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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 341350 of 351 papers

TitleStatusHype
Chimera -- Three Heads for English-to-Czech Translation0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity0
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian0
Compounds and distributional thesauri0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task0
Context Aware Lemmatization and Morphological Tagging Method in Turkish0
Context based lemmatizer for Polish language0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
Context Sensitive Neural Lemmatization with Lematus0
Coreference Resolution in FreeLing 4.00
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