Paper: 100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask*

ACL ID N12-4001
Title 100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask*
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Tutorial Abstracts
Year 2012
Authors

Many NLP tasks have at their core a subtask of extracting the dependencies---who did what to whom---from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this tutorial is to present in a succinct and accessible fashion information about the structure of human languages that can be useful in creating more linguis...