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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 201210 of 351 papers

TitleStatusHype
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models0
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity0
Exploring Properties of Intralingual and Interlingual Association Measures Visually0
Services for text simplification and analysis0
Multilingwis ^2 -- Explore Your Parallel Corpus0
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text0
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages0
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