We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Becoming a Polyglot: Lessons from Natural Language Learning

Formale Metadaten

Titel
Becoming a Polyglot: Lessons from Natural Language Learning
Serientitel
Teil
35
Anzahl der Teile
48
Autor
Mitwirkende
Lizenz
CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
As a trained linguist and former university language instructor, people often assume that my natural language* (spoken, signed, or written) learning analysis background made learning to code easier for me. They might say something like “That makes sense, they’re languages, right? They have syntax.” These casual comments seem true on the surface when talking about parts of speech and variable types. But once you dig deeper, it becomes clear that there are far more differences than similarities between these types of languages despite the shared name. However, many skills and methods I have utilized in learning languages and teaching languages as an adult to adults have served me well as a developer. This talk first addresses key points of divergence between learning a natural language and a programming language. Perhaps most importantly, natural languages are meant for communicating with people and programming languages are meant for giving a computer directions. However, many areas of overlap exist in learning and perfecting these skills; these shared aspects of learning are the primary focus of this talk. (* And, yes, that’s the same ‘natural language’ as in ‘natural language processing.’)