@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