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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 6170 of 351 papers

TitleStatusHype
Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection0
Towards the Creation of a Diachronic Corpus for Italian: A Case Study on the GDLI Quotations0
Describing Language Variation in the Colophons of Armenian Manuscripts0
Diachronic Parsing of Pre-Standard Irish0
Transformer-based Part-of-Speech Tagging and Lemmatization for Latin0
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
The 2021 Urdu Fake News Detection Task using Supervised Machine Learning and Feature Combinations0
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations0
Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset0
Linguistic change and historical periodization of Old Literary Finnish0
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