Synthetic Corpus

A Synthetic Corpus is a corpus of digitally generated texts.

• Context:
  • It can (typically) be created to simulate certain conditions of a Natural Language Processing (NLP) task.
  • It can be created by altering an existing dataset or generating new texts through algorithms.
  • It can be utilized to test out the effectiveness of various NLP algorithms or theories.
  • It can (often) represent a diversity of language usage that can be controlled and manipulated according to the requirements.
  • It can enable researchers to isolate specific linguistic features for focused studies.
  • ...
• Example(s):
  • A synthetical dialog corpus generated for chatbot training.
  • A noisy text corpus produced to simulate real-world social media text for sentiment analysis.
  • A medical terms corpus created to validate medical text mining and extraction algorithms.
  • …
• Counter-Example(s):
  • A Real-World Corpus, such as a curated dataset from real-world newspaper articles.
• See: Natural Language Processing, Text Mining, Data Corpus.

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