Controlled natural language

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Controlled natural languages (CNLs) are subsets of natural languages that are obtained by restricting the grammar and vocabulary in order to reduce or eliminate ambiguity and complexity. Traditionally, controlled languages fall into two major types: those that improve readability for human readers (e.g. non-native speakers), and those that enable reliable automatic semantic analysis of the language.

The first type of languages (often called "simplified" or "technical" languages), for example ASD Simplified Technical English, Caterpillar Technical English, IBM's Easy English, are used in the industry to increase the quality of technical documentation, and possibly simplify the (semi-)automatic translation of the documentation. These languages restrict the writer by general rules such as "Keep sentences short", "Avoid the use of pronouns", "Only use dictionary-approved words", and "Use only the active voice".[1]

The second type of languages have a formal logical basis, i.e. they have a formal syntax and semantics, and can be mapped to an existing formal language, such as first-order logic. Thus, those languages can be used as knowledge-representation languages, and writing of those languages is supported by fully automatic consistency and redundancy checks, query answering, etc.


Existing controlled natural languages include:[2]

See also[edit]


  1. ^ O'Brien, Sharon (2003). "Controlling Controlled English - An Analysis of Several Controlled Language Rule Sets" (PDF). Proceedings of EAMT-CLAW. 
  2. ^ Pool, Jonathan (2006). "Can Controlled Languages Scale to the Web?". 
  3. ^ Norbert E. Fuchs; Kaarel Kaljurand; Gerold Schneider (2006). "Attempto Controlled English Meets the Challenges of Knowledge Representation, Reasoning, Interoperability and User Interfaces" (PDF). FLAIRS 2006. 
  4. ^ Ogden, Charles Kay (1930). Basic English: A General Introduction with Rules and Grammar. London: Paul Treber & Co., Ltd. 
  5. ^ Wasik, Szymon; Prejzendanc, Tomasz; Blazewicz, Jacek (2013). "ModeLang: A New Approach for Experts-Friendly Viral Infections Modeling". Computational and Mathematical Methods in Medicine. 2013: 1–8. doi:10.1155/2013/320715. 
  6. ^ Schwitter, Rolf; Tilbrook, M (2004). "PENG: Processable ENGlish". Technical Report, Macquarie University, Australia. 

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