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21
Sep

AI Adoption In Translation Industry

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As COVID-19 brings the whole world into a halt, new technologies such as artificial intelligence play a key role in every aspect of the pandemic crisis response. Not only does it help tracking the spread and fighting with the virus, it also unwittingly accelerates the adoption of AI technology in different industries. The translation world is undoubtedly of no exception, with AI translation becoming the mainstream.

New frontier of translation technology

Neutral machine translation (NMT) in the latest approach for statistical machine translation (SMT). SMT’s translation algorithm is complemented with the knowledge of a particular language’s sentence order and terms. It is still sometimes denounced for its numerous errors to be business-worthy even though serving an effective translation tool. NMT does not only use a fraction of the memory required by its predecessor, it also employs both deep learning and representation learning. It is designed to imitate the neurons of a human brain, making connections, learning new information and assessing input as a whole, generating a more precise and quick translation.

Benefits for businesses

There is always a reluctance across the industry to adopt any kind of machine translation, as language service companies concern about the quality of work while translators being anxious about the decrease of work volume. Contrariwise, with its deep learning capability and sophisticated encoder and decoder system, NMT is considered more effective in handling word ordering, syntax and morphology, reducing translation error by up to 60%. To safeguard the quality of work, post editing supported by experienced linguists is always the most powerful backing in order to tackle highly creative content and low-resource languages. NMT is no longer restricted in serving certain businesses when it comes to localization. It is of a great help to all kind of companies, transforming businesses across cultural and language barriers.

Localization service demand surges as the world becomes smaller with technologies and every company strives to reach out to global customers in order to survive in the stiff competition. Time is always the key to success in this fast-paced world. And for small businesses with limited funds and resources, acquiring professional translation services can be expensive. With its instant output ability and high accuracy, it is believed that time-to-market for localized content can be reduced by 25%.

Frequent localization service user may be familiar with the word-count based pricing system for the translation industry, but occasional users may not be used to these parameters. With the design to be user-friendly and highly flexible, most of these NMT portals run on a subscription model, attaining a price that fits into all business sizes. Clients are able to pay for their required services only, from real-time translation, on-demand translation, NMT to post editing service, providing higher degree of flexibility and autonomy, comparing to traditional localization service. 

With the advancement of technology and a solid supporting system, thanks to numerous people working at the back, the future of translation technology is bright. Adopting smart technology into business automation is the best option to bridge the language and cultural gap between the company and its customers.

Digital Marketing Trends in 2020
18
Sep

Digital Marketing Trends in 2020

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As we are now past the halfway mark of 2019, while businesses are still busy with this year’s efforts, they will also be looking to next year and what 2020 holds for the world of digital marketing.

There are no indications that digital marketing is going to be any less important. However, some digital marketing trends may take prominence in those 12 months. In the following post, we will look at five.

 

The Rise of New Technologies

 

During 2020 there are some sure-fire signs that businesses across sectors will start to use new technologies as part of their digital marketing strategies and to enhance the experience of their customers.

Augmented reality and artificial intelligence are two that look set to improve things overall. You can bet we will see these constantly evolving and improving technologies used on an even wider scale than they have been in the past.

 

Greater Emphasis on Personalisation in Email Marketing

 

Modern customers are looking for greater personalization from companies and brands, which is why marketing teams appreciate it’s often the small and subtle things that make the difference. Email marketing will continue to become more personalised and cater directly to specific segments of a company’s market.

Along with making emails more personal though, there is also going to greater attention paid to developing emails that will work well on mobile handsets and devices, such as smartphones and tablets, as that’s where a large percentage of people access their personal email from.

 

More Attention Will be Given to Geo-Marketing

 

Over the last few years, businesses in general have been utilising geo-marketing as part of their marketing strategies. However, with the demand for more accurate results, there’s been the development of geo-fencing and other brand-new technologies that bridge the gap ever so slightly between brands and their customers. Geo-fencing has been particularly effective as it enables businesses to build awareness for their brand and message while attracting competitor’s clients.

 

Video Will be Used to Enhance SEO

 

Businesses use SEO so understand the behaviour of their consumers. As search engines are always making changes and updates to ensure the most engaging and user-friendly sites are displayed and presented to users, companies need to constantly switch their approach and focus to stay in the rankings when the algorithms change.

That’s where video is important because video content is shared around 1,2000% more than the complete sum of text and links. That’s why there will be more businesses who will use videos to improve their SEO.

 

More Conversational Engagement on Social Media

 

As social media has continued to take a foothold in the world, businesses have needed to adapt and become more approachable and personable with their target audience and customers. This will undoubtedly continue in 2020, with an even greater focus on brands using social listening over conversations concerning their rivals and their brand. This will be valuable for helping them understand the content that performs best.

 
Is AI Translation Really Changing the Industry?
4
Jun

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

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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.

Worldwide Digital Transformation
18
Sep

Worldwide Digital Transformation

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Despite the fact that global digital transformation (DX) is something that all businesses must work towards, the sad truth is that most of them tend to fail in their efforts, especially when it comes to justifying the expenditure.

Now, with IDC predicting that DX expenditure across the globe will touch a mind-bending $2 trillion by 2020, it means that a good $1.6 trillion could just end up getting written off.

That begs a question – if generating ROI on worldwide digital transformation is so complex, why indulge in it in the first place?

Well, there are several reasons. To begin with, there are significant rewards that come from digitising a business and disrupting a market. If success is achieved, the concerned company will gain a significant share in the market and boost profitability, while building a sustainable business.

Secondly, if you don’t do it, your competitors are going to anyway. Finally, the causes of failure can always be overcome; it just needs better planning. Possible failure is a weak excuse.

So, if you’re wondering how you can achieve digital transformation across your global business, here are a few strategies.

 

Have a digital vision

 

You need a strategy that can get the buy-in of those at the top. This vision must be in alignment with the entire business for the purpose of a smoother execution. More importantly, it must be made clear that DX is more than marketing or technology; it’s a complete change in the way your organisation conducts business.

 

Mark business drives

 

Conduct an assessment of whether you want to focus on business innovation or technology operations. Find out where your position is within that spectrum. Look at your operations from the perspective of process, technology, and people. Consider the inefficiencies that currently exist in your business processes.

 

Assess and give importance to IT initiatives

 

What are you aiming for? Are you looking to improve your internal processes or do you want to boost your project management and technology standards? Is your focus going to be on improving customer satisfaction and value by delivering the right experiences, products, services, and content?

These are important questions to ask.

 

Ensure alignment

 

Make sure there are no gaps. Determine what technologies you need and train your workforce accordingly for better implementation. If there are skill gaps, arrange for proper training and focus on developing talents.

Reinforce your IT department with entrepreneurs, strategic visionaries, and project planners; not just technology enablers.

 

Alter IT strategy based on need

 

DX is an ongoing phase, which means priorities will change. Recognise this and adjust strategies whenever necessary.

Once you manage to create an effective digital strategy, you can reap the benefits of working in an improved digital workplace and having greater stakeholder engagement. All you need is proper planning for operational efficiency, customer value, and growth/innovation.

How-Artificial-Intelligence-Works-When-Translating-Language
25
Jun

How Artificial Intelligence Works When Translating a Language

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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.