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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

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Showing 76–100 of 351 papers

TitleStatusHype
Building a Lemmatizer and a Spell-checker for Sorani Kurdish—0
Build Fast and Accurate Lemmatization for Arabic—0
An extended morphological analyzer of German handling verbal forms with separated separable particles (Un analyseur morphologique \'etendu de l'allemand traitant les formes verbales \`a particule s\'epar\'ee) [in French]—0
Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language—0
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing—0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
Adapting and evaluating a generic term extraction tool—0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids—0
BioRo: The Biomedical Corpus for the Romanian Language—0
A Neural Lemmatizer for Bengali—0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies—0
An ELECTRA Model for Latin Token Tagging Tasks—0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions—0
Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications—0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment—0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian—0
Development of email classifier in Brazilian Portuguese using feature selection for automatic response—0
Development of a rule-based lemmatization algorithm through Finite State Machine for Uzbek language—0
Automatic Translation of English Text to Indian Sign Language Synthetic Animations—0
An efficient language independent toolkit for complete morphological disambiguation—0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?—0
Diachronic Parsing of Pre-Standard Irish—0
Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection—0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis—0
Developing New Linguistic Resources and Tools for the Galician Language—0
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