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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 281290 of 351 papers

TitleStatusHype
WSD for n-best reranking and local language modeling in SMT0
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer0
ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus0
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus0
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis0
ACE-2005-PT: Corpus for Event Extraction in Portuguese0
A Comparative Study of Hybrid Models in Health Misinformation Text Classification0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?0
Adapting and evaluating a generic term extraction tool0
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