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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 7180 of 351 papers

TitleStatusHype
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
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
Context Sensitive Neural Lemmatization with Lematus0
Coreference Resolution in FreeLing 4.00
CoRoLa --- The Reference Corpus of Contemporary Romanian Language0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task0
Counting What Counts: Decompounding for Keyphrase Extraction0
CroDeriV: a new resource for processing Croatian morphology0
Compounds and distributional thesauri0
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