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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 5175 of 351 papers

TitleStatusHype
An ELECTRA Model for Latin Token Tagging Tasks0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies0
BioRo: The Biomedical Corpus for the Romanian Language0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids0
Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language0
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing0
Build Fast and Accurate Lemmatization for Arabic0
Building a Lemmatizer and a Spell-checker for Sorani Kurdish0
Building a multilingual parallel corpus for human users0
Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages0
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model0
CELI: An Experiment with Cross Language Textual Entailment0
ACE-2005-PT: Corpus for Event Extraction in Portuguese0
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
Analysing cross-lingual transfer in lemmatisation for Indian languages0
A Simple Joint Model for Improved Contextual Neural Lemmatization0
Context based lemmatizer for Polish language0
Context Aware Lemmatization and Morphological Tagging Method in Turkish0
A set of open source tools for Turkish natural language processing0
Analyse Automatique de l’Ancien Arménien. Évaluation d’une méthode hybride « dictionnaire » et « réseau de neurones » sur un Extrait de l’Adversus Haereses d’Irénée de Lyon0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
Context Sensitive Neural Lemmatization with Lematus0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task0
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