Entry Tsunakawa:2009:CJL from talip.bib
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BibTeX entry
@Article{Tsunakawa:2009:CJL,
author = "Takashi Tsunakawa and Naoaki Okazaki and Xiao Liu and
Jun'ichi Tsujii",
title = "A {Chinese--Japanese} Lexical Machine Translation
through a Pivot Language",
journal = j-TALIP,
volume = "8",
number = "2",
pages = "9:1--9:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1526252.1526257",
ISSN = "1530-0226 (print), 1558-3430 (electronic)",
ISSN-L = "1530-0226",
bibdate = "Wed Jun 3 16:13:52 MDT 2009",
bibsource = "http://portal.acm.org/;
http://www.math.utah.edu/pub/tex/bib/talip.bib",
abstract = "The bilingual lexicon is an expensive but critical
resource for multilingual applications in natural
language processing. This article proposes an
integrated framework for building a bilingual lexicon
between the Chinese and Japanese languages. Since the
language pair Chinese--Japanese does not include
English, which is a central language of the world, few
large-scale bilingual resources between Chinese and
Japanese have been constructed. One solution to
alleviate this problem is to build a Chinese--Japanese
bilingual lexicon through English as the pivot
language. In addition to the pivotal approach, we can
make use of the characteristics of Chinese and Japanese
languages that use Han characters. We incorporate a
translation model obtained from a small
Chinese--Japanese lexicon and use the similarity of the
hanzi and kanji characters by using the log-linear
model. Our experimental results show that the use of
the pivotal approach can improve the translation
performance over the translation model built from a
small Chinese--Japanese lexicon. The results also
demonstrate that the similarity between the hanzi and
kanji characters provides a positive effect for
translating technical terms.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Asian Language Information
Processing",
journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J820",
keywords = "bilingual lexicon; Han characters; hanzi; kanji; pivot
language; statistical machine translation",
}
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11(4)18,
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12(3)12,
12(4)16,
13(2)8,
13(3)14,
13(4)17
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3(1)1,
3(4)213,
4(4)375,
5(2)121,
5(4)291,
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10(3)14,
10(4)20,
11(1)2,
11(3)9,
11(4)15,
12(1)3,
12(3)10,
13(1)1,
13(2)7
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5(2)89,
6(2)6,
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6(3)11,
7(3)8,
7(3)10,
7(4)12,
8(1)2,
8(1)4,
8(4)19,
9(2)7,
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10(2)10,
10(3)12,
10(3)15,
10(4)17,
10(4)20,
11(2)7,
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11(3)11,
11(4)15,
11(4)16,
11(4)18,
12(1)1,
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12(1)3,
12(1)4,
12(2)5,
12(2)6,
12(3)9,
12(3)10,
12(3)12,
12(4)16,
13(1)2,
13(1)3,
13(2)8,
13(2)9,
13(3)12,
13(3)13,
13(4)17,
13(4)18
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7(1)2,
8(3)10,
8(3)12,
9(2)5,
9(3)11,
9(3)12,
9(4)13,
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12(4)14
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2(2)101,
2(2)124,
4(2)135,
5(2)89,
7(3)9,
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8(3)12,
8(4)17,
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12(1)1,
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13(1)1,
13(1)3,
13(2)7
- result,
4(2)135,
5(2)121,
5(2)146,
5(2)165,
6(2)6,
6(2)7,
6(3)9,
6(3)11,
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7(1)2,
7(2)5,
7(2)6,
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7(3)8,
7(3)10,
7(4)11,
7(4)12,
7(4)13,
8(1)2,
8(1)3,
8(1)4,
8(2)6,
8(3)10,
8(3)12,
8(4)14,
8(4)15,
8(4)16,
8(4)17,
8(4)18,
8(4)19,
9(1)1,
9(1)2,
9(2)5,
9(2)6,
9(2)7,
9(3)11,
9(3)12,
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12(1)3,
12(1)4,
12(2)5,
12(2)7,
12(3)9,
12(3)10,
12(3)11,
12(4)14,
12(4)16,
13(1)1,
13(1)4,
13(2)6,
13(2)7,
13(2)9,
13(3)11,
13(3)12,
13(3)14
- show,
5(2)89,
5(2)146,
7(1)1,
7(1)2,
7(1)3,
7(4)11,
7(4)12,
7(4)13,
8(1)4,
8(2)7,
8(3)12,
8(4)16,
8(4)17,
9(1)1,
9(1)2,
9(1)3,
9(2)5,
9(2)6,
9(2)7,
9(3)11,
9(3)12,
9(4)14,
10(1)3,
10(3)15,
11(2)4,
11(2)5,
11(2)7,
11(3)8,
11(3)11,
11(4)14,
11(4)15,
11(4)17,
11(4)18,
12(1)2,
12(1)4,
12(2)5,
12(2)7,
12(3)9,
12(3)10,
12(3)11,
12(4)15,
12(4)16,
13(1)3,
13(2)6,
13(2)7,
13(2)9,
13(3)14
- similarity,
5(2)89,
5(2)165,
6(1)z-1,
6(2)6,
7(3)8,
8(2)6,
9(1)1,
10(2)10,
11(2)5,
11(2)6,
11(3)9,
11(3)11
- since,
5(2)89,
5(2)165,
8(4)16,
8(4)18,
10(1)4,
10(1)5,
10(4)19,
10(4)21,
11(2)7,
11(4)18,
12(1)2,
12(4)16,
13(4)17
- small,
6(3)11,
7(3)9,
7(4)11,
8(4)17,
9(1)3,
10(4)21,
12(2)7
- solution,
6(3)10,
8(3)12,
8(4)14,
8(4)19,
9(3)11,
12(1)2,
12(2)5,
12(2)6
- statistical,
1(1)3,
3(2)87,
3(4)243,
5(2)121,
5(4)323,
5(4)360,
6(1)z-4,
7(1)1,
8(1)2,
8(1)4,
8(2)6,
8(2)7,
8(2)8,
8(3)10,
8(4)15,
8(4)19,
9(2)6,
9(2)7,
9(3)11,
10(4)18,
11(2)6,
11(2)7,
11(3)8,
11(4)15,
12(1)1,
12(3)12,
12(4)14,
12(4)16,
12(4)17,
13(1)2,
13(1)3,
13(1)4,
13(4)17
- term,
1(1)34,
4(3)357,
5(1)22,
7(2)5,
7(2)7,
7(4)12,
9(1)1,
9(3)12,
10(4)17,
11(2)4,
11(3)9,
12(2)5,
12(4)15,
13(3)13
- through,
6(4)2,
7(4)13,
9(3)11,
10(3)12,
11(2)4,
11(3)10,
13(1)3
- translating,
5(2)121,
8(1)4,
9(1)1
- Tsujii, Jun'ichi,
1(1)1,
11(2)6,
12(2)5
- use,
4(2)159,
5(2)89,
5(2)146,
6(2)8,
6(3)11,
7(2)6,
7(3)9,
7(4)11,
7(4)12,
8(1)3,
8(3)10,
8(3)11,
9(1)1,
9(1)3,
9(3)11,
10(1)3,
10(1)4,
11(1)1,
11(2)6,
11(2)7,
11(3)8,
11(3)10,
11(4)14,
11(4)18,
12(1)1,
12(2)6,
12(3)9,
12(3)10,
13(2)6,
13(2)9,
13(2)10,
13(3)12
- which,
5(2)89,
5(2)121,
6(2)6,
6(2)8,
6(3)10,
6(4)1,
7(1)3,
7(2)7,
7(3)10,
7(4)13,
8(1)2,
8(1)4,
8(3)10,
8(3)12,
8(4)14,
8(4)16,
8(4)18,
9(1)1,
9(2)5,
9(3)12,
9(4)14,
9(4)15,
10(1)4,
10(1)6,
10(2)7,
10(2)8,
10(2)9,
10(3)12,
10(3)13,
10(3)14,
10(3)15,
10(4)17,
10(4)19,
10(4)20,
11(2)6,
11(3)8,
11(3)9,
11(4)13,
11(4)14,
11(4)15,
11(4)16,
11(4)18,
12(1)1,
12(1)3,
12(1)4,
12(2)5,
12(2)6,
12(2)7,
12(3)10,
12(3)11,
12(4)15,
12(4)17,
13(1)1,
13(2)8,
13(3)13,
13(4)17,
13(4)18
- world,
5(2)89,
6(3)10,
9(1)1,
9(3)11,
9(4)13,
11(4)18,
12(2)6,
13(4)18