Change search
ReferencesLink to record
Permanent link

Direct link
Assembling a Balanced Corpus from the Internet
Number of Authors: 3
1998 (English)Conference paper (Refereed)
Abstract [en]

For empirically oriented textual research it is crucial to have materials available for extraction of statistics, training probabilistic algorithms, and testing hypotheses about language and language processing in general. <p> In recent years, the awareness that text is not just text, but that texts comes in several forms, has spread from more theoretical and literary subfields of linguistics to the more practically oriented information retrieval and natural language processing fields. As a consequence, several test collections available for research explicitly attempt to cover many or most well-established textual <i>genres</i>, or <i>functional styles</i> in well-balanced proportions (Francis and Kucera, 1982; K&auml;llgren, 1990). <p> The creation of such a collection is a complex matter in several respects. Our reseach area is to build retrieval tools for the Internet, and thus, for our purposes, the choice of genres to include is one of the more central problems: there is no well-established genre palette for Internet materials. To find materials to experiment with, we need to create them in a form suitable for our purposes. This is a double edged problem, involving both vaguely expressed user expectations and establishing categories using large numbers of features which taken singly have low predictive and explanatory power. This paper gives an outline of the methodology we use for determining which genres to include.

Place, publisher, year, edition, pages
1998, 5.
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-13672OAI: diva2:1034954
11th Nordic Conference of Computational Linguistics
Available from: 2016-10-13 Created: 2016-10-13

Open Access in DiVA

fulltext(58 kB)1 downloads
File information
File name FULLTEXT01.gzFile size 58 kBChecksum SHA-512
Type fulltextMimetype application/x-gzip

Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link