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AI Translation: Expectations Vs. Reality

AI technology has drastically improved due to scientists enabling computer programs to ‘self-learn’. Hence, a computer can re-program its own code in order to function better at its task at hand. Which begs the question, is AI translation set to become another norm in our lives?

 

What is AI Translation?

 

Rather than using a human translator, an AI translation will automatically translate one language into another. As a result, allowing you to comprehend what someone is saying in another language and hold a conversation with them.

AI technology can read individual words in a number of languages. It finds the similarities between the different languages that exist between words. Thereafter, building a translation!

 

The Advantages of AI Translation

 

When people hear that AI translation tools exist, they tend to expect translation tools used in sci-fi programs. Such as Doctor Who and Star Trek, where you hear people talking in your native tongue. However, this is far from reality!

Instead, the main advantages of AI translator tools in comparison to human translators is that AI is both cheaper and quicker. Here are some of the other advantages of using AI to translate languages:

  • Quality in domain- and language-specific engines is enhanced
  • Incredibly quick, normally only takes a minute or so
  • Ideal for websites
  • AI tools will let you translate a large number of languages, whereas a human may only be able to translate one or two
  • Becoming more accurate

The Disadvantages of AI Translation

 

Although machine translation looks good on paper, there are a number of disadvantages:

  • Accuracy can be low in some industries. (You may not realise this as you may be unfamiliar with the language)
  • Mass localisation is poor, with some languages giving more accurate results than others
  • AI does not recognise the context something is said in, so can produce confusing results
  • A language mistake can be very costly i.e. a tattoo in another language

 

The Reality

 

Many people put a lot of faith into AI translation tools because they see them as a fast and low-cost way to translate a large volume of texts. This is very common in industries such as Finance, E-Commerce, Legal etc.. AI translation may prove to be a powerful tool to achieve massive localisation. However, the accuracy of the different languages is not yet standardised.

 

In Conclusion

 

If you need something translated from another language, you should weigh up the cost of a bad translation against the cost of using a human translator. A bad translation will not only cost your turnaround to be longer but it also costs more money to resolve the mistakes!

If you’re looking to localise an e-commerce website or a large-scale portal, then AI translation is wonderful. In fact, you can leverage on a domain- and language-specific translation machines and human post-editing to translate high volume contents to targeted languages.

This encourages the user to repeatedly visit your website and may even recommend it to friends.

AI Technology: How are E-Commerce Companies Utilising it?

If you want an innovative way to drive sales and increase user experience on your website, you should be utilising artificial intelligence (AI) in your business. Indeed, AI technology is helping companies to take their business to the next level and leaving their competitors in the dust.

 

Improves the Virtual Shopping Experience

 

AI technologies can analyse the pattern of how a person shops online. The AI translation of these patterns provides a more personalised experience for the user. As a result, your website can leave a great impression on the user.

One of the biggest improvements to E-Commerce sites is the addition of chatbots and voice assistants. Depending on the website localisation, these AI tools proves that mass localisations can provide customer service in a number of languages. Hence, this AI Translation allows customers across the globe to receive personalised customer services.

 

Visual Search Engines

 

Another recent development for E-CommerceAI technologies is the visual search engine. Here users can take a photograph of their favourite products and the visual search engine will try to source where that product is sold.

Visual search engines can also be used to reverse-search an image, to help you find a better quality of that image as well as check its copyright status. You can also use an image search to find out information about a certain place or restaurant. You can do this by simply taking a photo and use the search bar to find reviews and booking information.

 

Personal Recommendations (AI)

 

The more you use a website enabled with AI technology, the more personalised your experience becomes. For instance, the website AI can help you find the best products related to your interests. It’s similar to having your own personal shopper but without the added cost!

With the recommendations calculated by your AI, shoppers can find what they’re looking for on a website with minimal fuss and time. Hence, this encourages users to repeatedly visit your website and may even recommend it to friends.

 

Voice Assistance

 

Voice assistance improves user experience, by helping users to type less and increasing the convenience. It allows users to speak to an E-Commerce site, asking them to pre-order something they use frequently. For instance, ordering more nappies via your Amazon Echo.

These AI voice assistants may offer the user a product recommendation they may like to add to their basket. Hence, making it a more personalised and efficient experience.

 

In Conclusion

 

AI technologies are vastly improving the user experience of E-Commerce sites, and it will be exciting to see where this ever-evolving technology takes our online shopping experience in the next few years.

Is AI Translation Really Changing the Industry?

As the business arena becomes more globalised, the need for localisation via translation grows and that growth fuels the need for better and more effective translation technologies (such as AI translation). As they say, necessity is the mother of all inventions. This philosophy stands true even for translation technology.

The growth in translation needs gave birth to machine translation (MT), which overcame much of the challenges posed by traditional translation processes. But new challenges keep cropping up. Fortunately, newer technologies are showing up to save the day.

One such technology is Artificial Intelligence or AI-based translation. AI translation offers distinct advantages compared to the older MT technology. For instance, it can factor in linguistic nuances and context to provide more accurate translations.

 

Already in Play

 

AI-based translation is already at play. You can see it everywhere from Google to Facebook. For instance, if you visit an international website via Google, you’ll have the option of seeing the translated version. There’s almost no human involvement or intervention here. It’s Google’s own automated translation service.

Microsoft is also offering its own real-time translation app, which can translate speech, text, and even images. What’s even more amazing is that this application can run offline, making instant translation a reality.

Even Facebook switched to AI translation as its primary approach in 2017.

One of the key benefits of AI translation is that it factors in context and entire sentences, which boosts accuracy.

 

Neural Machine Translation (NMT)

 

Traditional MT relied upon existing translations or translation memories to get the job done. However, now, we have something called Neural Machine Translation or NMT.  NMT makes use of translation memories as well. But it goes further and uses something called deep learning to boost translation accuracy.

NMT literally builds what is called an artificial neural network, sort of a like a human brain. What does that mean? Well, it means that the system can correct itself by going back, assessing, and correcting its approach or method.

On the contrary, traditional or statistical MT relies on correlation to choose the best possible translation. This method simply does not provide the same level of accuracy.

 

Conclusion

 

AI-based translation has come quite far. However, there are still some challenges to be overcome. For instance, AI translations are still plagued by grammatical inaccuracies. There are also complaints of such translations lacking nuance.

So, human translation still remains a necessity. Though AI translation may be evolving, it is too soon to predict its overall impact on the translation and localisation industry.

 

How Artificial Intelligence Works When Translating a Language

 

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Thanks to globalisation, translation is one area that’s recently been given the Artificial Intelligence treatment. So, how does AI actually aid translation?

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