Easy First Dependency Parsing of Modern Hebrew

Yoav Goldberg; Michael Elhadad

Easy First Dependency Parsing of Modern Hebrew

Yoav Goldberg, Michael Elhadad

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

19 Scopus citations

Abstract

We investigate the performance of an easy-first, non-directional dependency parser on the Hebrew Dependency treebank. We show that with a basic feature set the greedy parser's accuracy is on a par with that of a first-order globally optimized MST parser. The addition of morphological-agreement feature improves the parsing accuracy, making it on-par with a second-order globally optimized MST parser. The improvement due to the morphological agreement information is persistent both when gold-standard and automatically-induced morphological information is used.

Original language	English
Pages	103-107
Number of pages	5
State	Published - 1 Jan 2010
Event	1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010 - Los Angeles, United States Duration: 5 Jun 2010 → …

Conference

Conference	1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010
Country/Territory	United States
City	Los Angeles
Period	5/06/10 → …

ASJC Scopus subject areas

Linguistics and Language
Language and Linguistics
Computer Science Applications

Cite this

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title = "Easy First Dependency Parsing of Modern Hebrew",

abstract = "We investigate the performance of an easy-first, non-directional dependency parser on the Hebrew Dependency treebank. We show that with a basic feature set the greedy parser's accuracy is on a par with that of a first-order globally optimized MST parser. The addition of morphological-agreement feature improves the parsing accuracy, making it on-par with a second-order globally optimized MST parser. The improvement due to the morphological agreement information is persistent both when gold-standard and automatically-induced morphological information is used.",

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N2 - We investigate the performance of an easy-first, non-directional dependency parser on the Hebrew Dependency treebank. We show that with a basic feature set the greedy parser's accuracy is on a par with that of a first-order globally optimized MST parser. The addition of morphological-agreement feature improves the parsing accuracy, making it on-par with a second-order globally optimized MST parser. The improvement due to the morphological agreement information is persistent both when gold-standard and automatically-induced morphological information is used.

AB - We investigate the performance of an easy-first, non-directional dependency parser on the Hebrew Dependency treebank. We show that with a basic feature set the greedy parser's accuracy is on a par with that of a first-order globally optimized MST parser. The addition of morphological-agreement feature improves the parsing accuracy, making it on-par with a second-order globally optimized MST parser. The improvement due to the morphological agreement information is persistent both when gold-standard and automatically-induced morphological information is used.

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M3 - Paper

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T2 - 1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010

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ER -

Easy First Dependency Parsing of Modern Hebrew

Abstract

Conference

ASJC Scopus subject areas

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