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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 301–325 of 351 papers

TitleStatusHype
Cross-Language Plagiarism Detection Methods—0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language—0
Chimera -- Three Heads for English-to-Czech Translation—0
Factored Machine Translation Systems for Russian-English—0
Lemmatization and Morphosyntactic Tagging of Croatian and Serbian—0
Modernizing historical Slovene words with character-based SMT—0
UZH in BioNLP 2013—0
DKPro Similarity: An Open Source Framework for Text Similarity—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
Towards an automatic identification of chiasmus of words (Vers une identification automatique du chiasme de mots) [in French]—0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity—0
UBC\_UOS-TYPED: Regression for typed-similarity—0
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter—0
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)—0
SSA-UO: Unsupervised Sentiment Analysis in Twitter—0
KLUE-CORE: A regression model of semantic textual similarity—0
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation—0
Morphological Analysis and Disambiguation for Dialectal Arabic—0
Development of a Hindi LemmatizerCode0
Lexical Categories for Improved Parsing of Web Data—0
The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words—0
Enhancing Lemmatization for Mongolian and its Application to Statistical Machine Translation—0
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text SummarizationCode0
Statistical Parsing of Spanish and Data Driven Lemmatization—0
Handling Unknown Words in Arabic FST Morphology—0
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