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 distaInfinitesimal 发表于 2025-3-23 17:54:25
http://reply.papertrans.cn/17/1606/160580/160580_12.pngGET 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 ArGraves’-disease 发表于 2025-3-24 04:56:36
http://reply.papertrans.cn/17/1606/160580/160580_15.png喷油井 发表于 2025-3-24 09:46:46
http://reply.papertrans.cn/17/1606/160580/160580_16.png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
http://reply.papertrans.cn/17/1606/160580/160580_18.png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.CoversRobust 发表于 2025-3-25 03:15:25
Text, Speech and Language Technologyhttp://image.papertrans.cn/b/image/160580.jpg