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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 301310 of 351 papers

TitleStatusHype
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language0
Cross-Language Plagiarism Detection Methods0
Modernizing historical Slovene words with character-based SMT0
UZH in BioNLP 20130
Lemmatization and Morphosyntactic Tagging of Croatian and Serbian0
DKPro Similarity: An Open Source Framework for Text Similarity0
Chimera -- Three Heads for English-to-Czech Translation0
Factored Machine Translation Systems for Russian-English0
An extended morphological analyzer of German handling verbal forms with separated separable particles (Un analyseur morphologique \'etendu de l'allemand traitant les formes verbales \`a particule s\'epar\'ee) [in French]0
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation0
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