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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 271280 of 351 papers

TitleStatusHype
Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages0
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models0
UZH in BioNLP 20130
UZH@SMM4H: System Descriptions0
Vacaspati: A Diverse Corpus of Bangla Literature0
Very Large-Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin0
``Vreselijk mooi!'' (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.0
Weighting Finite-State Transductions With Neural Context0
Word-Formation Network for Czech0
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