This paper discuses the problem of identifying comparative opinion sentences in Arabic text. Most works in the field of opinion mining concentrate on extracting knowledge from direct opinions. Directly mining positive or negative opinions on a product review or its features is only one form of opinion mining; comparing a product review with some other competitive products is another form. Compa...

Arabic Dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build LevantineEnglish and Egyptian-English parallel corpora, consisting of 1.1M words and 380k words, respectively. The dialectal sentences are selected from a large corpus of Arabic web text, and translated using Amazon’s Mechanical Tur...

The written form of Arabic, Modern Standard Arabic (MSA), differs quite a bit from the spoken dialects of Arabic, which are the true “native” languages of Arabic speakers used in daily life. However, due to MSA’s prevalence in written form, almost all Arabic datasets have predominantly MSA content. We present the Arabic Online Commentary Dataset, a 52M-word monolingual dataset rich in dialectal...

The purpose of this research was to determine the implementation biah lughawiyyah increase maharah kalam. This method uses qualitative research. results study indicate that application lughowiyyah is quite strict, starting from dawn 23:00 WIB (after evening prayers), in its supervised by language spies appointed management. In addition being required speak Arabic, mutakhossis memorize 10 words ...

OF THESIS THE ARABIC PARTICLES ‘INNA WA AḪAWA ̄TU-HA ̄ ’ AT THE SYNTAX-SEMANTICS INTERFACE In Arabic inna wa-aḫawātu-hā ‘inna and its related sisters’ are traditionally considered as verb-like particles. They are specified as introducing equational sentences and change their constituents’ case to a different pattern from what verbs do. Therefore, they are called nawāsiḫ in Arabic, or words that c...

Language is a means of communication that humans use to communicate with each other both orally and through text. A translation process needed so the listener or reader can understand intent speaker writer. This research aims explain reduction techniques in translating Arabic imperative sentences nominal into Indonesian by analyzing terms I’rab, syntax function category, as well pattern used tr...

We describe our participation in the Multilingual Summarization Evaluation MSE 2006 where multiple documents in English, Arabic and Arabic-English machine translations are used to create a brief 100 word summary in English. Our system output was evaluated using the automated ROUGE evaluation system. The greedy optimization technique used to ensure that summaries always obey the length constrain...

Our submission is a non-structural Example-Based Machine Translation system that translates text from Arabic to English, using a parallel corpus aligned at the paragraph / sentence level. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological information. Source-language synonyms were derived automatically and ...

Standard Arabic (SA) is an extremely rich natural language that has unfortunately received very little interest within computational linguistics literature. We propose in this paper to explore this fertile ground and show the first steps towards the formalization of Arabic syntax and semantics by means of MultiModal Categorial Grammars. We will particularly focus on the analysis of some phenome...

This paper presents the study that we have carried out to investigate supervised opinion summarization in Modern Standard Arabic. We use a corpus of news articles. We use conditional random fields (CRF) as machine learning technique. We investigate some features to identify those that allow achieving the best results. Our contribution is to use opinion specific features to summarize Arabic news...