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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 111120 of 351 papers

TitleStatusHype
Enhancing Lemmatization for Mongolian and its Application to Statistical Machine Translation0
Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language0
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition0
ENIAM: Categorial Syntactic-Semantic Parser for Polish0
Enrichir et raisonner sur des espaces s\'emantiques pour l'attribution de mots-cl\'es (Enriching and reasoning on semantic spaces for keyword extraction) [in French]0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing0
Evaluating Diversity of Multiword Expressions in Annotated Text0
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage0
Building a multilingual parallel corpus for human users0
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian0
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