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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 4150 of 351 papers

TitleStatusHype
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language0
Authorship Attribution Based on Life-Like Network Automata0
Automated Identification of Disaster News For Crisis Management Using Machine Learning0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis0
Automatic Categorization of Tagalog Documents Using Support Vector Machines0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian0
An efficient language independent toolkit for complete morphological disambiguation0
ACE-2005-PT: Corpus for Event Extraction in Portuguese0
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