نتایج جستجو برای: arabic sentences

تعداد نتایج: 121673  

2008
Mohammed. A. Al-Manie Mohammed I. Alkanhal

In this paper, a special algorithm is developed to accomplish segmentation for the Arabic speech based on energy level of the uttered words or sentences. In Arabic language, phonemes can be divided into two energy regions: unvoiced phonemes are categorized as low energy, for example, the sounds / س / (/s/) and / ـه / (/h/); On the other hand, vowels and semi-vowels such as / _َ / ) هحتف ( (/ ‘a ...

2009
Kais Haddar Ines Zalila Sirine Boukedi

The relative phenomenon is considered as a rather delicate linguistic phenomenon and not explored enough by researchers, especially for the Arabic language. In an attempt to deal with this phenomenon, we propose in this paper a study about different forms of relative clauses. This study will be used for the building of a parser that can process relative sentences. This parser is constructed usi...

2011
Jacob Andreas Nizar Habash Owen Rambow

The quality of Arabic-English statistical machine translation often suffers as a result of standard phrase-based SMT systems’ inability to perform long-range re-orderings, specifically those needed to translate VSO-ordered Arabic sentences. This problem is further exacerbated by the low performance of Arabic parsers on subject and subject span detection. In this paper, we present two parse “fuz...

Journal: :Arabi : journal of Arabic studies 2023

Arabic-Javanese translation is a means of communication between nations as well preservation local languages. This research takes interrogative sentence and their translations from Arabic to Javanese. aims describe the types functions sentences in books Khudz 'Aqīdataka min al-Kitabi wa al-Sunnah al-Shahīhah (KAKSS) Al-Huda: Tafsir Quran Basa Jawi, techniques, methods, ideology translation. use...

2014
Kfir Bar Yaacov Choueka Nachum Dershowitz

An implementation of a non-structural Example-Based Machine Translation system that translates sentences from Arabic to English, using a parallel corpus aligned at the paragraph level, is described. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological data. The system has been implemented and automatically ev...

Journal: :Psychonomic bulletin & review 2014
Timothy R Jordan Abubaker A A Almabruk Eman A Gadalla Victoria A McGowan Sarah J White Lily Abedipour Kevin B Paterson

In English and other alphabetic languages read from left to right, useful information acquired during each fixational pause is generally reported to extend much further to the right of each fixation than to the left. However, the asymmetry of the perceptual span for alphabetic languages read in the opposite direction (i.e., from right to left) has received very little attention in empirical res...

2017
Fadi Sindran Firas Mualla Tino Haderlein Khaled Daqrouq

Statistical studies based on automatic phonetic transcription of Standard Arabic texts are rare, and even though studies have been performed, they have been done only on one level – phoneme or syllable – and the results cannot be generalized on the language as a whole. In this paper we automatically derived accurate statistical information about phonemes, allophones, syllables, and allosyllable...

2012
Omar F. Zaidan Christine D. Piatko

Human annotators are critical for creating the necessary datasets to train statistical learners, but annotation cost and limited access to qualified annotators forms a data bottleneck. In recent years, researchers have investigated overcoming this obstacle using crowdsourcing, which is the delegation of a particular task to a large group of untrained individuals rather than a select trained few...

2014
Youssef Hassan Mohamed Aly Amir F. Atiya

In this work, we address the problem of spelling correction in the Arabic language utilizing the new corpus provided by QALB (Qatar Arabic Language Bank) project which is an annotated corpus of sentences with errors and their corrections. The corpus contains edit, add before, split, merge, add after, move and other error types. We are concerned with the first four error types as they contribute...

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