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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 301310 of 351 papers

TitleStatusHype
The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words0
The goo300k corpus of historical Slovene0
Transformers on Multilingual Clause-Level MorphologyCode0
Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural NetworksCode0
SoMaJo: State-of-the-art tokenization for German web and social media textsCode0
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNsCode0
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNsCode0
SoMeWeTa: A Part-of-Speech Tagger for German Social Media and Web TextsCode0
The Role of Interpretable Patterns in Deep Learning for MorphologyCode0
Analyzing Pre-processing Settings for Urdu Single-document Extractive SummarizationCode0
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