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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 101–150 of 351 papers

TitleStatusHype
An efficient language independent toolkit for complete morphological disambiguation—0
Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P—0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?—0
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification—0
eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey—0
E-law Module Supporting Lawyers in the Process of Knowledge Discovery from Legal Documents—0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis—0
EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus—0
End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge—0
English-French Document Alignment Based on Keywords and Statistical Translation—0
Enhancing Lemmatization for Mongolian and its Application to Statistical Machine Translation—0
Developing New Linguistic Resources and Tools for the Galician Language—0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature—0
ENIAM: Categorial Syntactic-Semantic Parser for Polish—0
Enrichir et raisonner sur des espaces s\'emantiques pour l'attribution de mots-cl\'es (Enriching and reasoning on semantic spaces for keyword extraction) [in French]—0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing—0
Evaluating Diversity of Multiword Expressions in Annotated Text—0
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage—0
Describing Language Variation in the Colophons of Armenian Manuscripts—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
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
Evaluation of the Accuracy of the BGLemmatizer—0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian—0
Exploring Properties of Intralingual and Interlingual Association Measures Visually—0
Automatic Categorization of Tagalog Documents Using Support Vector Machines—0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages—0
An annotated English child language database—0
Dealing with word-internal modification and spelling variation in data-driven lemmatization—0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis—0
Data-Driven Morphological Analysis for Uralic Languages—0
Automated Identification of Disaster News For Crisis Management Using Machine Learning—0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
Authorship Attribution Based on Life-Like Network Automata—0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking—0
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation—0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language—0
Analyzing and Aligning German compound nouns—0
Attention-free encoder decoder for morphological processing—0
Cross-Language Plagiarism Detection Methods—0
CroDeriV: a new resource for processing Croatian morphology—0
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language—0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper—0
A Comparative Study of Hybrid Models in Health Misinformation Text Classification—0
Counting What Counts: Decompounding for Keyphrase Extraction—0
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic—0
CoRoLa --- The Reference Corpus of Contemporary Romanian Language—0
Coreference Resolution in FreeLing 4.0—0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity—0
Analysing cross-lingual transfer in lemmatisation for Indian languages—0
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