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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 221230 of 351 papers

TitleStatusHype
The impact of simple feature engineering in multilingual medical NER0
Automatic Translation of English Text to Indian Sign Language Synthetic Animations0
LAMB: A Good Shepherd of Morphologically Rich Languages0
Towards error annotation in a learner corpus of Portuguese0
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks0
Authorship Attribution Based on Life-Like Network Automata0
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language0
An NLP Pipeline for Coptic0
NRC Russian-English Machine Translation System for WMT 20160
Leveraging Inflection Tables for Stemming and Lemmatization.0
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