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Lemmatization

Lemmatization is a process of determining a base or dictionary form (lemma) for a given surface form. Especially for languages with rich morphology it is important to be able to normalize words into their base forms to better support for example search engines and linguistic studies. Main difficulties in Lemmatization arise from encountering previously unseen words during inference time as well as disambiguating ambiguous surface forms which can be inflected variants of several different base forms depending on the context.

Source: Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks

Papers

Showing 2130 of 351 papers

TitleStatusHype
Evaluating Shortest Edit Script Methods for Contextual LemmatizationCode0
BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla LemmatizerCode0
The effect of stemming and lemmatization on Portuguese fake news text classification0
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationCode1
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP PipelinesCode1
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
Vacaspati: A Diverse Corpus of Bangla Literature0
Hybrid lemmatization in HuSpaCyCode1
Exploring Large Language Models for Classical PhilologyCode1
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora0
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