lemmatisaation
Lemmatisaation, or lemmatization, is the process of reducing a word to its lemma, the canonical dictionary form. Unlike stemming, which crudely trims affixes, lemmatization uses linguistic analysis to map inflected forms to a base form, typically producing one lemma per word form. The lemma often serves as a stable unit of meaning for tasks such as indexing and linguistic analysis.
Most lemmatization systems combine several techniques. Dictionary-based approaches rely on lexicons to map inflected forms to
Lemmatization has wide-ranging applications in natural language processing. It improves information retrieval by grouping morphological variants
Challenges arise from language diversity and ambiguity. Highly inflected languages (for example, Finnish, Turkish, Russian) present
Common tools and resources include spaCy, NLTK, UDPipe, and Stanford CoreNLP, often backed by annotated corpora