A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books

Yoav Goldberg; Jon Orwant

A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books

Yoav Goldberg, Jon Orwant

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

97 Scopus citations

Abstract

We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range of syntactic configurations. It also includes temporal information, facilitating new kinds of research into lexical semantics over time. This paper describes the dataset, the syntactic representation, and the kinds of information provided.

Original language	English
Title of host publication	*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
Publisher	Association for Computational Linguistics (ACL)
Pages	241-247
Number of pages	7
ISBN (Electronic)	9781937284480
State	Published - 1 Jan 2013
Externally published	Yes
Event	2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 - Atlanta, United States Duration: 13 Jun 2013 → 14 Jun 2013

Publication series

Name	*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
Volume	1

Conference

Conference	2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
Country/Territory	United States
City	Atlanta
Period	13/06/13 → 14/06/13

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Cite this

@inproceedings{8414841336a14180b501561c0c67aa4a,

title = "A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books",

abstract = "We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range of syntactic configurations. It also includes temporal information, facilitating new kinds of research into lexical semantics over time. This paper describes the dataset, the syntactic representation, and the kinds of information provided.",

author = "Yoav Goldberg and Jon Orwant",

note = "Publisher Copyright: c 2013 Association for Computational Linguistics; 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 ; Conference date: 13-06-2013 Through 14-06-2013",

year = "2013",

month = jan,

day = "1",

language = "English",

series = "*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics",

publisher = "Association for Computational Linguistics (ACL)",

pages = "241--247",

booktitle = "*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics",

address = "United States",

}

Goldberg, Y & Orwant, J 2013, A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books. in *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics. *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, vol. 1, Association for Computational Linguistics (ACL), pp. 241-247, 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013, Atlanta, United States, 13/06/13.

A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books. / Goldberg, Yoav; Orwant, Jon.
*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics (ACL), 2013. p. 241-247 (*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Goldberg, Yoav

AU - Orwant, Jon

PY - 2013/1/1

Y1 - 2013/1/1

N2 - We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range of syntactic configurations. It also includes temporal information, facilitating new kinds of research into lexical semantics over time. This paper describes the dataset, the syntactic representation, and the kinds of information provided.

AB - We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range of syntactic configurations. It also includes temporal information, facilitating new kinds of research into lexical semantics over time. This paper describes the dataset, the syntactic representation, and the kinds of information provided.

UR - https://www.scopus.com/pages/publications/84943742382

M3 - Conference contribution

AN - SCOPUS:84943742382

T3 - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

SP - 241

EP - 247

BT - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

PB - Association for Computational Linguistics (ACL)

T2 - 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013

Y2 - 13 June 2013 through 14 June 2013

ER -

A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books

Abstract

Publication series

Conference

ASJC Scopus subject areas

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