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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 121130 of 351 papers

TitleStatusHype
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary0
Evaluation of the Accuracy of the BGLemmatizer0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian0
Exploring Properties of Intralingual and Interlingual Association Measures Visually0
Automatic Categorization of Tagalog Documents Using Support Vector Machines0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages0
An annotated English child language database0
Dealing with word-internal modification and spelling variation in data-driven lemmatization0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis0
Data-Driven Morphological Analysis for Uralic Languages0
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