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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출판사 설명

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

장르
비즈니스 및 개인 금융
출시일
2009년
3월 1일
언어
EN
영어
길이
18
페이지
출판사
Slovenian Society Informatika
판매자
The Gale Group, Inc., a Delaware corporation and an affiliate of Cengage Learning, Inc.
크기
261
KB

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