Word Sense Disambiguation has long been a central problem in computational linguistics. Word Sense Disambiguation is the ability to identify the meaning of words in context in a computational manner. Statistical and supervised approaches require a large amount of labeled resources as training datasets. In contradistinction to English, the Persian language has neither any semantically tagged cor...

Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...

Parallel corpora are the necessary resources in many multilingual natural language processing applications, including machine translation and cross-lingual information retrieval. Manual preparation of a large scale parallel corpus is a very time consuming and costly procedure. In this paper, the work towards building a sentence-level aligned EnglishPersian corpus in a semi-automated manner is p...

Parallel data are an important part of a reliable Statistical Machine Translation (SMT) system. The more of these data are available, the better the quality of the SMT system. However, for some language pairs such as Persian-English, parallel sources of this kind are scarce. In this paper, a bidirectional method is proposed to extract parallel sentences from English and Persian document aligned...

Ebrahim Ansari ([email protected]) et al. 2017. Using english as pivot to extract persian-italian parallel sentences from non-parallel corpora. In " Applications of Comparable Corpora " edited book Berlin Linguistic Press (ed.). The effectiveness of a statistical machine translation system (SMT) is very dependent upon the amount of parallel corpus used in the training phase. For low-resource l...

Plagiarism detection is the process of locating text reuse within a suspicious document. The plagiarism detection corpora are used for evaluating plagiarism detection systems. In this paper, we present a bilingual PersianEnglish plagiarism detection corpus. We provide our corpus for the task of text alignment corpus construction in the PAN 2015 competition. Our approach is based on parallel cor...

In this paper we describe a proof-of-concept for the bootstrapping of a Persian WordNet. This effort was motivated by previous work done at Stanford University on bootstrapping an Arabic WordNet using a parallel corpus and an English WordNet. The principle of that work is based on the premise that paradigmatic relations are by nature deeply semantic, and as such, are likely to remain intact bet...

In this paper we describe and evaluate the corpora submitted to the PAN 2015 shared task on plagiarism detection for text alignment. We received monoand cross-language corpora in the following languages (pairs): English, Persian, Chinese, and Urdu-English, English-Persian. We present an independent section for each submitted corpus including statistics, discussion of the obfuscation techniques ...

In this paper we describe and evaluate the corpora submitted to the PAN 2015 shared task on plagiarism detection for text alignment. We received monoand cross-language corpora in the following languages (pairs): English, Persian, Chinese, and Urdu-English, English-Persian. We present an independent section for each submitted corpus including statistics, discussion of the obfuscation techniques ...