This article presents the linguistic bases of Persian light verb constructions and shows the corpus based construction of lists of collocates for some common Persian verbs. The proposed methods of corpus construction are language independent and the good results on a relatively small corpus of 20 million words confirms the power of association measures based on the hypergeometric distribution. ...

Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multilingual resources due to some of its special features and difficulties in constructing the corpora. In this study, we build a Persian-English comparable corpus from two independent news collections: BBC News in Englis...

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more representative word-frequencies in the corpus. Two types of word relationships are considered in our used thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Ex...

(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 presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated. These links will be discriminated later as correct or incorrect by employing seven features in a trained classification system. The whole method is just a classification...

Although parallel corpora are essential language resources for many NLP tasks, they are rare or even not available for many language pairs. Instead, comparable corpora are widely available and contain parallel fragments of information that can be used applications like statistical machine translations. In this research, we propose a generative LDA based model for extracting parallel fragments f...

This paper describes creation of a test collection for Persian Part of Speech Tagging experiments. This collection was created by modifying a manually Part of Speech (POS) tagged Persian corpus with over two million tagged words. The original collection had a tag set of 550 tags that are more than what any machine learning algorithm can handle. The number of tags for these experiments was reduc...

In recent years, large monolingual, comparable and parallel corpora have played a very crucial role in solving various problems of computational linguistics including machine translation, information retrieval, natural language processing, and the like. This paper tries to solve the problem of polysemy of Persian words while translating them into Persian by the computer. We use Mutual Informati...