translation systems capable of converting text or speech into other languages. Google Translate is perhaps the most well-known application of machine translation, built using the latest advances in artificial intelligence.
In practice, machine translation allows you to enter text, a document or speak into some kind of microphone as the input source. This input is then automatically translated into the target languages and outputted in the desired format – most commonly text or the original document type.
The latest machine translation systems use a variety of artificial intelligence technologies, including machine learning and neural networks, to constantly improve their output. For example, Machine Translation system by Reverie analyses millions of translations across languages to learn from, whilst also analysing its own results to learn from its mistakes.
The technology powering these tools is immense and their capabilities will only improve further in the future, but this doesn’t mean we are on the verge of perfect AI translation.
There are four different types of machine translation from a technological standpoint (Natural Language Processing): statistical machine translation, rule-based machine translation, hybrid machine translation, and neural machine translation.
AI Powered Translation for Indian Languages
The complexity and diversity of Indian languages present many interesting computational challenges in building automatic translation systems.
Various tools have been developed based on the various Machine Translation technologies as mentioned above for Indian language translation. For eg. Google Translate, Sampark: The Indian Language MT System, Reverie’s NMT API to name a few.
The structural difference between the source and target language makes Machine translation difficult. The structural differences between English and Indian languages are substantial. The Indian languages differ structurally from one to another. Hence Artificial Intelligence backed self learning systems are necessary for Machine Translation involving Indian languages
Machine translation for Indian Languages can be seen as an integral part of the global business environment. It can be seen as a virtual assistance to them. Automated translation solutions are gradually becoming more reachable and trustworthy for both small and large businesses. Machine translation has opened up previously unexplored markets by allowing companies to expand their operations to regions, languages, and cultures that they may never have considered before.
Because of its high quality and fluency, everyone in the translation industry, including freelance linguists or agencies benefit from automatic Machine Translation. As a result, translators have been able to take on bigger amounts of work and be more productive as well. Machine translation as a service is now widely available and accessible. The translation is performed by a machine and then rechecked and validated by translators, which adds to the accuracy of the translation process regardless of the type of the document. This service is most popular with those who need to translate content on the internet or in-house documents.
Advantages of Machine Translation for Translation professionals
Discussions about the pros and cons of machine translation suggest the technology is competing against human translators. This isn’t helped by the common media narrative of translation technology one day replacing humans – something we still don’t know is even possible, let alone achievable in the near future.
For now, the reality of machine translation isn’t replacing humans but acting as a tool to enhance the performance of professional translators.
- Scalable: Machine translation helps to get instant translation of the provided text, has the ability to handle vast amounts of content very quickly and enables the same system to translate content into multiple Indian languages. The NMT tools are generally simple to use for both professionals and common man.
- Fast and Cost Effective: If we look at the strengths of machine translation, the technology can help professionals achieve more in a shorter space of time – in other words, help clients go-to-market faster at a cost-effective rate than previously possible.
When it comes to the disadvantages, this is where the human translators step in to review the output and bring it up to the required quality. Even if the technology manages to translate a part of a project to sufficient accuracy, that’s still a sizable reduction in the workload, time and expense of the project – and, in many cases, machine translation can do better.
Reverie’s NMT is powered by Artificial Intelligence and helps the professional work more efficiently. It supports translation from 22 official languages of India to English and vice versa.
Reverie also has a Translators’ market place called Prabandhak which enables translators, agencies to take up translation projects assisted by Machine Translation.
Advantages of Machine Translation for Enterprises
With growing internet penetration in India the demand for digital content in local language is increasing amongst enterprises in order to reach out to the audiences better. But production of original content in different languages is a cumbersome task.
For example, It is really a cumbersome task to maintain Websites for all 22 official languages by an enterprise in order to cater to the audience in their native language.
So Machine Translation for Indian Langugages enables the enterprises to maintain a single website that is rendered automatically in the language of preference of the audience.
Reverie’s Anuvadak has enabled many enterprises like Titan Eye+, Bajaj Allianz, MPL.live and many more to cater to local audiences in their native language by maintaining a single website.
Also Read: How automation can aid Indian translators achieve the National Language Translation Mission
Works done at Reverie with respect to Machine Translation
Reverie has developed an in-house API called the NMT API which can be used to get machine translation from English to 22 Official Indian languages and vice versa.
Reverie’s Anuvadak tool helps online businesses to cater to the audiences in their mother tongue only by maintaining a single website.
Are you a translator or an agency who wants to take up translation projects? Then Reverie brings to you Prabandhak: Tailored to meet all your translation needs, Prabandhak is designed to serve translators, LSPs, and enterprises. Here, you get to allocate tasks, automate, and manage multilingual projects and teams at a large scale on a single intuitive platform.
Want to know more about Reverie’s NMT API: Click Here
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