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Sentence Parsing for Afan Oromo using Supervised Learning Techniques
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Sentence Parsing for Afan Oromo using Supervised Learning Techniques
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Sentence Parsing for Afan Oromo using Supervised Learning Techniques

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احصل عليه خلال 18 يوليو
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رقم الكتاب المعياري الدولي 139783639197693
الكاتبDiriba Megersa Degefa
وصف الكتابNLP should not be considered as an isolated system and characterizes its performance mainly with respect to a gold standard result. Rather its performance is determined by its use in a more complex setting, either as an embedded system or serving a precise function for a human user. The area of NLP is broad and wide in scope. Hence, this book highlights syntactic disambiguation and parsing using statistical methods. It includes morphological analyzer and part of speech tagger drawn from computational linguistics and developed using machine learning techniques. I hope it will contribute something towards the efforts of developing a full-fledged NLP system that can be used in languages such as Oromo (most spoken language in Africa) on which the book is based.
عدد الصفحات124 pages
رقم الكتاب المعياري الدولي 103639197690
اللغةEnglish
تاريخ النشر20 October 2009
مجموع السلة  227.00
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Sentence Parsing for Afan Oromo using Supervised Learning Techniques
Sentence Parsing for Afan Oromo using Supervised Learning Techniques
227.00
227
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