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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 91100 of 351 papers

TitleStatusHype
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian0
Development of email classifier in Brazilian Portuguese using feature selection for automatic response0
Development of a rule-based lemmatization algorithm through Finite State Machine for Uzbek language0
Automatic Translation of English Text to Indian Sign Language Synthetic Animations0
An efficient language independent toolkit for complete morphological disambiguation0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?0
Diachronic Parsing of Pre-Standard Irish0
Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis0
Developing New Linguistic Resources and Tools for the Galician Language0
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