Covers: theory of Language Identification
Estimated time needed to finish: 25 minutes
Questions this item addresses:
- What are current methods for language detection in multilingual documents?
How to use this item?
Skim the paper, especially sections 1, 2, 8, and 9.
Author(s) / creator(s) / reference(s)
Marco Lui, Jey Han Lau, and Timothy Baldwin
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Overview of Language Identification
Contributors
- Objectives
- Provide an introduction to language identification.
- Potential Use Cases
- People who want to implement their first language identification model.
- Who is This For ?
- BEGINNERNewcomers to natural language processing and text classification.
Click on each of the following annotated items to see details.
ARTICLE 1. Language Detection
- What is language detection?
3 minutes
ARTICLE 2. Benchmarking Language Detection for NLP
- What are some existing tools for language detection in Python?
10 minutes
PAPER 3. Automatic Detection and Language Identification of Multilingual Documents
- What are current methods for language detection in multilingual documents?
25 minutes
Concepts Covered
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