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ADDIS ABABA UNIVERSITY COLLAGE OF NATURAL SCIENCE SCHOOL OF INFORMATION SCIENCE Developing a Stemming Algorithm for Awngi Text: A Longest match approach By Tsegaye Misikir A THESIS SUBMITTED TO THE.

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This guide provides comprehensive instructions on how to properly fill out the Developing a Stemming Algorithm for Awngi Text form online. It is designed to be user-friendly, ensuring that individuals with varying levels of experience can navigate and complete the document successfully.

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  1. Click the ‘Get Form’ button to access the document and open it in the online editor.
  2. Begin by entering your personal information in the designated fields, including your name and contact details, ensuring accuracy to avoid any issues during processing.
  3. Proceed to the section where you need to provide the title of your research. Make sure it matches the title you intend for your thesis.
  4. In the next section, summarize your research objectives clearly and succinctly to communicate the purpose of your study effectively.
  5. Fill out the methodology section thoroughly, detailing the methods used for your research, while ensuring that you highlight your approach to developing the stemming algorithm.
  6. Continue by reviewing and confirming that all information filled is accurate, particularly in sections related to affiliations and acknowledgments.
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We know that strings are a sequence of characters and iterables just like lists. We can access a single character using a specific position or index in the string is called indexing. Accessing a part of a string i.e., a substring using a start and end index is called slicing.

Stemming is a natural language processing technique that is used to reduce words to their base form, also known as the root form. The process of stemming is used to normalize text and make it easier to process.

Stemming is necessary to reduce adverse blasting phenomena such as flyrock, air-blast, and toxic fume generation.

Stemming is a process that stems or removes last few characters from a word, often leading to incorrect meanings and spelling. Lemmatization considers the context and converts the word to its meaningful base form, which is called Lemma.

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