in this paper, different input-oriented ratio-based dea (dea-r-i) models are proposed. by presenting the envelopment-additive-enhanced russell model based on the dea-r-i form, each decision making unit is evaluated and its efficiency score is calculated. also, by presenting the central resource allocation model based on the dea-r-i form, a suitable benchmark for all dmus is proposed by solving ...

In this work several sets of categories obtained by a statistical clustering algorithm, as well as a linguistic set, were used to design category-based language models. The language models proposed were evaluated, as usual, in terms of perplexity of the text corpus. Then they were integrated into an ASR system and also evaluated in terms of system performance. It can be seen that category-based...

This paper presents a system of data decomposition and spatial mixture modeling for part based models. Recently, many enhanced part based models (with e.g., multiple features, more components or parts) have been proposed. Nevertheless, those enhanced models bring high computation cost together with the risk of over-fitting. To tackle this problem, we propose a data decomposition method for part...

In this paper building statistical language models for Persian language using a corpus and incorporating them in Persian continuous speech recognition (CSR) system are described. We used Persian Text Corpus for building the language models. First we preprocessed the texts of corpus by correcting the different orthography of words. Also, the number of POS tags was decreased by clustering POS tag...

The rise in web and social media interactions has resulted the efortless proliferation of offensive language hate speech. Such online harassment, insults, attacks are commonly termed cyberbullying. sheer volume user-generated content made it challenging to identify such illicit content. Machine learning wide applications text classification, researchers shifting towards using deep neural networ...

This paper describes the work developed in the creation of language models for a continuous speech recognition system for the Portuguese language. First we discuss the process we use to create and update a text corpus based on newspaper editions collected from the Web from which we were able to generate N-gram language models. We also present the procedure we use to improve those models for a B...