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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 221230 of 351 papers

TitleStatusHype
Lexical Correction of Polish Twitter Political Data0
Lexicon-assisted tagging and lemmatization in Latin: A comparison of six taggers and two lemmatization methods0
Linguistic Analysis Processing Line for Bulgarian0
Linguistic change and historical periodization of Old Literary Finnish0
Local String Transduction as Sequence Labeling0
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter0
Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian0
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic0
Material Philology Meets Digital Onomastic Lexicography: The NordiCon Database of Medieval Nordic Personal Names in Continental Sources0
Merging Data Resources for Inflectional and Derivational Morphology in Czech0
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