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Cerberus is an app that reduces the annotation burden of linguists

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Cerberus

What is Cerberus?

Cerberus is an app that reduces the annotation burden of linguists. It does this by making it easy for linguists to apply state-of-the-art natural language processing models to their data. Given some initial data, these models learn to perform linguistic annotation tasks themselves. They can then automatically perform those tasks on a much larger dataset, reducing the manual labour of a linguist. The models are not perfect and are designed to help bootstrap a linguistic project.

Cerberus currently supports the following tasks:

  • POS tagging: Assigning a syntactic category to each word.
  • Translation: Automatically translating from one language to another.
  • Classification: Assigning a user-defined label to a word, sentence or paragraph.

Coming soon:

  • Spelling correction: Correcting misspelt words.
  • Morphological analysis: Assigning morphosyntactic features to each word.
  • Language modeling: Generating grammatical sentences.

Cerberus is built on top of AllenNLP and Streamlit.

Cerberus' home page