In today’s environment, banks that want to remain competitive must effectively engage with foreign-language clients, increase service speed as much as possible, and maximise process automation, especially when it comes to handling documentation.
Modern machine translation technologies, powered by advanced artificial intelligence, quickly solve language-related challenges. In this article, we will explore how and, more importantly, why it’s necessary to implement translation software in the banking sector.
Why Banks Need Translation Software
One of the key challenges is providing quality service to clients, regardless of their nationality. Research shows that over 60% of customers prefer to conduct transactions in their own language, which directly impacts their level of trust and loyalty to the bank.
In Europe, we are seeing an increasing number of people from Eastern countries. While some of them have a decent command of English, many lack the vocabulary needed to address specific financial matters. Bank branches don’t always have an interpreter on hand or even someone who studies Chinese as a hobby, for example.
Free online translators are a widely used and fairly decent option when it’s the only solution available. However, their “intelligence” isn’t always sufficient. Due to misunderstandings of context and speech recognition that isn’t perfect, unexpected words can sometimes slip into the translation.
Applications of Translation Software in Banks
Automating the Translation of Banking Websites
The integration of machine translation platforms into banking websites is becoming increasingly popular. These platforms typically use neural networks and artificial intelligence algorithms to deliver high-quality translations. Banking websites often offer users the option to select their preferred interface language, either through a dropdown menu or by automatically detecting the user’s browser language. As a result, the website’s text content, including both static elements (like menus, headers, and footers) and dynamic elements (such as news, blogs, and notification windows), is automatically translated.
Virtual Assistants
Chatbots and virtual assistants that support multiple languages significantly enhance customer service. Automated responses provide the necessary information much faster than interactions with live operators. Chatbots operate around the clock, reducing the burden on contact centres and hotlines.
Replacing Simultaneous Interpreters
In bank branches, systems that translate conversations in real-time can be installed. A customer can communicate with a manager in their own language through a special application or equipment that translates their speech into the manager’s language, and vice versa. This service can be implemented using Lingvanex machine translation.
Document Translation
Machine translation systems can be integrated into document management systems. Neural machine translation accurately translates banking terminology. To achieve this, the software needs to be customised to the client’s needs. This setup is managed by developers, with the client only needing to provide the texts required for training the machine.
What Software Should Banks Consider for Secure Translation?
In the banking sector, it’s crucial to choose software that strictly adheres to security protocols and protects data from unauthorised access and leaks. Look for companies that use end-to-end encryption for data transmission and storage. Additionally, it’s preferable that the software operates on local servers, eliminating the risks of data breaches over the Internet.
On-premise Software
On-premise translation software operates without an Internet connection. The translated information stays on the user’s device, and even the developers don’t have access to it. This option is ideal for handling confidential financial data.
Machine Translation SDK
An SDK (Software Development Kit) is integrated by the provider’s developers into the client’s mobile and desktop applications to add offline translation functionality.
Cloud Translation API
This is a cloud-based translation that requires an Internet connection. It’s less secure than on-premise software but far more reliable than free translation services, which often collect input data for training translation models. The terms of data usage vary depending on the software provider. For example, Lingvanex clearly states that client data is automatically deleted immediately after the request is processed and is not used for personal purposes.
Chatbot Translator
This tool automatically detects languages and translates messages into the selected language. It can be integrated into popular messaging platforms for communication with foreign-language clients, eliminating the need for users to manually copy and paste text.
Conclusion
Banks that implement automatic translation technologies are not just keeping up with the times, but are also securing leading positions in the market. The key is to choose a reliable translation software provider. Modern platforms offer high-quality translations and ensure compliance with all security standards.
