How I found the most efficient and easy way to scale my business.

I have been working on translation projects since 2012, and this direction was not chosen by chance. Back then, it was noticed how much localisation can affect business performance. In our case, support for only 15 languages instead of one allowed us to increase the number of mobile app downloads to 35 million without advertising costs. No other actions gave us such benefits, taking into account the time and money spent. And this was the main reason why I chose this business.

Despite globalization, the problem of the language barrier is still relevant. There are more than 7 thousand languages in the world, in which more than 7 billion people communicate. According to statistics, every year more than 1 billion people search the Internet for translation related solutions.

Every day the amount of data in different languages increases. The share of English on the Internet has decreased to 25%.

According to a recent survey in eight countries, more than 72% of consumers said they were more likely to make a purchase on a website if it was in their native language.

42% of consumers in the European Union do not buy goods or services presented in a foreign language, even if they speak that language fluently.

Companies that have localized their content are 2.5 times more likely to experience year-on-year profit growth and 1.8 times more likely to experience revenue growth.

If we consider an example of a specific case, then we can cite Hubspot. They translated the text of the commercial offer, spending $1,500, which led to an increase in annual revenue by $144,000 from this advertising campaign.

MACHINE TRANSLATION EVOLUTION

Any international business needs translation feature. This can be the translation of documents, a website, multilingual customer support, and more. Despite the huge demand for translations, the use of humans for this task is expensive and takes a lot of time. Therefore, as soon as computers appeared, they immediately began to be used to solve the problem of the language barrier.

Continuous improvement of the machine translation quality has made it possible to reduce the cost of human translation many times, because in localisation the main expense is the salary of people who speak foreign languages. The better the computer translates, the less time a human needs to correct mistakes behind it. The development of technology has already made it possible in some cases to completely replace human translation with machine translation.

For example, on September 1, 2020, the world's leading scientific journal Nature published a report that machine translation has already reached human quality in English-Czech news.

For a long time, the machine translation market was shared between corporations like as Google, Microsoft, Yandex. They had more opportunities to collect huge data sets, hire scientists, and also get a supercomputer to process them.

A few years ago, startups had no chance to match the quality of translation with the leaders, but gradually everything changed.

The development of open-sourced platforms for neural networks, free datasets, super-computers available for small businesses has changed the rules of the game.

Small companies began to join the translation market, and in 2016 our company Lingvanex became one of such startups.

After spending four years on development and research, our team has achieved high-quality translation into more than a hundred languages with the features of translating text, voice, files, websites. And now we have started to offer solutions for business.

MACHINE TRANSLATION WILL BE USEFUL WHEREVER THERE IS A LOT OF CONTENT

• E-commerce, news media, encyclopedias, forums, Q&A services, reviews, etc.

• Sale tools. Lead generation. Email newsletters.

• Search engine optimization (SEO).

• Business analytics. Parsers. Data collection in other languages,

• Chats, chatbots, support services.

• As an additional feature to the services. For example, for CRM

WHAT IS THE DIFFERENCE FROM GOOGLE TRANSLATOR

If you are a student or a tourist and you need to translate a small post for personal purposes, then you can use free services like Google or Microsoft. But if you are a company, then it may not be safe to translate customer emails, invoices, certificates and other internal documents through free online services, since such companies collect your data in order to sell them to advertisers later. In addition, translations of large volumes of text through the Google API will be very expensive.

For such cases, Lingvanex provides the ability to install a translator on a corporate network and translate large amounts of data without Internet access. Moreover, everything happens very quickly and with the preservation of formatting. In addition, the Lingvanex line of solutions covers many cases of translation integration into business processes. All the languages that Google has are available in Lingvanex products.

CLOUD API

To connect, you need internet access to quickly integrate with your services. The cost of the Lingvanex API for translation begins from $3 per million characters, with the same number of languages and comparable quality as Google. The price depends on the volume. By default, the price is $5 per million characters, which is 4 times cheaper than Google.

TRANSLATION SERVER

If translation volume is more 200 million characters per month or confidentiality is required, then it’s better to get translation server to translate without limits and save money. You can translate billions of characters per day at a fixed price. Using the server, your data remains with you. The Ubuntu operating system is needed for the server to work. Server works via REST API and is easily integrated into your SaaS services.

[** A free demo version of the server is available for 1 week. **]

The server can translate text, HTML (websites) and formatted files into 120 languages, as well as convert voice to text from 18 languages.

To use server, you need a Nvidia GPU card such as Geforce GTX and newer, a processor with 4 cores, 16GB of RAM and 100GB of disk space. The server can be used without a video card, on CPU, but then the translation speed will be 10 times slower. The translation speed based on one Nvidia T4 graphics card is 20,000 characters per second. So it can translate 1 billion characters per day.

If necessary, our technical team will help you deploy the translation software on your server. It can be done within 2 hours.

The price starts from 6000 euros per year and is formed depending on the number of languages and functions (text, HTML, files, voice transcription). For large volumes of translation, this is the best option for the price (at the rate of 500 euros / month).

SDK

Allows you to add translation feature in applications on iOS, Android, Windows and Mac OS. It is a static library that can be integrated into the source code of your projects. SDK can translate without internet connection and use small language files. 100 languages are available. It is suitable for private messengers, browsers, legal and medical and other cases where data protection is needed. The price for the SDK starts from 2000 euros per year.

DESKTOP APPLICATION
Translate text and files offline under Windows and Mac OS. They are installed on each computer separately. Suitable for a corporate network where there is no Internet access. The price starts from 200 euros per year for a license for 1 computer.

You can learn more about translation solutions and check the quality of translation here:

https://lingvanex.com/

Contact us:

[email protected]