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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 5160 of 351 papers

TitleStatusHype
An ELECTRA Model for Latin Token Tagging Tasks0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies0
BioRo: The Biomedical Corpus for the Romanian Language0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids0
Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language0
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing0
Build Fast and Accurate Lemmatization for Arabic0
Building a Lemmatizer and a Spell-checker for Sorani Kurdish0
Building a multilingual parallel corpus for human users0
ACE-2005-PT: Corpus for Event Extraction in Portuguese0
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