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To find stem words, you can use stemming algorithms like Porter or Snowball, which reduce words to their base or root form by stripping suffixes and prefixes. Additionally, linguistic tools and libraries, such as NLTK in Python, can help automate this process. You can also manually identify stems by analyzing word patterns and their variations in context. This approach is useful in natural language processing and information retrieval.

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