Explore how Natural Language Processing (NLP) is revolutionizing the translation industry. Discover NLP applications, its impact on machine translation, and why Localize is the ideal solution for seamless localization.
Will the language barrier ever be a thing of the past? With new advances in artificial intelligence like NLP, things are changing fast.
NLP—natural language processing—is an emerging AI field thattrains computers to understand human languages. NLP uses machine learning algorithms to gain knowledge and get smarter every day. And it’s built into tools that many of us use daily, from spell checkers to smart speakers.
According to Forbes, we’re now in the “Golden Age of NLP.” There are even more advances on the horizon. Join us as we explore NLP and its impact on the translation industry.
NLP takes raw, written text and interprets it into a form that a computer can understand and analyze. State-of-the-art NLP can quickly analyze large amounts of text to generate insights and complete tasks.
For example, instead of manually translating an entire website into a different language, you can use Google’s NLP-powered translation tool, Google Translate, to automatically draft a translation.
Natural language processing is a billion-dollar industry for a reason. Some researchers believe that NLP has the potential to revolutionize many industries, from healthcare to sales and marketing.
NLP is the backbone of many popular tools that a lot of us use every day. Here are just a few of them.
Natural language processing trains machines to learn and understand human language and speech. NLP and ML (machine learning) are part ofAI (Artificial Intelligence). Both subfields share techniques, algorithms, and knowledge.
Ever wondered how it works? Here’s how NLP analyzes massive amounts of data to complete tasks for humans.
To begin, NLP pre-processes texts to extract pertinent information. Here are just a few of the data science techniques that work behind the scenes of NLP preprocessing.
After the data is preprocessed, the NLP algorithm analyzes it. There are many different types of algorithms used in NLP, but the following types are the most common:
With thousands of different languages used all over the world, translation is one of the most exciting applications of natural language processing technology.
Machine translation (MT) is one of the oldest fields of AIresearch, and recent advancements in NLP have led to big improvements in translation quality. Machine translation is the process that a computer uses to translate text from one language to another, like English to Spanish, without human intervention.
The earliest versions of machine translation were plagued with inaccuracies and translation errors. In recent years, developments like neural machine translation (NMT) helped AI tools build their knowledge to craft more nuanced and accurate sentences.
Google Translate, Microsoft Translate, DeepL,and IBM’s Watson use the latest NLP technology to power their machine translation systems.
AI tools make the translation process easier than ever. A crucial benefit of machine translation is its lightning-fast processing power. Computers can now translate an entire book, website, or product database in mere seconds. Another primary benefit is cost. Many leading AI translation tools have low-cost enterprise versions for companies who wish to localize their websites.
Although NLP led to huge advancements in language translation, AI translations aren’t quite perfect yet. Machine translation can’t always understand cultural differences or translation context like human readers can. For this reason, human oversight is still needed for accurately translating content from one language to another.
In the translation industry, machine translation offers the most value as a tool to speed up the localization process. When used together with human post-editing, you get the best of both worlds.
As more companies go global, localization teams must work hard to meet the demand for localized content in international markets. NLP-powered machine translation technology reduces localization costs and helps translators produce content more quickly.
However, until AI translations can completely imitate the human brain, post-editing from human translators will still be needed. It's crucial to choose translation software that supports both NLP machine translation and human translators.
Integrating the power of NLP into your localization strategy is a must. Localize is a translation management system (TMS) that is always keeping an eye on future technical developments that can improve the quality of translations.
Localize provides several cutting-edge machine translation options including Google Translate, Amazon Translate, and Microsoft Translate. Our tools also integrate with top LSPs and translation agencies so you can experience the benefits of both human and machine translation.
Contact the experts at Localize to explore how our solutions can help you.
Experienced content pro with years in SaaS and tech. I blend writing, editing, knowledge management, and content strategy to make tough technical topics easier.
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