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After that to it moves to the overall context. Two real-life applications of … Other times, you’ll be asked to write rules that explain how words are built out of morphemes. b) False. But the results achieved are very different. c) Handling POS-Tagging. Linguistics sets out to describe language. But the nltk does come with an Arabic stemmer, see here. In this process, the endings of the words are removed to return the base word, which is also known as Lemma. It depicts analyzing, identifying and description of the structure of words. 1. Starting from the top the first phase is Morphological Analysis/ lexical Analysis: Here we separate the words as tokens like root words by removing all the suffix and prefix to make it easy • Morphological processes • Types of Morphemes • Morphology in NLP – computational morphology • Tools ... Morphology in NLP • Morpho

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