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Titlebook: Natural Language Processing of Semitic Languages; Imed Zitouni Book 2014 Springer-Verlag Berlin Heidelberg 2014 Arabic, Hebrew, Syriac, Am

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Vittorio Castelli,Imed Zitounit selbstverständlich nicht nur die Sekretärin ihrem Vorgesetzten, sondern im besonderen den Vorgesetzten seiner Sekretärin gegen­ über. Erfolgreiche Zusammenarbeit setzt immer die Achtung und Anerkennung der Leistung des anderen voraus. Erfolg ist stets ein Triumph des Miteinander. So müßten eigentlich auch d978-3-409-19784-7978-3-663-07884-5
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Kareem Darwish structure whose basic characteristics will change little during the vertebrate phylogenesis. The evolution of the endocrine portion is apparently a bit slower for its histogenesis from the pancreatic duct cells and can still be observed in the selachians [.].
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Anaphora Resolutionto anaphora resolution and its effect on increasing system performance. In section 4, we discuss the process of anaphora resolution. In section 5 we present different approaches to resolving anaphora and we discuss previous work in the field. Section 6 discusses the recent work in anaphora resolutio
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Automatic Speech Recognitionlate that the vast majority of the issues we address here will completely carry over to other Semitic languages. We have tested the approaches discussed in this chapter only on Arabic, as that is the Semitic language with the most resources. Our experimental results demonstrate that such language-in
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Book 2014research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers
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Relation Extractionn extracting relations from semitic languages, and discuss the impact of the lact of diacritics as well as the challenges posed by complex morphology. Finally, we analyze in detail a specific system specifically trained to detect relations in Arabic text, and review its performance on the 2004 ACE relation detection task.
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Question Answeringmorphology languages. We also summarize the literature that has been published around this task and describe in more detail some recent research work that has been conducted to build Arabic QA systems.
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