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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 276–300 of 351 papers

TitleStatusHype
Very Large-Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation—0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin—0
``Vreselijk mooi!'' (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.—0
Weighting Finite-State Transductions With Neural Context—0
Word-Formation Network for Czech—0
WSD for n-best reranking and local language modeling in SMT—0
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer—0
ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus—0
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus—0
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations—0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis—0
ACE-2005-PT: Corpus for Event Extraction in Portuguese—0
A Comparative Study of Hybrid Models in Health Misinformation Text Classification—0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?—0
Adapting and evaluating a generic term extraction tool—0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper—0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora—0
AGILe: The First Lemmatizer for Ancient Greek Inscriptions—0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
A Morphological Analyzer for Shipibo-Konibo—0
A Morphologically Annotated Corpus of Emirati Arabic—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
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