A hybrid Noun Phrase translation system

Author

Nabhan, Ahmed R. ; Rafea, Ahmed

Author_Institution

Fac. of Comput. & Inf., Fayoum Univ., Fayoum, Egypt

fYear

2010

fDate

28-30 March 2010

Firstpage

1

Lastpage

7

Abstract

We present a hybrid based Noun Phrase (NP) translator that combines rule-based transfer technique with a statistical n-gram language model for selecting the best translation. Noun Phrase is the dominating construct in natural language text and targeting it for focused processing increases effectiveness of language processing systems. Manipulation of Noun Phrases is an effective subtask in Statistical Machine Translation, Multilingual Information Retrieval and Information Extraction. In this work, we make use of knowledge about Arabic language morphology regarding the translation of Verbal Nouns (Masader) and Annexation Constructs.

Keywords

information retrieval; knowledge based systems; language translation; natural language processing; annexation constructs; arabic language morphology; hybrid noun phrase translation system; information extraction; language processing systems; multilingual information retrieval; natural language text; rule-based transfer technique; statistical machine translation; statistical n-gram language model; verbal nouns; Computer science; Data mining; Decoding; Information retrieval; Magnetic heads; Morphology; Natural languages; Parameter estimation; Process control; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics and Systems (INFOS), 2010 The 7th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-5828-8

Type

conf

Filename

5461780