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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
Evaluating Diversity of Multiword Expressions in Annotated Text0
Knowledge Authoring with Factual EnglishCode0
Context based lemmatizer for Polish language0
TArC: Tunisian Arabish Corpus First complete release0
DadmaTools: Natural Language Processing Toolkit for Persian LanguageCode2
Stylistic Fingerprints, POS-tags and Inflected Languages: A Case Study in PolishCode0
Diachronic Parsing of Pre-Standard Irish0
Transformer-based Part-of-Speech Tagging and Lemmatization for Latin0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions0
An ELECTRA Model for Latin Token Tagging Tasks0
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