Hadis tarihi kitaplarında Osmanlı, üzerinde durulmayan dönemlerden birisidir. Sebepleri arasında Osmanlı’da özgün çalışma yapılmadığı iddiası ve çoğu eserin yazma hâlinde olması zikredilebilir. Oysa olup olmadığının tespit edilebilmesi için öncelikle hâlindeki eserlerin muhtevaları analiz edilmelidir. Böylece hadis eğitimi alanlarında fikir yürütülebilir öne çıkan yönleri ya da eksikleri ortaya...

for dissemination) This document describes the Gloss infrastructure supporting implementation of location-aware services. The document is in two part. The first part describes software architecture for the smart space. As described in D8, a local architecture provides a framework for constructing Gloss applications, termed assemblies, that run on individual physical nodes, whereas a global arch...

WordNet [4] is the lexical database for English language. A synset is a WordNet structure for storing senses of the words. Synset contains a set of synonym words and their brief description called gloss. For example, well, wellspring and fountainhead have the same meaning according to WordNet, so these three words are grouped in to one synset which is explained by a gloss "an abundant source". ...

In this paper, we introduce a WordNetbased measure of semantic relatedness by combining the structure and content of WordNet with co–occurrence information derived from raw text. We use the co–occurrence information along with the WordNet definitions to build gloss vectors corresponding to each concept in WordNet. Numeric scores of relatedness are assigned to a pair of concepts by measuring the...

In recent years there has been a growing interest to incorporate hypertext glosses into L2 reading materials and accordingly, it has provoked researchers to uncover to what extent and under which moderator variables a specific type of gloss yields more effective outcomes than other types of glossing. The present meta-analysis attempts to examine the magnitude of the effect of different gloss ty...

We present a simple knowledge-based WSD method that uses word and sense embeddings to compute the similarity between the gloss of a sense and the context of the word. Our method is inspired by the Lesk algorithm as it exploits both the context of the words and the definitions of the senses. It only requires large unlabeled corpora and a sense inventory such as WordNet, and therefore does not re...