Genetics 发表于 2025-3-23 10:09:53

https://doi.org/10.1007/978-3-662-34567-2 transduction using different techniques, based on the use of stochastic transducers, trained with the Expectation-Maximisation algorithm. A basic method for supervised learning using the transducers is discussed and then a more advanced technique using a memory-based learning technique with a dista

Infinitesimal 发表于 2025-3-23 17:54:25

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GET 发表于 2025-3-23 21:58:06

https://doi.org/10.1007/978-3-662-30470-9wever, that a full solution to this problem is not required for effective information retrieval. Light stemming allows remarkably good information retrieval without providing correct morphological analyses. We developed several light stemmers for Arabic, and assessed their effectiveness for informat

舰旗 发表于 2025-3-24 02:09:27

https://doi.org/10.1007/978-3-662-30470-9Retrieval (IR). The adaptation resulted in the development of Sebawai, an shallow Arabic morphological analyzer, and Al-Stem, an Arabic light stemmer. Both were used to produce Arabic index terms for Arabic IR experimentation. Sebawai is concerned with generating possible roots and stems of given Ar

Graves’-disease 发表于 2025-3-24 04:56:36

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喷油井 发表于 2025-3-24 09:46:46

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摄取 发表于 2025-3-24 13:25:53

https://doi.org/10.1007/978-1-4020-6046-5grammar; information; language; linguistics; machine; machine translation; morphology; natural language pro

丧失 发表于 2025-3-24 15:45:25

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压舱物 发表于 2025-3-24 22:02:30

Abdelhadi Soudi,Antal van den Bosch,Günter NeumannThe first comprehensive overview of computational approaches to Arabic morphology.A showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics.Covers

Robust 发表于 2025-3-25 03:15:25

Text, Speech and Language Technologyhttp://image.papertrans.cn/b/image/160580.jpg
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查看完整版本: Titlebook: Arabic Computational Morphology; Knowledge-based and Abdelhadi Soudi,Antal van den Bosch,Günter Neumann Book 2007 Springer Science+Busines