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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.

 Is AI Translation Really Changing the Industry?

How-Artificial-Intelligence-Works-When-Translating-Language

It’s clear that businesses, today, have to make the most of technology to stay in the race. Thanks to Globalisation, translation is one area that’s recently been given the AI treatment.

Read more>

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 of E-Commerce AI 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.

   

 How Artificial Intelligence Works When Translating a Language

   

How Artificial Intelligence Works When Translating a Language 

Artificial Intelligence, Machine Learning, and other such technology have allowed businesses to gain a competitive edge in a crowded marketplace. How do they aid in translation?

Read more >

   

  

How Artificial Intelligence Works When Translating a Language

It’s clear that businesses, today, have to make the most of technology to stay in the race. Artificial Intelligence, Machine Learning, and other such technology allow businesses to gain a competitive edge in a crowded marketplace. Thanks to globalisation, translation is one area that’s recently been given the AI treatment.

So, how does AI actually aid translation? Well, that’s what we are here to find out.

 

It’s Called Machine Translation

 

AI-aided translation is called machine translation. What it does is that it converts text from the source language to text in the output language. There exist a range of machine translation programs that businesses can use for their translation needs.

However, the two most common happen to be SMT-based i.e. Statistical Machine Translation and RBMT-based i.e. Rule-Based Machine Translation.

The latter operates on the idea that language is all about syntactic and grammatical rules. So, in order to work, these programs refer to bilingual dictionaries for the specified languages. These dictionaries are composed of linguistic rules that apply to the sentence structures in each of the specified languages. Then, there are rules to help the program link the sentence structures of each language.

However, the process is time-consuming as new requirements have to be met each time a new language is paired with the source language. Even so, RMBT is effective when it comes to pairing languages with very different word orders, such as English to Chinese.

On the other hand, SMT works on the concept of probabilities. Google Translator is an example of this. What the tool does it refers to a set of target segments and chooses the most probable segments as a match to the source segment. To put it simply, Google Translator translates by looking at the highest statistical probability.

SMT works better than RMBT because it can accommodate a wide-range of languages. It does not depend on an extensive list of resources to get the job done.

So, that’s how AI-translation works.

 

The Future of AI Translation

 

Machine translation will definitely evolve as time goes by. However, human translation is still very relevant as context plays a major role in effective translation. This is completely dependent on human involvement.

For instance, colloquialism is something that machines still cannot figure out. So, machine translation is still primarily a tool aimed at simplifying the process, rather than taking it over.