Building a syntactic-semantic interface for asemi-automatically generated TAG for Arabic

Joint Authors

al-Zuraybi, Chiraz Bin Uthman
Bin Khalil, Sharifah
Duchier, Denys
Parmentier, Yannick

Source

The International Arab Journal of Information Technology

Publisher

Zarqa University

Publication Date

2018-05-31

Country of Publication

Jordan

No. of Pages

10

Main Subjects

Information Technology and Computer Science

English Abstract

Syntactic and semantic resources play an important role for various Natural Language Processing (NLP) tasks by providing information about the correct structural representations of the sentences and their meaning.

To date, there is not a wide-coverage electronic grammar for the Arabic language.

In this context, we present a new approach for building a Tree Adjoining Grammar (TAG) to represent the syntax and the semantic of modern standard Arabic.

This grammar is produced semi-automatically with the eXtensible MetaGrammar (XMG) description language.

First the syntax of Arabic is described using the defined Arab-XMG meta-grammar.

Then semantic information is added by introducing semantic frame-based dimension into the meta-grammar.

This is achieved by exploiting lexical resources such as ArabicVerbNet.

Finally, the link between semantic and syntax is established using a syntax-semantic interface that allows the construction of sentence meaning through semantic role labeling.

Experiments were performed to check grammar coverage as well as the syntactic-semantic analysis.

The results showed that the generated grammar can cover the basic syntactic structures of Arabic sentences and the different phrasal structures with a precision rate of about 92 %.

Moreover, it confirms the effectiveness of the proposed approach as we were able to parse semantically a set of sentences and build their semantic representations with a precision rate of about 72 %.

Data Type

Conference Papers

Record ID

BIM-896592

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