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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 291300 of 351 papers

TitleStatusHype
TArC: Tunisian Arabish Corpus First complete release0
TArC: Tunisian Arabish Corpus, First complete release0
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages0
The 2021 Urdu Fake News Detection Task using Supervised Machine Learning and Feature Combinations0
The annotation of the C-ORAL-BRASIL oral through the implementation of the Palavras Parser0
The CMU Machine Translation Systems at WMT 20140
The COPLE2 corpus: a learner corpus for Portuguese0
The effect of stemming and lemmatization on Portuguese fake news text classification0
The Effects of Syntactic Features in Automatic Prediction of Morphology0
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages0
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