Using Custom SpaCy model

@Talhag958 I didn’t end up using the SpaCy model for Urdu because I was unable to integrate it in RASA. Here is my config.yml file which I am using.

Configuration for Rasa NLU.

Components

language: ur

pipeline:

  • name: WhitespaceTokenizer
  • name: RegexFeaturizer
  • name: LexicalSyntacticFeaturizer
  • name: CountVectorsFeaturizer
  • name: CountVectorsFeaturizer analyzer: “char_wb” min_ngram: 1 max_ngram: 4
  • name: DIETClassifier epochs: 100
  • name: EntitySynonymMapper
  • name: ResponseSelector epochs: 100

policies:

  • name: MemoizationPolicy
  • name: KerasPolicy
  • name: MappingPolicy
  • name: FormPolicy