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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 291300 of 351 papers

TitleStatusHype
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity0
A Morphological Analyzer for Shipibo-Konibo0
A Morphologically Annotated Corpus of Emirati Arabic0
Analyse Automatique de l’Ancien Arménien. Évaluation d’une méthode hybride « dictionnaire » et « réseau de neurones » sur un Extrait de l’Adversus Haereses d’Irénée de Lyon0
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