Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

3.1K
3.1K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.0K
3.0K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K
Translation01:31

Translation

148.7K
Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
148.7K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

315
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
315
Polymers02:34

Polymers

22.7K
22.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification of multiple transcription factor genes potentially involved in the development of electrosensory <i>versus</i> mechanosensory lateral line organs.

Frontiers in cell and developmental biology·2024
Same author

Transcriptional landscape of oncogene-induced senescence: a machine learning-based meta-analytic approach.

Ageing research reviews·2023
Same author

HumanMine: advanced data searching, analysis and cross-species comparison.

Database : the journal of biological databases and curation·2022
Same author

Insights into olfactory ensheathing cell development from a laser-microdissection and transcriptome-profiling approach.

Glia·2020
Same author

Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology.

Scientific reports·2020
Same author

The InterMine Android app: Cross-organism genomic data in your pocket.

F1000Research·2019

Related Experiment Video

Updated: Oct 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

752

Translating synthetic natural language to database queries with a polyglot deep learning framework.

Adrián Bazaga1, Nupur Gunwant1, Gos Micklem2

  • 1Department of Genetics, University of Cambridge, Cambridge, UK.

Scientific Reports
|September 17, 2021
PubMed
Summary

Polyglotter is a machine learning framework that translates natural language searches into database queries. This system requires no manual data annotation, making complex databases more accessible to non-experts.

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

758
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

88

Related Experiment Videos

Last Updated: Oct 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

752
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

758
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

88

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Database Management

Background:

  • Increasing database size and complexity create barriers for non-expert users.
  • Research settings often involve multiple, diverse databases, exacerbating accessibility issues.
  • Traditional query languages and interfaces pose challenges for users unfamiliar with database structures.

Purpose of the Study:

  • To introduce Polyglotter, a machine learning framework for natural language to database query mapping.
  • To develop a generalizable solution applicable across multiple domains without manual data annotation.
  • To enhance database accessibility for a wider range of users, including non-experts.

Main Methods:

  • Developed a machine learning framework (Polyglotter) for natural language to database query translation.
  • Ensured the framework is domain-agnostic and does not require manually annotated training data.
  • Designed Polyglotter to support multiple database engines and query languages (e.g., SQL, Cypher) and multi-class queries.

Main Results:

  • Polyglotter demonstrates good performance on both small-scale (toy) and large-scale (real) databases.
  • The framework achieved positive results on the human-annotated WikiSQL query dataset.
  • The system effectively maps natural language queries to various database query languages.

Conclusions:

  • Polyglotter offers a general and adaptable solution for making database resources more accessible.
  • The framework's ability to work without manual annotation significantly lowers the barrier to entry for domain adaptation.
  • Polyglotter has the potential to empower database maintainers by improving user access to their data resources.