Fast yet rich morphological analysis

Mohamed Altantawy; Nizar Habash; Owen Rambow

Fast yet rich morphological analysis

Mohamed Altantawy, Nizar Habash, Owen Rambow

Computer Science

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

Abstract

Implementations of models of morphologically rich languages such as Arabic typically achieve speed and small memory footprint at the cost of abandoning linguistically abstract and elegant representations. We present a solution to modeling rich morphologies that is both fast and based on linguistically rich representations. In our approach, we convert a linguistically complex and abstract implementation of Arabic verbs in finite-state machinery into a simple precompiled tabular representation.

Original language	English (US)
Pages	116-124
Number of pages	9
State	Published - 2011
Event	9th International Workshop Finite State Methods and Natural Language Processing, FSMNLP 2011 - Blois, France Duration: Jul 12 2011 → Jul 15 2011

Conference

Conference	9th International Workshop Finite State Methods and Natural Language Processing, FSMNLP 2011
Country/Territory	France
City	Blois
Period	7/12/11 → 7/15/11

ASJC Scopus subject areas

Computational Theory and Mathematics
Language and Linguistics
Linguistics and Language

Cite this

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title = "Fast yet rich morphological analysis",

abstract = "Implementations of models of morphologically rich languages such as Arabic typically achieve speed and small memory footprint at the cost of abandoning linguistically abstract and elegant representations. We present a solution to modeling rich morphologies that is both fast and based on linguistically rich representations. In our approach, we convert a linguistically complex and abstract implementation of Arabic verbs in finite-state machinery into a simple precompiled tabular representation.",

author = "Mohamed Altantawy and Nizar Habash and Owen Rambow",

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AU - Altantawy, Mohamed

AU - Habash, Nizar

AU - Rambow, Owen

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AB - Implementations of models of morphologically rich languages such as Arabic typically achieve speed and small memory footprint at the cost of abandoning linguistically abstract and elegant representations. We present a solution to modeling rich morphologies that is both fast and based on linguistically rich representations. In our approach, we convert a linguistically complex and abstract implementation of Arabic verbs in finite-state machinery into a simple precompiled tabular representation.

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M3 - Paper

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EP - 124

T2 - 9th International Workshop Finite State Methods and Natural Language Processing, FSMNLP 2011

Y2 - 12 July 2011 through 15 July 2011

ER -

Fast yet rich morphological analysis

Abstract

Conference

ASJC Scopus subject areas

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Cite this