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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 201210 of 351 papers

TitleStatusHype
JHUBC's Submission to LT4HALA EvaLatin 20200
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging0
Joint Lemmatization and Morphological Tagging with LEMMING0
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools0
KLUE-CORE: A regression model of semantic textual similarity0
Korp --- the corpus infrastructure of Spr0
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network0
LAMB: A Good Shepherd of Morphologically Rich Languages0
LatinCy: Synthetic Trained Pipelines for Latin NLP0
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages0
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