Learnability refers to the ease or difficulty of learning a particular symbol set.

Formal Grammar

Two models of learning iterated dependencies

2012 •

Annie Foret

View PDF

Grammatical Inference: Algorithms and …

Learnability of Pregroup Grammars

2004 •

Annie Foret

View PDF

Electronic Notes in Theoretical Computer Science

< i> k</i>-Valued Non-Associative Lambek Grammars are Learnable from Function-Argument Structures

2003 •

Annie Foret

View PDF

Logic, Language, Information and Computation

Fully lexicalized pregroup grammars

2007 •

Annie Foret

View PDF

… of Parsing with Categorial Grammars, ESSLLI …

PPQ: a pregroup parser using majority composition

2009 •

Annie Foret

View PDF

Logic, Language, Information and Computation

Pregroup calculus as a logic functor

2007 •

Annie Foret

View PDF

Logical Aspects of Computational …

On dispersed and choice iteration in incrementally learnable dependency types

2011 •

Annie Foret

View PDF

Questions of Trust

2012 •

Jason Quinley

View PDF

Doing argumentation using theories in graph normal form

2012 •

Sjur Dyrkolbotn

View PDF

Hindi Derivational Morphological Analyzer

2012 •

Abhilash Inumella

View PDF

Driving semantic parsing from the world's response

2010 •

Dan Roth

View PDF

Smyle: A tool for synthesizing distributed models from scenarios by learning

2008 •

Joost-Pieter Katoen

View PDF

Abstraction for stochastic systems by Erlang’s method of stages

2008 •

Joost-Pieter Katoen

View PDF

On the performance of automata minimization algorithms

2007 •

Nelma Moreira

View PDF

Distributed asynchronous online learning for natural language processing

2010 •

Noah A. Smith

View PDF

Symposium on Language, Logic and Computation 12-16 September 1999, Batumi, Georgia 23-28 September 2001, Borjomi, Georgia

Marie Nilsenova

View PDF

Complexity theory for splicing systems

2007 •

Mitsunori Ogihara

View PDF

Information and Computation/information and Control

Variations on U-shaped learning

2006 •

Lorenzo Carlucci, Efim Kinber

View PDF

Logic and Theory of Algorithms, Fourth Conference on Computability in Europe (CiE 2008), Local Proceedings

A Sequent Calculus for Intersection and Union Logic

Yiorgos Stavrinos, Anastasia Veneti

View PDF

Iterative Learning from Positive Data and Negative Counterexamples

2006 •

was wie76

View PDF

Learning Rigid Lambek Grammars and Minimalist Grammars from Structured Sentences

Roberto Bonato

View PDF

Pragmatics and Cognition

How does the Faculty of Language Relate to Rules, Axioms and Constraints?

Prakash Mondal

View PDF

A Grammatical Inference Approach to Language-Based Anomaly Detection in XML

2013 •

Harald Lampesberger

View PDF

Named Entity Recognition for User-Generated Content

Sarah Schulz

View PDF

Logical Methods in Computer Science

Abstract GSOS Rules and a Modular Treatment of Recursive Definitions

2013 •

Lawrence Moss

View PDF

Proceedings of the 48th Annual Meeting of the …

String extension learning

2010 •

Jeffrey Heinz

View PDF

IEEE Transactions on Automatic Control

Adaptive Symbolic Control for Finite-State Transition Systems With Grammatical Inference

2000 •

Jeffrey Heinz, Jie Fu

View PDF

Interval temporal logics

Angelo Montanari

View PDF

Exponential Decay in Quantum Mechanics

Konstantin Makarov

View PDF

Theoretical Computer Science

On families of categorial grammars of bounded value, their learnability and related complexity questions

2012 •

Henning Fernau

View PDF

Proceedings of Theorietag Automaten und Formale Sprachen 2009, Technical Report 2009/03 of the University Halle-Wittenberg Institute of Computer Science

Complexity of Consistency in Categorial Grammars

2009 •

Henning Fernau

View PDF

Formal and Empirical Grammatical Inference

Jeffrey Heinz

View PDF

Inspecting the structural biases of dependency parsing algorithms

2010 •

Michael Elhadad

View PDF

Syntactic and semantic structure for opinion expression detection

Alessandro Moschitti

View PDF

Machine Learning

Learning figures with the Hausdorff metric by fractals—towards computable binary classification

2013 •

Mahito Sugiyama

View PDF

RAIRO - Theoretical Informatics and Applications

Learning tree languages from text

2007 •

Henning Fernau

View PDF

Investigating Lexical Substitution Scoring for Subtitle Generation

2006 •

Mikaela Keller, Oren Glickman

View PDF

On the Solvability of Inductive Problems: A Study in Epistemic Topology

2015 •

Sonja Smets

View PDF

Monographs in Theoretical Computer Science

Weighted Tree Automata and Tree Transducers

2009 •

Manfred Droste, Kuich Werner

View PDF

Identifying minimalist languages from dependency structures

2002 •

Edward Stabler

View PDF

What make language easy to learn?

Specifically, languages with more regular, compositional, and transparent structures are generally considered to be easier to learn by both children and adults when compared to languages with opaque and irregular structures (DeKeyser, 2005; Dressler, 2003, Dressler, 2010; Hengeveld and Leufkens, 2018; Slobin, 1985).
Students learn language as they use it to communicate their thoughts, feelings, and experiences, establish relationships with family members and friends, and strive to make sense and order of their world. They may come to school speaking more than one language, or learn another language in school.

How do you systematically learn a language?

Table of contents.
Speak From Day One..
Create a “Home Immersion” Situation..
Use the Best Language Learning Apps to Learn a Language Fast..
Try the Science of Flashcards..
Use Context to Learn Words the Natural Way..
Read a Lot..
Take a New Approach to Grammar..
Keep the Motivation Up (With These Techniques).

How does social closeness communication differ from social etiquette communication?

Social closeness focuses on the communication interaction and the development of that relationship where as social etiquette focuses on the politeness in conversation. An example of social closeness consists of greeting a fellow peer in class whereas social etiquette consists of saying "please" and "thank you."