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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 231240 of 351 papers

TitleStatusHype
Mining wisdom0
Modernizing historical Slovene words with character-based SMT0
Morphological Analysis and Disambiguation for Dialectal Arabic0
Morphological Analysis Corpus Construction of Uyghur0
Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model0
Morphological Reinflection via Discriminative String Transduction0
Moving TIGER beyond Sentence-Level0
Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning0
Multilingwis ^2 -- Explore Your Parallel Corpus0
Multiple Many-to-Many Sequence Alignment for Combining String-Valued Variables: A G2P Experiment0
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