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Natural Language Processing gives search engines a new linguistic competence

Natural Language Processing (NLP) is a fascinating technology that enables computers to understand, interpret and respond to human language. NLP paves the way to a new dimension of corporate search.
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What problems does NLP solve?

Natural Language Processing processes natural language and supports machines in processing natural language text data.
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You receive search results that capture more than the original keyword query.

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Information can be categorized using industry-specific filters. This allows relevant search results to be captured more quickly.

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Communication between man and machine can be optimized even further.

Specific use cases in companies

NLP is essential for an efficient company search. Wherever large volumes of unstructured text data need to be processed, NLP comes into play.
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Chatbots & virtual assistants: Inquiries are accepted, compared with FAQ databases and answered.

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Indexing of documents: NLP can automatically recognize their content and urgency (e.g. notice of termination).

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vIntelligent text analysis: NLP can extract key content from multi-page texts. For example, contracts can be easily analyzed.

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Translations of search queries & answers from foreign-language content.

Good to know: What is Natural Language Processing (NLP)?

NLP is a sub-area of artificial intelligence (AI). Computers are enabled to process and understand text and spoken language.

As understanding natural language is a major challenge, various AI methods are used: primarily lexicons and rule-based methods (classic computational linguistics) and machine learning (ML), for example in the form of deep learning.

For example, certain algorithms identify the rules of natural language, extract the meaning of a sentence and collect essential data from it.

NLP is at the heart of a good enterprise search solution

An enterprise search system provides the ideal basis for NLP applications, as it guarantees access to information in different data silos.

The complexity of human language is a challenge and understanding language is an extremely demanding process. Therefore, various NLP techniques are combined and applied to overcome these difficulties. Human text and speech data is broken down in several stages. Computers are enabled to extract and process structured information from natural language.

Beuth Verlag: Optimal use of NLP in practice

Find out more in our case study: Find standards and technical guidelines with one click

By integrating enterprise search solutions with natural language processing, data is finally made easily accessible again. Companies can thus effectively maintain an overview and benefit from improved data availability.
Use Case: Beuth Verlag
The company offers software solutions for standards management, including the former Perinorm and Beuth e-Norm systems. In a modernization project, the innovative Nautos solution was developed in close cooperation with lead users and now replaces these two systems. The integration enables a more cost-efficient solution and opens up new sales opportunities through additional functions.
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Use Case: Beuth Verlag
The heart of Nautos is its search function, which Beuth realized with the help of the iFinder solution. The iFinder enables:

An auto-complete function that completes the search term after just a few letters or makes alternative suggestions. Any typing or spelling errors are automatically corrected by the software. The integration of Natural Language Processing (NLP) gives users direct access to the information they need, even for queries in natural language.
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Do you have your own special use case?

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You want to use AI tools like NLP for language processing?

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Contact us via the form providing the rough key data of your use case

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We analyze your use case and advise you without obligation

 

NLP: Your efficiency boost for your data - Talk to us

What we offer

  • A non-binding, concise assessment of which solution is right for your case and your organization
     
  • Explanations of benefits and points to consider (e.g. data security and privacy)
     
  • We analyze your use case and advise you
     
  • Get in contact with:

    Franz Kögl, CEO                    Breno Faria, Product Lead AI         

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Learn even more details about NLP and AI tools

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