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

Synthetic Biology02:55

Synthetic Biology

4.9K
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...
4.9K
Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

9.8K
In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
9.8K
Structure of Conjugated Dienes01:16

Structure of Conjugated Dienes

5.6K
Introduction
Conjugated dienes are compounds characterized by the presence of alternating double and single bonds. In a conjugated system like 1,3-butadiene, the unhybridized 2p orbital on each carbon overlaps continuously, allowing the π electrons to be delocalized across the entire molecule. In contrast, this type of overlap does not occur in cumulated and isolated dienes, such as 2,3-pentadiene and 1,4-pentadiene, respectively. Instead, the π electrons remain localized between the double...
5.6K
Components of Language01:24

Components of Language

376
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
376
Storage01:23

Storage

128
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
128
Language Development01:22

Language Development

440
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
440

You might also read

Related Articles

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

Sort by
Same author

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not).

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc·2026
Same author

A Social Identity Theory of Digital Identity.

Perspectives on psychological science : a journal of the Association for Psychological Science·2026
Same author

Group? What group? A computational model of the group needs a psychology of "us" (not "them").

The Behavioral and brain sciences·2022
Same author

Personal and complex: The needs and experiences related to technology use for people living with dementia.

Dementia (London, England)·2022
Same author

An Information Theoretic Approach to Symbolic Learning in Synthetic Languages.

Entropy (Basel, Switzerland)·2022
Same author

Convergent cross sorting for estimating dynamic coupling.

Scientific reports·2021
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

6.1K

Estimating Sentence-like Structure in Synthetic Languages Using Information Topology.

Andrew D Back1, Janet Wiles1

  • 1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.

Entropy (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces information topology to identify sentence-like structures in synthetic languages without prior linguistic knowledge. The novel approach models information flow, offering potential for natural language processing advancements.

Keywords:
information-theoretic modelssentence boundary estimationsentence-like unitssynthetic language

More Related Videos

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.4K
A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.3K

Related Experiment Videos

Last Updated: Sep 3, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

6.1K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.4K
A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.3K

Area of Science:

  • Computational Linguistics
  • Information Theory
  • Natural Language Processing

Background:

  • Sentence boundary detection is crucial for natural language understanding.
  • Existing methods often require a priori linguistic knowledge, limiting their application to synthetic languages.
  • Synthetic languages lack pre-existing language models, posing challenges for traditional natural language processing (NLP) techniques.

Purpose of the Study:

  • To explore methods for discovering sentence-like units in synthetic language sequences without relying on linguistic or semantic models.
  • To introduce a novel information-theoretic approach for analyzing information flow in sequential data.
  • To develop a conceptual framework for estimating structure and natural limits in language sequences devoid of semantic understanding.

Main Methods:

  • Extension of information geometry principles.
  • Introduction of 'information topology' to model incremental information flow.
  • Utilizing Wasserstein-1 distance and probabilistic symbolic language input.
  • Development of a new information-theoretic global performance metric.

Main Results:

  • Demonstrated a conceptual method for identifying natural 'chunks' in synthetic language sequences.
  • Proposed information topology as a tool for analyzing information flow without semantic knowledge.
  • Introduced a novel performance metric for evaluating information-theoretic models.
  • Showcased potential utility in human language corpora analysis.

Conclusions:

  • Information topology offers a novel perspective for analyzing language structure without semantic input.
  • The methodology provides a conceptual framework for understanding information flow in sequences.
  • While not a direct replacement for sentence boundary detection, it shows promise for complex language disambiguation and NLP improvements.