Papers by Mohammed Albared
While a wide range of methods has been conducted to English terminology extraction, relatively fe... more While a wide range of methods has been conducted to English terminology extraction, relatively few
studies have been applied to Arabic terms extraction in Islamic corpus. In this paper, we present an efficient
approach for automatic extraction of Arabic Terminology (SWTs, MWTs). The approach relies on two
main filtering steps: the linguistic filter, where simple part of speech (POS) tagger is used to extract
candidate MWTs matching given syntactic patterns, and the statistical filter where several statistical
methods (PMI, Kappa, CHI-squire, T-test, Piatersky- Shapiro and Rank Aggregation) are used to rank
candidate MWTs and we applied IF.IDF to rank the SWTs candidate. Our approach extracted the bi-gram
candidates of MWTs Islamic term from corpus and evaluated the association measures (STWs and MWTs)
by using the n-best evaluation method.
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Abstract: Named entity recognition (NER) systems aim to automatically identify and classify the p... more Abstract: Named entity recognition (NER) systems aim to automatically identify and classify the proper nouns in text. NER systems play a significant role in many areas of Natural Language Processing (NLP) such as question answering systems, text summarization and information retrieval. Unlike previous Arabic NER systems which have been built to extract named entities from general Arabic text, our task involves extracting named entities from crime documents.
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Proceedings of the 5th international conference on …, Jan 1, 2010
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Intelligent Information and Database …, Jan 1, 2011
Part Of Speech (POS) tagging is the ability to computationally determine which POS of a word is a... more Part Of Speech (POS) tagging is the ability to computationally determine which POS of a word is activated by its use in a particular context. POS is one of the important processing steps for many natural language systems such as information extraction, question answering. This paper presents a study aiming to find out the appropriate strategy to develop a fast and accurate Arabic statistical POS tagger when only a limited amount of training material is available. This is an essential factor when dealing with languages like ...
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Electrical Engineering and …, Jan 1, 2009
Abstract Parts of speech tagging forms the important pre-processing step in many of the natural l... more Abstract Parts of speech tagging forms the important pre-processing step in many of the natural language processing applications like text summarization, question answering and information retrieval system. MorphoSyntactic disambiguation (part of speech tagging) is the process of classifying every word in a given context to its appropriate part of speech. In this paper, we first review all the supervised machine learning approaches that have been used in the part of speech tagging. Then we review all the Arabic works to compare and to ...
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Intelligent Information and Database …, Jan 1, 2011
This paper describes our newly-developed second order hidden Markov model part-of-speech tagging ... more This paper describes our newly-developed second order hidden Markov model part-of-speech tagging system specially designed to tag Arabic texts using small training data. The tagger achieves encouraging results. In addition, the paper also presents a hybrid tagging architecture for Arabic, in which our tagger augmented with a weighted morphological analyzer. Finally, we compare the tagger results-both standalone and utilizing a highly coverage morphological analyzer. Experimental results are presented and discussed ...
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Journal of Computer Science, Jan 1, 2010
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International …, Jan 1, 2009
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Rough Set and Knowledge …, Jan 1, 2010
Part Of Speech (POS) tagging is the ability to computationally determine which POS of a word is a... more Part Of Speech (POS) tagging is the ability to computationally determine which POS of a word is activated by its use in a particular context. POS tagger is a useful preprocessing tool in many natural languages processing (NLP) applications such as information extraction ...
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Papers by Mohammed Albared
studies have been applied to Arabic terms extraction in Islamic corpus. In this paper, we present an efficient
approach for automatic extraction of Arabic Terminology (SWTs, MWTs). The approach relies on two
main filtering steps: the linguistic filter, where simple part of speech (POS) tagger is used to extract
candidate MWTs matching given syntactic patterns, and the statistical filter where several statistical
methods (PMI, Kappa, CHI-squire, T-test, Piatersky- Shapiro and Rank Aggregation) are used to rank
candidate MWTs and we applied IF.IDF to rank the SWTs candidate. Our approach extracted the bi-gram
candidates of MWTs Islamic term from corpus and evaluated the association measures (STWs and MWTs)
by using the n-best evaluation method.
studies have been applied to Arabic terms extraction in Islamic corpus. In this paper, we present an efficient
approach for automatic extraction of Arabic Terminology (SWTs, MWTs). The approach relies on two
main filtering steps: the linguistic filter, where simple part of speech (POS) tagger is used to extract
candidate MWTs matching given syntactic patterns, and the statistical filter where several statistical
methods (PMI, Kappa, CHI-squire, T-test, Piatersky- Shapiro and Rank Aggregation) are used to rank
candidate MWTs and we applied IF.IDF to rank the SWTs candidate. Our approach extracted the bi-gram
candidates of MWTs Islamic term from corpus and evaluated the association measures (STWs and MWTs)
by using the n-best evaluation method.