The York-Helsinki parsed corpus of Old English poetry (YCOEP)

Title

The York-Helsinki parsed corpus of Old English poetry (YCOEP) [Electronic resource]

Editor

Pintzuk, Susan (ed.); Plug, Leendert (ed.)

Availability

Use of this resource is restricted in some manner. Usually this means that it is available for non-commercial use only with prior permission of the depositor and on condition that this header is included in its entirety with any copy distributed.

Download: click to apply for permission to download as required by the licensing restrictions (this will open a form on another page)

Languages

English, Old (ca. 450-1100)

Editorial Practice

Encoding format: Plain Text

OTA keywords

Linguistic corpora
Anthologies

LC keywords

Linguistics -- United Kingdom -- 20th century
Computational linguistics

Extent
  • designation: Text data
  • size: (14 files : ca. 2.35 MB)
Source Description

The York-Helsinki parsed corpus of Old English poetry [University of York. Deparment of Language and Linguistic Science] [York]: s.d

Note: The York-Helsinki corpus of Old English poetry is a selection of poetic texts from the Old English section of the Helsinki corpus of English texts, annotated to facilitate searches on syntactic structure and lexical items. It is intended for the use of students and scholars of the history of the English language. The corpus contains 71,490 words of Old English text; the samples from the longer texts are 4,000 to 17,000 words in length. The texts represent a range of dates of composition and authors. The texts are syntactically and morphologically annotated. The size of the corpus is approximately 2.5 megabytes. The syntactic annotations enable the use to pose and answer questions about word order, consituent order, abstract structure, and syntactic and morphological characteristics of the texts in the corpus. The annotations are general-purpose and as theory-neutral as possible, while still incorporationg the insights of modern linguistic theory; they can be used by scholars with widely varying research interests. The best way to search the corpus is by using CorpusSearch, a search engline developed specifically for corpora annotated in this format. For a description of Corpus Search see: http://www.ling.upenn.edu/mideng/ppcme2dir/corpussearch.html.