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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 1120 of 351 papers

TitleStatusHype
Exploring Large Language Models for Classical PhilologyCode1
HuSpaCy: an industrial-strength Hungarian natural language processing toolkitCode1
ELIT: Emory Language and Information ToolkitCode1
Lemmatization of Historical Old Literary Finnish Texts in Modern OrthographyCode1
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the EndangeredCode1
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language ProcessingCode1
KLPT – Kurdish Language Processing ToolkitCode1
TopicModel4J: A Java Package for Topic ModelsCode1
Stanza: A Python Natural Language Processing Toolkit for Many Human LanguagesCode1
NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish0
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