The aim of this paper is to describe a technique for identifying the sources of several types of syntactic ambiguity in Arabic Sentences with a single parse only. Normally, any sentence with two or more structural representations is said to be syntactically ambiguous. However, Arabic sentences with only one structural representation may be ambiguous. Our technique for identifying Syntactic Ambi...

Parsing of Arabic sentences is a necessary mechanism for many natural language processing applications such as machine translation; question answering, knowledge extraction and information retrieval. In this study, we present a top-down chart parser for parsing simple Arabic sentences, including nominal and verbal sentences within specific domain Arabic grammar. We used the Context Free Grammar...

The research focus in our paper is twofold: (a) to examine the extent to which simple Arabic sentence structures comply with the Government and Binding Theory (GB), and (b) to implement a simple Arabic Context Free Grammar (CFG) parser to analyze input sentence structures to improve some Arabic Natural Language Processing (ANLP) Applications. Here we present a parser that employs Chomsky’s Gove...

Parsing Arabic sentences is a difficult task; the difficulties come from several sources. One is that sentences are long and complex, the other difficulties come from the sentence structure. The syntactic structure of sentence parts may be missing, taking different orders of words and phrases. The present work aims to develop an Arabic Parser. A new parser has been developed with the aim of ana...

unlike the languages we know, some of the arabic sentences form without any verbs. arab grammarians call these sentences, which contain a subject and a predicate without any linking verbs, nominal sentences. examining theses sentences indicates that their predicate is composed of one of the following words or structures: 1. noun, 2. prepositional phrase, 3. an adverb of time or place, 4. a nomi...

This study investigated the reading accuracy of 59 adult highly skilled native Arabic readers in reading morphological complex Arabic words in 6 reading conditions: Isolated words with short vowelization, isolated words without short vowelization, sentences with roots with short vowelization, sentences with roots without short vowelization, sentences without priming roots with short vowelizatio...

Automatic text summarization has become important due to the rapid growth of information texts since it is very difficult for human beings to manually summarize large documents of texts. A full understanding of the document is essential to form an ideal summary. However, achieving full understanding is either difficult or impossible for computers. Therefore, selecting important sentences from t...

Modern Standard Arabic (MSA) is the formal language in most Arabic countries. Arabic Dialects (AD) or daily language differs from MSA especially in social media communication. However, most Arabic social media texts have mixed forms and many variations especially between MSA and AD. This paper aims to bridge the gap between MSA and AD by providing a framework for the translation of texts of soc...

Arabic machine translation has been taking place in machine translation projects in recent years. This study concentrates on the translation of Arabic text to its equivalent in Malay language. The problem of this research is the syntactic and morphological differences between Arabic and Malay adjective sentences. The main aim of this study is to design and develop Arabic-Malay machine translati...