Efficient Morphological Parsing with a Weighted Finite State Transducer (Report) Efficient Morphological Parsing with a Weighted Finite State Transducer (Report)

Efficient Morphological Parsing with a Weighted Finite State Transducer (Report‪)‬

Informatica 2009, March, 33, 1

Informatica
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Publisher Description

This article describes a highly optimized algorithm and implementation of a deterministic weighted finite state transducer for morphological analysis. We show how various functionalities can be integrated into one machine, without sacrificing performance or flexibility, and and still maintaining applicability to various languages. The annotation schema used in this implementation maximizes interoperability and compatibility by using a direct mapping of tags from the GOLD ontology of linguistic concepts and features, providing possible extended processing scenarios. Keywords: weighted finite state transducer, morphological analysis, croatian

GENRE
Business & Personal Finance
RELEASED
2009
March 1
LANGUAGE
EN
English
LENGTH
18
Pages
PUBLISHER
Slovenian Society Informatika
SELLER
The Gale Group, Inc., a Delaware corporation and an affiliate of Cengage Learning, Inc.
SIZE
261
KB

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