Integrating Linguistic Resources: The American National Corpus Model

By Nancy Ide, Keith Suderman. 2006

33 citations recorded by the source corpus.

This paper describes the architecture of the American National Corpus and the design decisions we have made in order to make the corpus easy to use with a variety of existing tools with varying functionality, and to allow for layering multiple annotations over the data. The overall goal of the ANC project is to provide an open linguistic infrastructure for American English, consisting of as many self-generated or contributed annotations of the data as possible together with derived. The availability of a wide variety of annotations for the same data and in a common format should significantly simplify the processing required to extract annotations from different sources and enable use of the ANC and its annotations with off-the-shelf software.

Subfields: Artificial Intelligence, Language and Linguistics, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Language and Linguistics

In Natural Language Processing

Citations in the corpus

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences (2018, background): “Articles on society, law and justice (Ide and Suderman, 2006) [91] 4.”
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? (2021, methodology): “In this writing task, we provide a context passage drawn from the Open American National Corpus (Ide and Suderman, 2006).”
Word sense disambiguation: A survey (2009, background): “Integrating linguistic resources: The American National Corpus model.”