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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 231240 of 351 papers

TitleStatusHype
The Effects of Syntactic Features in Automatic Prediction of Morphology0
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages0
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
The GW/UMD CLPsych 2016 Shared Task System0
The impact of simple feature engineering in multilingual medical NER0
The IPR-cleared Corpus of Contemporary Written and Spoken Romanian Language0
The Kyoto University Cross-Lingual Pronoun Translation System0
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language0
The Political Speech Corpus of Bulgarian0
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