Abstract：Deep Learning for Natural Language Processing and Language Modelling AbstractThe article presents an example of practical application of deep learning methods for language processing and modellingDevelopment of statistical language models helps to predict a sequence of recognized words and phonemesand can be used for improving speech processing and speech recognitionHowevercurrently the field of language modelling is shifting from statistical language modelling methods to neural networks and deep learning methodsThereforeone of the methods of effective language modelling with the use of deep learning techniques is presented in this paperPresented results concerns the modelling of the Polish language but the achieved research results and conclusions can also be applied to language modelling application for other languagesThis article shows the practical application of language processing and modeling using deep learning methodsAlthough the statistical language model helps to predict the words and phonetic sequences of identificationand can be used to improve voice processing and voice recognitionthe current language modeling field is shifting from statistical language modeling methods to neural networks and deep learning methodsThereforethis article proposes a method of using deep learning technology for effective language modelingAlthough the theme of the study is about Polands modelingthe results and conclusions of the obtained research can also be applied to language modeling applications in other languages