A Romanian language modeling using linguistic factors

Language modeling plays an important role in continuous speech recognition and understanding providing an improvement of their performances. But language modeling has been shown to be a difficult task due to the many sources of variability that are present in natural languages. Therefore has been developed different method to process the language. The most used of them are grammar and statistical models. This paper presents a statistical modeling of Romanian language using factored language model and linguistic knowledge (morphosyntactic description, part-of-speech and lemma).