Parsed Early English Books Online - Text Creation Partnership

Item Name: Parsed Early English Books Online - Text Creation Partnership
Author(s): Seth Kulick, Neville Ryant, Beatrice Santorini
LDC Catalog No.: LDC2026T09
ISLRN: 571-055-193-074-3
DOI: https://doi.org/10.35111/4435-xd71
Release Date: August 17, 2026
Member Year(s): 2026
DCMI Type(s): Software, Text
Data Source(s): fiction, non-fiction, religious texts, varied
Application(s): historical linguistics, machine learning, parsing, part of speech tagging
Language(s): English, Middle English (1100-1500)
Language ID(s): eng, enm
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2026T09 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Kulick, Seth, Neville Ryant, and Beatrice Santorini. Parsed Early English Books Online - Text Creation Partnership LDC2026T09. Web Download. Philadelphia: Linguistic Data Consortium, 2026.
Related Works: View

Introduction

Parsed Early English Books Online - Text Creation Partnership (EEBO-TCP) was developed by the Linguistic Data Consortium. It is a part-of-speech tagged and syntactically parsed version of the EEBO-TCP collection of Early Modern English texts. The corpus consists of 59,433 texts dating primarily from 1600-1700, with a smaller number of texts from earlier and later periods.

Parsed EEBO-TCP was developed to support research in historical linguistics, the study of English syntax and language change, and natural language processing of historical texts.

Data

The corpus contains 48.6 million parsed sentences (trees) comprising more than 1.5 billion tokens. The parses were produced automatically using a parser trained on the Penn Helsinki Parsed Corpus of Early Modern English, part of the Penn Parsed Corpora of Historical English (LDC2020T16). The automatically generated parses were not manually reviewed.

Parsed EEBO-TCP includes the CorpusSearch 2 program and associated documentation. This tool allows users to search the data for syntactic structure, word sequences and words. An alternative version of CorpusSearch 2 for use on very large corpora is also included in this release.

Text is provided in two formats: part-of-speech tagged text is presented as .pos files, and syntactically parsed text is presented as Penn Treebank-formatted .psd files. All text is UTF-8 encoded.

Samples

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