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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 131140 of 351 papers

TitleStatusHype
An NLP Pipeline for Coptic0
First Steps towards the Semi-automatic Development of a Wordformation-based Lexicon of Latin0
Few-Shot and Zero-Shot Learning for Historical Text Normalization0
Chimera -- Three Heads for English-to-Czech Translation0
Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style0
Generating a Gold Standard for a Swedish Sentiment Lexicon0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian0
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship0
A Morphological Analyzer for Shipibo-Konibo0
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