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Language support for NLP

Updated on July 5, 2022

Pega Platform provides text analytics based on natural language processing (NLP) that you can use to detect, process, and structure text data from email, chatbots, and social media platforms. Depending on the language of the analyzed content, various text analytics features help you obtain accurate analysis results.

Pega Platform can detect 35 languages, out of which the Pega-NLP ruleset supports 16 languages for analysis:

Before you configure your text models, define the languages that you want to use for NLP. For more information, see Enabling languages for NLP.

Languages that Pega Platform can detect

Pega Platform can detect the following languages. You can use the languages detected, including the ones that are not supported by the Pega-NLP ruleset, to connect to external NLP providers that process texts in these languages:

  • Arabic
  • Basque
  • Belarusian
  • Bulgarian
  • Catalan
  • Croatian
  • Czech
  • Danish
  • Dutch
  • English
  • Esperanto
  • Finnish
  • French
  • German
  • Hindi
  • Hungarian
  • Icelandic
  • Indonesian
  • Italian
  • Japanese
  • Korean
  • Lithuanian
  • Mandarin
  • Norwegian
  • Persian
  • Polish
  • Portuguese
  • Romanian
  • Russian
  • Serbian
  • Spanish
  • Swedish
  • Turkish
  • Ukrainian
  • Vietnamese

Languages that Pega Platform can analyze

You can create text models in Pega Platform and use them to analyze texts. Some NLP features are only available for certain languages, as shown in the following table.

LanguageContinuous learningText extractionTopic detectionSmall talk detectionIntent analysisSentiment analysis
CroatianNot availableNot availableNot available
CzechNot availableNot availableNot available
DanishNot availableNot availableNot available
JapaneseNot availableNot availableNot available
NorwegianNot availableNot availableNot available
PolishNot availableNot availableNot available
RussianNot availableNot availableNot available
SwedishNot availableNot availableNot available
TurkishNot availableNot availableNot available

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