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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 241250 of 351 papers

TitleStatusHype
The Power of Language Music: Arabic Lemmatization through Patterns0
The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies0
The SETimes.HR Linguistically Annotated Corpus of Croatian0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection0
The SYN-series corpora of written Czech0
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners0
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe0
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation0
Tolerant BLEU: a Submission to the WMT14 Metrics Task0
Towards an automatic identification of chiasmus of words (Vers une identification automatique du chiasme de mots) [in French]0
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