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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 251260 of 351 papers

TitleStatusHype
CEPLEXicon ― A Lexicon of Child European Portuguese0
A Neural Lemmatizer for Bengali0
FOLK-Gold ― A Gold Standard for Part-of-Speech-Tagging of Spoken German0
Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art0
UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing0
Integrated Sequence Tagging for Medieval Latin Using Deep Representation LearningCode0
N-Gramas de Caractere como T\'ecnica de Normaliza \~ao Morfol\'ogica para L\' Portuguesa: Um Estudo em Categoriza \~ao de Textos (Character N-grams as a Morphological Normalization Technique for Portuguese Language: A Study in Text Categorization)0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model0
Processing and Normalizing Hashtags0
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