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  • Home
    • Pre-Requisites for Rasa Pro Courses
    • What you will learn
    • Introduction to CALM
    • Architecture of an Assistant built with CALM
    • Configuring the Working Environment
    • Difining Business Logic (Flows)
    • Dialogue Understanding
    • Custom Actions
    • Handling Deviations from the Happy Path
    • Enterprise Search
    • Running in Production
    • Summary
    • Retail Banking - Instructions
    • Telecom - Instructions
    • Overview
      • Introduction
      • Introduction to Rasa
      • Creating a New Assistant
      • The Domain File
      • Training Data & Rules
      • Entities
      • Slots
      • Responses
      • Pipeline
      • Custom Actions
      • Basic Forms
      • Custom Forms
      • Website Integration
      • Rasa is Always Improving
      • Windows
      • Mac
      • Ubuntu
      • What you'll learn
      • Custom Actions
      • Introduction to Slots
      • Constraining Slots
      • Rasa Forms
      • Text Slots
      • Data Validation
      • What you'll Learn
      • Introduction to Docker
      • Premade Rasa Containers
      • The Need for Kubernetes
      • How Kubernetes Works
      • Local Kubernetes Demo
      • Why Helm
      • Study Guide
      • What you'll learn
      • Custom Actions Intro
      • Memory and Slots
      • Rasa Forms
      • Ask for Data
      • Data Validation
      • Example Form: Names
      • Slots
      • Custom Actions
      • Basic Forms
      • Custom Forms
      • What you'll learn
      • Word Embeddings
      • Transformers
      • Tokenization
      • Bert
      • Shrinking Transformers
      • Model Confidence
      • Stopwords
      • Intents
      • End to End ML
      • GPT-3
      • Non-English Pipelines
      • Multi-Lingual Pipelines
      • Annotating Language Data
      • Featurizers
      • Regular Expressions
      • Transfer-Learning
      • What you'll learn
      • Measuring Bias
      • Mitigating Bias
      • Lipstick on a Pig
      • Projection Maths
      • Word Analogies
      • What you'll learn
      • Self Attention
      • Keys, Values & Queries
      • Multi Head Attention
      • Transformers

NLP for Developers: Non-English NLP Pipelines

In this video, Rasa Developer Advocate Rachael will talk about some components you might want to add to your NLP pipeline if you're working with non-English languages.

Video#


Links#

  • Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax - Emily Bender
  • the Stanza Project - Stanford NLP
  • Rasa Custom Components Guide
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