Selecting target word using contexonym comparison method

Hyungsuk Ji; Bertrand Gaiffe; Hyunseung Choo

doi:10.1007/978-3-540-73345-4_53

Selecting target word using contexonym comparison method

Hyungsuk Ji
, Bertrand Gaiffe
, Hyunseung Choo

Department of Computer Science and Engineering

Sungkyunkwan University

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

1 Scopus citations

Abstract

For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bilingual lexicon using aligned parallel corpus. The results of the test on the predefined test set for the English and French Bibles show the method correctly produce target words with 70% correct ratio. Besides, the proposed method generates target words that reflect contextual relationship between source and target words such as garrison and Philistins.

Original language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
Publisher	Springer Verlag
Pages	463-470
Number of pages	8
Edition	PART 1
ISBN (Print)	9783540733447
DOIs	https://doi.org/10.1007/978-3-540-73345-4_53
State	Published - 2007
Event	Symposium on Human Interface 2007 - Beijing, China Duration: 22 Jul 2007 → 27 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4557 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Symposium on Human Interface 2007
Country/Territory	China
City	Beijing
Period	22/07/07 → 27/07/07

Keywords

ACOM
Bilingual lexicon
Bitext
Parallel corpus

Access to Document

10.1007/978-3-540-73345-4_53

Cite this

Ji, H., Gaiffe, B., & Choo, H. (2007). Selecting target word using contexonym comparison method. In Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings (PART 1 ed., pp. 463-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4557 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-73345-4_53

Ji, Hyungsuk ; Gaiffe, Bertrand ; Choo, Hyunseung. / Selecting target word using contexonym comparison method. Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1. ed. Springer Verlag, 2007. pp. 463-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Selecting target word using contexonym comparison method",

abstract = "For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bilingual lexicon using aligned parallel corpus. The results of the test on the predefined test set for the English and French Bibles show the method correctly produce target words with 70\% correct ratio. Besides, the proposed method generates target words that reflect contextual relationship between source and target words such as garrison and Philistins.",

keywords = "ACOM, Bilingual lexicon, Bitext, Parallel corpus",

author = "Hyungsuk Ji and Bertrand Gaiffe and Hyunseung Choo",

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Ji, H, Gaiffe, B & Choo, H 2007, Selecting target word using contexonym comparison method. in Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, 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. 4557 LNCS, Springer Verlag, pp. 463-470, Symposium on Human Interface 2007, Beijing, China, 22/07/07. https://doi.org/10.1007/978-3-540-73345-4_53

Selecting target word using contexonym comparison method. / Ji, Hyungsuk; Gaiffe, Bertrand; Choo, Hyunseung.
Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1. ed. Springer Verlag, 2007. p. 463-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4557 LNCS, No. PART 1).

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

TY - GEN

T1 - Selecting target word using contexonym comparison method

AU - Ji, Hyungsuk

AU - Gaiffe, Bertrand

AU - Choo, Hyunseung

PY - 2007

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N2 - For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bilingual lexicon using aligned parallel corpus. The results of the test on the predefined test set for the English and French Bibles show the method correctly produce target words with 70% correct ratio. Besides, the proposed method generates target words that reflect contextual relationship between source and target words such as garrison and Philistins.

AB - For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bilingual lexicon using aligned parallel corpus. The results of the test on the predefined test set for the English and French Bibles show the method correctly produce target words with 70% correct ratio. Besides, the proposed method generates target words that reflect contextual relationship between source and target words such as garrison and Philistins.

KW - ACOM

KW - Bilingual lexicon

KW - Bitext

KW - Parallel corpus

UR - https://www.scopus.com/pages/publications/38149037109

U2 - 10.1007/978-3-540-73345-4_53

DO - 10.1007/978-3-540-73345-4_53

M3 - Conference contribution

AN - SCOPUS:38149037109

SN - 9783540733447

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 463

EP - 470

BT - Human Interface and the Management of Information

PB - Springer Verlag

T2 - Symposium on Human Interface 2007

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Ji H, Gaiffe B, Choo H. Selecting target word using contexonym comparison method. In Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1 ed. Springer Verlag. 2007. p. 463-470. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-73345-4_53

Selecting target word using contexonym comparison method

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