# Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora

arXiv: https://arxiv.org/abs/2305.10848 · HTML: https://mlsanity.com/paper/2305.10848/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 1 references that are in the map.
- First posted on arXiv 18 May 2023.

## Builds on (most cited first, 1 of 1)

- [Morphological Analyzer and Generator for Russian and Ukrainian Languages](https://mlsanity.com/paper/1503.07283/) (2015)

## Abstract (arXiv)

In this paper, we unveil a groundbreaking method to amplify full-text search lemmatization, utilizing the OpenCorpora dataset and a bespoke paradigm retrieval algorithm. Our primary aim is to streamline the extraction of a word's primary form or lemma - a crucial factor in full-text search. Additionally, we propose a compact dictionary storage strategy, significantly boosting the speed and precision of lemma retrieval.