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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 311320 of 351 papers

TitleStatusHype
SSA-UO: Unsupervised Sentiment Analysis in Twitter0
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)0
Morphological Analysis and Disambiguation for Dialectal Arabic0
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter0
Towards an automatic identification of chiasmus of words (Vers une identification automatique du chiasme de mots) [in French]0
KLUE-CORE: A regression model of semantic textual similarity0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity0
UBC\_UOS-TYPED: Regression for typed-similarity0
Development of a Hindi LemmatizerCode0
The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words0
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