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Glossary

What is natural language processing (NLP)?

Natural language processing is the set of computational methods for analysing or producing human language, from classifying a document to generating text.

Updated 21 Aug 2026

01

Where this one gets misread

NLP is a field, not a capability. Being told a system uses NLP tells you nothing about whether it can do the specific thing you need, and it is usually said in place of a measurement.

02

Questions to ask

Ask for a worked example on your own material, and the evidence needed to reproduce it.

  • Which specific task is being claimed?
  • What is the measured performance on it?
  • Against what baseline?
  • On whose material was it measured?
03

How Marella uses the term

We use “Natural language processing (NLP)” only where a product mechanism or an evaluation method backs it up, and we say when the behaviour depends on how a deployment is configured.

  • Backed by a product mechanism or an evaluation method
  • Deployment differences flagged

What this page does not prove

  1. B1A definition is not a claim about how the product performs.
  2. B2Vendor implementations vary.
  3. B3Test the term against a representative workflow.

Test the claim on your documents

Pick a real piece of work, agree what a good answer looks like, then go through the results together.