A NEW MODEL FOR PERSIAN MULTI-PART WORDS EDITION BASED ON STATISTICAL MACHINE TRANSLATION

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ZAHEDI M.; ARJOMANDZADEH A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING Year:2016 | Volume:4 | Issue:1 Page(s): 27-34

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Information Journal Paper

Title

A NEW MODEL FOR PERSIAN MULTI-PART WORDS EDITION BASED ON STATISTICAL MACHINE TRANSLATION

Author(s)

ZAHEDI M. | ARJOMANDZADEH A. | Issue Writer Certificate

Keywords

PERSIAN MULTI-PART WORDS

SPACING RULES

STATISTICAL MACHINE TRANSLATION

PARALLEL CORPORA

HIERARCHICAL PHRASE-BASED

FERTILITY-BASED IBM MODEL

SYNTAX-BASED DECODER

Abstract

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some serious issues in Persian text processing and text readability. In order to cope with the issues, this work proposes a new model to correct spacing in multi-part words. The proposed method is based on STATISTICAL MACHINE TRANSLATION paradigm. In machine translation paradigm, text in source language is translated into a text in destination language on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The proposed method uses STATISTICAL MACHINE TRANSLATION techniques considering unedited multi-part words as a source language and the space-edited multi-part words as a destination language. The results show that the proposed method can edit and improve spacing correction process of PERSIAN MULTI-PART WORDS with a statistically significant accuracy rate.

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APA: Copy

ZAHEDI, M., & ARJOMANDZADEH, A.. (2016). A NEW MODEL FOR PERSIAN MULTI-PART WORDS EDITION BASED ON STATISTICAL MACHINE TRANSLATION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, 4(1), 27-34. SID. https://sid.ir/paper/679425/en

Vancouver: Copy

ZAHEDI M., ARJOMANDZADEH A.. A NEW MODEL FOR PERSIAN MULTI-PART WORDS EDITION BASED ON STATISTICAL MACHINE TRANSLATION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING[Internet]. 2016;4(1):27-34. Available from: https://sid.ir/paper/679425/en

IEEE: Copy

M. ZAHEDI, and A. ARJOMANDZADEH, “A NEW MODEL FOR PERSIAN MULTI-PART WORDS EDITION BASED ON STATISTICAL MACHINE TRANSLATION,” JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, vol. 4, no. 1, pp. 27–34, 2016, [Online]. Available: https://sid.ir/paper/679425/en

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