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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وصف الناشر

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

النوع
تمويل شركات وأفراد
تاريخ النشر
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١ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
١٨
الناشر
Slovenian Society Informatika
البائع
The Gale Group, Inc., a Delaware corporation and an affiliate of Cengage Learning, Inc.
الحجم
٢٦١
ك.ب.

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