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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 141150 of 351 papers

TitleStatusHype
Harmonizing Different Lemmatization Strategies for Building a Knowledge Base of Linguistic Resources for Latin0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task0
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity0
Holaaa!! writin like u talk is kewl but kinda hard 4 NLP0
How low is too low? A monolingual take on lemmatisation in Indian languages0
Chimera -- Three Heads for English-to-Czech Translation0
A Morphological Analyzer for Shipibo-Konibo0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Context Sensitive Neural Lemmatization with Lematus0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings0
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