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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
eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey0
Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of CzechCode3
Recent advancements in computational morphology : A comprehensive survey0
Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical TransformersCode0
Joint Lemmatization and Morphological Tagging with LEMMING0
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian0
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages0
Opera Graeca Adnotata: Building a 34M+ Token Multilayer Corpus for Ancient GreekCode1
Cross-lingual Named Entity Corpus for Slavic LanguagesCode0
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus0
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