Artificial intelligence (AI) is rapidly changing the way we communicate and do business. Thanks to AI, it’s easier than ever to connect with customers, employees, and co-worker’s in their native languages thanks to automatic translation and interpretation technology. Here are 5 ways that AI is changing localization today and in the future.
In recent years, voice translations have become easier to do. The advent of cloud technology and artificial intelligence has made it possible for businesses to easily translate phone calls from one language to another. For example, if you’re a German business with a client base in China, you can use software that will automatically convert voice into text and then back into Chinese speech so that customers in both countries can understand each other. This saves time and money over traditional translation methods.
Not only does it make life easier for employees, but it makes interactions more pleasant; you want your customers to feel comfortable when doing business with you, especially on important matters like finances or negotiations. Voice translations are also great for employee training. It’s not always feasible to bring an employee who speaks multiple languages onto staff, but using AI to translate their instructions means that everyone can be trained equally regardless of their native tongue. You might even consider adding video chat capabilities as well—this way, people who speak different languages could have a face-to-face conversation without having to travel! If you’re looking for ways artificial intelligence is changing localization, look no further than voice translations.
There’s no denying that video content has made a huge impact on marketing. A new kind of artificial intelligence technology known as Video Ai allows businesses to add subtitles and voiceovers to their videos in any language—without touching a single keyboard. Video Ai intelligently tracks facial features and speech patterns in real time, allowing it to identify different languages being spoken and convert them into captions using an enormous database of professionally translated texts.
This allows organizations with multi-language needs to finally create compelling video content that speaks to every customer on a one-to-one basis. With Video Ai, customers can read subtitles in their native language or hear someone else speaking in their own voice. For example, you could use Video Ai to automatically translate your video into Spanish for Spanish speakers or Chinese for Mandarin speakers. It’s also possible to use Video Ai to translate videos from one language into another while retaining authentic accents and dialects.
Machine translation, also known as computer-assisted translation, has been around for decades. While it has been a good way to translate small amounts of text on short timelines, machine translation didn’t offer an efficient way to translate larger amounts of text or meet stringent deadlines. Today’s advances in artificial intelligence (AI) and big data have changed that.
Google and other companies are applying AI to machine translation in order to get closer to human-level translations and greatly improve turnaround times. In addition, some translators are now using crowdsourcing platforms like Amara to increase their productivity by leveraging each other’s language skills.
Language translation was one of the first uses for artificial intelligence. Today, it’s hard to imagine business without email interpretation—you don’t need to be a linguist in order to use a tool like Google Translate that makes language barriers disappear. Artificial intelligence even gives you options that aren’t available through human interpreters, including speech interpretation. For example, if you’re traveling in Italy and you’d like directions from your hotel to Rome, text or email your question to an AI-powered service such as Waygo and receive an answer in real time.
It works by analysing photos of text and determining what language it’s written in—then it translates it before giving you a voice reply so you can get going quickly. This sort of artificial intelligence technology isn’t just changing how people communicate; it’s also changing how businesses communicate with customers around the world. If you have an international audience, email interpreting is no longer optional; it’s required.
If you want to reach customers in their native languages, you’ll need a solution that automatically translates and interprets texts and emails into multiple languages (and allows them to do likewise). You’ll also want artificial intelligence behind your solution because humans can only translate one language at a time; using AI will allow customers who speak different languages to chat freely with each other via their preferred method of communication (text message, social media, etc.).
Chatbots are one of AI’s biggest localization success stories. Chatbots are designed to imitate real conversations and can be used to translate and interpret (among other things). The technology has already been applied in a number of ways—from Google Translate for Android, which lets users have back-and-forth conversations with a chatbot that works much like a bilingual human would, to Facebook Messenger bots for businesses, where customers can engage with customer service reps in their native language.
Even voice-controlled devices like Amazon Echo and Google Home are beginning to use artificial intelligence. In short, chatbots make it easier than ever before for businesses and consumers around the world to interact seamlessly. There’s no telling what type of impact they’ll have on localization over time. But as long as AI continues to improve, chatbots will likely become an increasingly popular method of translation and interpretation.
And that means businesses will soon be able to take advantage of new opportunities for growth. For example, by serving a larger audience and communicating more effectively with international partners or clients. What does all of this mean? Businesses that don’t incorporate artificial intelligence into their workflows now may soon find themselves left behind. Those who do embrace AI may well see benefits in terms of efficiency, revenue generation, growth potential, market share and so forth.