Lemmazás

Lemmazás, also known as lemmatization, is a process in natural language processing (NLP) and computational linguistics that involves reducing words to their base or dictionary form, known as the lemma. Unlike stemming, which simply chops off the ends of words, lemmatization considers the context and meaning of the word, providing a more accurate and linguistically correct form. For example, the words "running," "runs," and "ran" would all be lemmatized to the lemma "run." Lemmatization is particularly useful in tasks such as information retrieval, text classification, and machine translation, where understanding the root form of a word is crucial for accurate analysis and processing. The process typically involves using a lexicon or a morphological analysis tool to map inflected forms to their corresponding lemmas. Lemmatization can be challenging due to the complexity of language, including irregular verbs, homographs, and idiomatic expressions. However, advancements in NLP techniques and the availability of large linguistic resources have significantly improved the accuracy and efficiency of lemmatization algorithms.