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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 51–100 of 351 papers

TitleStatusHype
Evaluating Diversity of Multiword Expressions in Annotated Text—0
Knowledge Authoring with Factual EnglishCode0
Context based lemmatizer for Polish language—0
TArC: Tunisian Arabish Corpus First complete release—0
Stylistic Fingerprints, POS-tags and Inflected Languages: A Case Study in PolishCode0
Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection—0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions—0
An ELECTRA Model for Latin Token Tagging Tasks—0
Diachronic Parsing of Pre-Standard Irish—0
TArC: Tunisian Arabish Corpus, First complete release—0
Describing Language Variation in the Colophons of Armenian Manuscripts—0
ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus—0
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 Lyon—0
Overview of the EvaLatin 2022 Evaluation Campaign—0
Transformer-based Part-of-Speech Tagging and Lemmatization for Latin—0
Towards the Creation of a Diachronic Corpus for Italian: A Case Study on the GDLI Quotations—0
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations—0
The 2021 Urdu Fake News Detection Task using Supervised Machine Learning and Feature Combinations—0
Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset—0
End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge—0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies—0
Morphological Analysis Corpus Construction of Uyghur—0
Linguistic change and historical periodization of Old Literary Finnish—0
The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies—0
POS tagging, lemmatization and dependency parsing of West Frisian—0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis—0
Évaluation de méthodes et d’outils pour la lemmatisation automatique du français médiéval (Evaluation of methods and tools for automatic lemmatization in Old French)—0
How low is too low? A monolingual take on lemmatisation in Indian languages—0
Learning to Lemmatize in the Word Representation Space—0
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data—0
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions—0
Enhancing Sequence-to-Sequence Neural Lemmatization with External ResourcesCode0
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural NetworksCode0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task—0
The Role of Interpretable Patterns in Deep Learning for MorphologyCode0
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models—0
Analysing cross-lingual transfer in lemmatisation for Indian languages—0
Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing—0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking—0
LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows—0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task—0
Tagging and parsing of multidomain collectionsCode0
UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings—0
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphsCode0
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Neural Polysynthetic Language Modelling—0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment—0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian—0
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