We present a new statistical language model based on a Colnbination of individual word language models. Each word model is built from an individual corpus which is formed by extra...
In this paper we investigate the use of linguistic information given by language models to deal with word recognition errors on handwritten sentences. We focus especially on error...
In this paper, we present a modeling of the syntactic lexicon for Arabic verbs based on the Lexical Markup Framework. This ISO standard let us describe the lexical information in ...
Noureddine Loukil, Kais Haddar, Abdelmajid Ben Ham...
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Word Segmentation is the foremost obligatory task in almost all the NLP applications where the initial phase requires tokenization of input into words. Urdu is amongst the Asian l...