(Abstract) Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text. In this research GloVe, CBOW and skip-gram ...

This paper describes a local effort to bridge the gap between computational and documentary linguistics by teaching students and young researchers in computational linguistics about doing research and developing systems for low-resource languages. We describe four student software projects developed within one semester. The projects range from a front-end for building small-vocabulary speech re...

this study was a contrastive analysis of the evolution of english and persian advertising slogans to investigate their similarities/differences in using rhetorical figures, and the evolution in the use of these figures in the slogans of each language. thus, 800 persian and english slogans from the last four decades were collected. lapsanka's framework (2006) including different aspects with som...

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...

Sorting Persian strings is a common challenge for many users that develop web-based database applications. This issue occurs more frequently while using Persian data. To the best of our knowledge almost many versions of several DBMS do not support Persian strings sorting properly. In this paper we present a Java pattern for solving this issue. Our object-oriented solution consists of three clas...