In this paper, we present our in-progress research tasks for building lexical database of the verb valences in the Arabic Quran using FrameNet frames. We study the verbs in their context in the Quran, and compare that with matching frames and frame evoking verbs in the English FrameNet. We analyze the gaps and make appropriate amendments to the FrameNet by adding new frame elements and relations
The automatic processing of natural languages knew a remarkable growth in terms of techniques, metho...
Itis a necessity for Muslim society to learn the meanings of Quranic vocabulary especiall...
This Quran as the central religious text of Islam is widely regarded as the finest work in classical...
The Quranic Arabic Corpus is an important computational resource for research in Arabic. The main pu...
Although Arabic is the language of over two hundred million speakers, little has been achieved in re...
This paper presents a corpus that offers rich and authentic knowledge for Juz' Amma using the ontolo...
This paper describes a work in constructing two models of knowledge representation (KR) in aiming to...
This article discusses the plan to implement the Quranic Arabic Corpus for the development of Arabic...
The main aim of developing a Quranic ontology is to facilitate the retrieval of knowledge from Al-Qu...
This paper describes the building of a valency lexicon of Arabic verbs using a morphologically and s...
Starting from Levin and Rappaport Hovav\u27s (2005) argument that lexical semantic properties of wor...
This paper presents QurAna: a large corpus created from the original Quranic text, where personal pr...
Distributional semantics is one of the empirical approaches to natural language processing and acqui...
There is an immense need for information systems that rely on Arabic Quranic ontologies to provide a...
The present study is an attempt to investigate the problems resulting from the lexical choice in the...
The automatic processing of natural languages knew a remarkable growth in terms of techniques, metho...
Itis a necessity for Muslim society to learn the meanings of Quranic vocabulary especiall...
This Quran as the central religious text of Islam is widely regarded as the finest work in classical...
The Quranic Arabic Corpus is an important computational resource for research in Arabic. The main pu...
Although Arabic is the language of over two hundred million speakers, little has been achieved in re...
This paper presents a corpus that offers rich and authentic knowledge for Juz' Amma using the ontolo...
This paper describes a work in constructing two models of knowledge representation (KR) in aiming to...
This article discusses the plan to implement the Quranic Arabic Corpus for the development of Arabic...
The main aim of developing a Quranic ontology is to facilitate the retrieval of knowledge from Al-Qu...
This paper describes the building of a valency lexicon of Arabic verbs using a morphologically and s...
Starting from Levin and Rappaport Hovav\u27s (2005) argument that lexical semantic properties of wor...
This paper presents QurAna: a large corpus created from the original Quranic text, where personal pr...
Distributional semantics is one of the empirical approaches to natural language processing and acqui...
There is an immense need for information systems that rely on Arabic Quranic ontologies to provide a...
The present study is an attempt to investigate the problems resulting from the lexical choice in the...
The automatic processing of natural languages knew a remarkable growth in terms of techniques, metho...
Itis a necessity for Muslim society to learn the meanings of Quranic vocabulary especiall...
This Quran as the central religious text of Islam is widely regarded as the finest work in classical...