The Difference Between Natural Language Processing and Technical Language Processing

Natural Language Processing (NLP) and Technical Language Processing (TLP) are two connected innovations that allow us to get a deeper understanding and classification of search terms. These solutions are incredibly useful and empower businesses with better data analysis opportunities.

We’re going to take a look at NLP and TLP to understand their benefits and how they can be incorporated into businesses.

What Is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is a way to automate the manipulation of natural languages, such as speech or text, through software. NLP uses machine learning to parse and learn keywords and phrases. This raw data is then processed through a number of algorithms, as well as our own grammatical framework and language accentuations, to discern the user’s intent when entering a search term. Although it can be used for language translation purposes, businesses have found other uses for NLP too, such as data analytics.

The Benefits Of NLP

There are a host of benefits that NLP can offer businesses, including:

• Improved data analysis
• Enables Intelligent Search systems
• Streamlined business processes such as collating surveys
• Frees up employees for higher-level jobs thanks to the elimination of repetitive tasks
• Reduced costs and increased productivity as a result of operational efficiencies

What Is Technical Language Processing (TLP)?

Technical Language Processing (TLP) expands on NLP by using an iterative process that tailors NLP tools for a specific business or industry. It utilises detailed domain-based taxonomies and data dictionaries to ensure that the system understands all relevant technical terms, abbreviations and acronyms which may appear in a document or search term. TLP has the potential to surface ‘buried’ technical knowhow, which can, in turn, offer keen insights by leveraging your company’s information assets.

Bringing NLP and TLP Together

Flare’s AI-driven technology makes use of NLP and TLP to achieve two main goals: – Interpreting and understanding the intent of a user’s search terms – Accurately classifying any ingested information. These two goals ensure that users receive the most meaningful search results possible, even when they don’t have technical keywords or phrases available to them. This can increase efficiency, analytics and a range of other areas of business. If you’re interested in integrating NLP and TLP into your business, contact our experts at Flare Solutions today. We empower industries with intelligent search capabilities to clean up their data and make it easier to search and find information.

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