Semi-automatic acquisition of two-level morphological rules for Iban language

Suhaila Saee; Lay Ki Soon; Tek Yong Lim; Bali Ranaivo-Malançon; Enya Kong Tang

doi:10.1007/978-3-642-37247-6_15

Semi-automatic acquisition of two-level morphological rules for Iban language

Suhaila Saee, Lay Ki Soon, Tek Yong Lim, Bali Ranaivo-Malançon, Enya Kong Tang

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

We describe in this paper a semi-automatic acquisition of morphological rules for morphological analyser in the case of under-resourced language, which is Iban language. We modify ideas from previous automatic morphological rules acquisition approaches, where the input requirements has become constraints to develop the analyser for under-resourced language. This work introduces three main steps in acquiring the rules from the under-resourced language, which are morphological data acquisition, morphological information validation and morphological rules extraction. The experiment shows that this approach gives successful results with 0.76 of precision and 0.99 of recall. Our findings also suggest that the availability of linguistic references and the selection of assorted techniques for morphology analysis could lead to the design of the workflow. We believe this workflow will assist other researchers to build morphological analyser with the validated morphological rules for the under-resourced languages.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
Pages	174-188
Number of pages	15
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-37247-6_15
Publication status	Published - 2013
Externally published	Yes
Event	International Conference on Intelligent Text Processing and Computational Linguistics 2013 - Samos, Greece Duration: 24 Mar 2013 → 30 Mar 2013 Conference number: 14th https://link.springer.com/book/10.1007/978-3-642-37247-6 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7816 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Intelligent Text Processing and Computational Linguistics 2013
Abbreviated title	CICLing 2013
Country/Territory	Greece
City	Samos
Period	24/03/13 → 30/03/13
Internet address	https://link.springer.com/book/10.1007/978-3-642-37247-6 (Proceedings)

Keywords

Morphological analyser
Morphological rules
Rules extraction
Under-resourced language

Access to Document

10.1007/978-3-642-37247-6_15

Cite this

Saee, S., Soon, L. K., Lim, T. Y., Ranaivo-Malançon, B., & Tang, E. K. (2013). Semi-automatic acquisition of two-level morphological rules for Iban language. In Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings (PART 1 ed., pp. 174-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7816 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-37247-6_15

Saee, Suhaila ; Soon, Lay Ki ; Lim, Tek Yong et al. / Semi-automatic acquisition of two-level morphological rules for Iban language. Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 1. ed. 2013. pp. 174-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Semi-automatic acquisition of two-level morphological rules for Iban language",

abstract = "We describe in this paper a semi-automatic acquisition of morphological rules for morphological analyser in the case of under-resourced language, which is Iban language. We modify ideas from previous automatic morphological rules acquisition approaches, where the input requirements has become constraints to develop the analyser for under-resourced language. This work introduces three main steps in acquiring the rules from the under-resourced language, which are morphological data acquisition, morphological information validation and morphological rules extraction. The experiment shows that this approach gives successful results with 0.76 of precision and 0.99 of recall. Our findings also suggest that the availability of linguistic references and the selection of assorted techniques for morphology analysis could lead to the design of the workflow. We believe this workflow will assist other researchers to build morphological analyser with the validated morphological rules for the under-resourced languages.",

keywords = "Morphological analyser, Morphological rules, Rules extraction, Under-resourced language",

author = "Suhaila Saee and Soon, {Lay Ki} and Lim, {Tek Yong} and Bali Ranaivo-Malan{\c c}on and Tang, {Enya Kong}",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; International Conference on Intelligent Text Processing and Computational Linguistics 2013, CICLing 2013 ; Conference date: 24-03-2013 Through 30-03-2013",

year = "2013",

doi = "10.1007/978-3-642-37247-6_15",

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Saee, S, Soon, LK, Lim, TY, Ranaivo-Malançon, B & Tang, EK 2013, Semi-automatic acquisition of two-level morphological rules for Iban language. in Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7816 LNCS, pp. 174-188, International Conference on Intelligent Text Processing and Computational Linguistics 2013, Samos, Greece, 24/03/13. https://doi.org/10.1007/978-3-642-37247-6_15

Semi-automatic acquisition of two-level morphological rules for Iban language. / Saee, Suhaila; Soon, Lay Ki; Lim, Tek Yong et al.
Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 1. ed. 2013. p. 174-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7816 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Semi-automatic acquisition of two-level morphological rules for Iban language

AU - Saee, Suhaila

AU - Soon, Lay Ki

AU - Lim, Tek Yong

AU - Ranaivo-Malançon, Bali

AU - Tang, Enya Kong

N1 - Conference code: 14th

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N2 - We describe in this paper a semi-automatic acquisition of morphological rules for morphological analyser in the case of under-resourced language, which is Iban language. We modify ideas from previous automatic morphological rules acquisition approaches, where the input requirements has become constraints to develop the analyser for under-resourced language. This work introduces three main steps in acquiring the rules from the under-resourced language, which are morphological data acquisition, morphological information validation and morphological rules extraction. The experiment shows that this approach gives successful results with 0.76 of precision and 0.99 of recall. Our findings also suggest that the availability of linguistic references and the selection of assorted techniques for morphology analysis could lead to the design of the workflow. We believe this workflow will assist other researchers to build morphological analyser with the validated morphological rules for the under-resourced languages.

AB - We describe in this paper a semi-automatic acquisition of morphological rules for morphological analyser in the case of under-resourced language, which is Iban language. We modify ideas from previous automatic morphological rules acquisition approaches, where the input requirements has become constraints to develop the analyser for under-resourced language. This work introduces three main steps in acquiring the rules from the under-resourced language, which are morphological data acquisition, morphological information validation and morphological rules extraction. The experiment shows that this approach gives successful results with 0.76 of precision and 0.99 of recall. Our findings also suggest that the availability of linguistic references and the selection of assorted techniques for morphology analysis could lead to the design of the workflow. We believe this workflow will assist other researchers to build morphological analyser with the validated morphological rules for the under-resourced languages.

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ER -

Saee S, Soon LK, Lim TY, Ranaivo-Malançon B, Tang EK. Semi-automatic acquisition of two-level morphological rules for Iban language. In Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 1 ed. 2013. p. 174-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-37247-6_15

Semi-automatic acquisition of two-level morphological rules for Iban language

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Keywords

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