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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
RACAI's Natural Language Processing pipeline for Universal Dependencies0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
Recent advancements in computational morphology : A comprehensive survey0
Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing0
Robustness of sentence length measures in written texts0
ROMBAC: The Romanian Balanced Annotated Corpus0
Rule-based Automatic Multi-word Term Extraction and Lemmatization0
SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media0
SentiArabic: A Sentiment Analyzer for Standard Arabic0
Services for text simplification and analysis0
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