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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 8190 of 351 papers

TitleStatusHype
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization0
Adapting and evaluating a generic term extraction tool0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids0
BioRo: The Biomedical Corpus for the Romanian Language0
A Neural Lemmatizer for Bengali0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies0
An ELECTRA Model for Latin Token Tagging Tasks0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian0
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