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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 181190 of 351 papers

TitleStatusHype
Non-Standard Words as Features for Text Categorization0
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)0
NRC Russian-English Machine Translation System for WMT 20160
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions0
On the Role of Morphological Information for Contextual Lemmatization0
Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition0
Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality0
Overview of the EvaLatin 2020 Evaluation Campaign0
Overview of the EvaLatin 2022 Evaluation Campaign0
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention0
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