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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 7180 of 351 papers

TitleStatusHype
ANNLOR: A Na\" Notation-system for Lexical Outputs Ranking0
Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages0
Building a multilingual parallel corpus for human users0
An Extensible Multilingual Open Source Lemmatizer0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity0
Building a Lemmatizer and a Spell-checker for Sorani Kurdish0
Build Fast and Accurate Lemmatization for Arabic0
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
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
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