نتایج جستجو برای: arabic word endings
تعداد نتایج: 205065 فیلتر نتایج به سال:
The recognition of unconstrained handwriting continues to be a difficult task for computers despite active research for several decades. This is because handwritten text offers great challenges such as character and word segmentation, character recognition, variation between handwriting styles, different character size and no font constraints as well as the background clarity. In this paper pri...
This paper describes the LIMSI Arabic Broadcast News system which produces a vowelized word transcription. The under 10x system, evaluated in the NIST RT-04F evaluation, uses a 3 pass decoding strategy with genderand bandwidth-specific acoustic models, a vowelized 65k word class pronunciation lexicon and a word-class 4-gram language model. In order to explicitly represent the vowelized word for...
The Arabic language is acquired by its native speakers both as a regional spoken Arabic dialect, acquired in early childhood as a first language, and as the more formal variety known as Modern Standard Arabic (MSA), typically acquired later in childhood. These varieties of Arabic show a range of linguistic similarities and differences. Since previous psycholinguistic research in Arabic has prim...
Existing Arabic sentiment lexicons have low coverage—only a few thousand entries. In this paper, we present several large sentiment lexicons that were automatically generated using two different methods: (1) by using distant supervision techniques on Arabic tweets, and (2) by translating English sentiment lexicons into Arabic using a freely available statistical machine translation system. We c...
Although Arabic is currently one of the most widely spoken languages in the world, there has been relatively little speech recognition research on Arabic compared to other languages. Moreover, most previous work has concentrated on the recognition of formal rather than dialectal Arabic. This paper reports on our project at the 2002 Johns Hopkins Summer Workshop, which focused on the recognition...
Arabic is a highly inflectional language, with a rich morphology, relatively free word order, and two types of sentences: nominal and verbal. Arabic natural language processing in general is still underdeveloped and Arabic natural language generation (NLG) is even less developed. In particular, Arabic natural language generation from Interlingua was only investigated using template-based approa...
Probabilistic approaches to part-of-speech tagging rely primarily on whole-word statis tics about word/tag combinations as well as contextual information. But experience shows about 4 per cent of tokens encountered in test sets are unknown even when the train ing set is as large as a million words. Unseen words are tagged using secondary strategies that exploit word features such as endings, ...
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