98 1,261 7. 80 Ǵځύ 57. 65 1. ϟಏ content ӧᆛሞᆛ Chen and Lin, 2000 machine translation cross language information retrieval Chen, 1997.

 

1 Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Dictionary Jen NanChen Abstract This paper describes a general framework for adaptive.

 

Nara Institute of Science and Technology 8916-5, Takayama, Ikoma, Nara, 630-0101 Japan E-Mail: maruf-h, matsu is. aist-nara. ac. jp.

 

Part-of-speech Sequences and Distribution in a Learner Corpus of English Rebecca H. Shih , John Y. Chiang and F. Tien Department of Foreign Languages and Literature Department.

 

68 multi-layer decision classifier MLDC to predict the sense category, in which the voting scheme is used to predict the final category. Even though.

 

1 Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Dictionary Jen NanChen Abstract This paper describes a general framework for adaptive.

 

Parsing Chinese by Examples Oliver Streiter Academia Sinica, Institute of Information Science Page 41 65 Proceedingsof Research on Computa tional Linguistics.

 

ඩ໻ΔᆺՕዊ ഏمٌຏՕᖂᇷಛઝᖂߓ Page 21 40 Proceedingsof Research on Computa tional Linguistics Conference XIII ROCLING XIII Taipei, Taiwan.

 

201 TDCC One-Pass ᄽᆉݤǴճҔന٫࣬՟ࡋ Maximum Likelihood, ML ݤ߾ٰ຾Չೱុᇟॣᒣ᛽Ƕ Maximum A Posteriori , MAP ፓ᏾ᄽᆉݤ Gauvain and Lee, 1994 کന٫࣬՟ࡋጕ܄ӣᘜ Maximum Likelihood Linear.

 

1 Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Dictionary Jen NanChen Abstract This paper describes a general framework for adaptive.

 

Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan 62107, ROC. E-mail: tsay,jdwang cs. ccu. edu. tw.

 

116 interactive search processes often rely on the key terms in the retrieved documents 2,7,10. The key term set is extracted either statically from the documents during.

 

Department of Foreign Languages and Literature, National Sun Yat-sen University, Kaohsiung, Taiwan E-mail: hsuehueh mail. nsysu. edu. tw.

 

Building a Chinese Text Summarizer with Phrasal Chunks and Domain Knowledge Weiquan Liu Joe Zhou Intel China Research Center Page.

 

1 Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Dictionary Jen NanChen Abstract This paper describes a general framework for adaptive.

 

Nara Institute of Science and Technology 8916-5, Takayama, Ikoma, Nara, 630-0101 Japan E-Mail: maruf-h, matsu is. aist-nara. ac. jp.

 

Part-of-speech Sequences and Distribution in a Learner Corpus of English Rebecca H. Shih , John Y. Chiang and F. Tien Department of Foreign Languages and Literature Department.

 

ඩ໻ΔᆺՕዊ ഏمٌຏՕᖂᇷಛઝᖂߓ Page 21 40 Proceedingsof Research on Computa tional Linguistics Conference XIII ROCLING XIII Taipei, Taiwan.

 

Building a Chinese Text Summarizer with Phrasal Chunks and Domain Knowledge Weiquan Liu Joe Zhou Intel China Research Center Page.

 

68 multi-layer decision classifier MLDC to predict the sense category, in which the voting scheme is used to predict the final category. Even though.

 

Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan 62107, ROC. E-mail: tsay,jdwang cs. ccu. edu. tw.

 

1 Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Dictionary Jen NanChen Abstract This paper describes a general framework for adaptive.

 

158 5 όૈӧЬᇟϐ߻! 6 7 !όૈ஥ਔᇮຒ! 8 όૈӜຒϯ! 9 όૈ஥Ӝຒಔᇯᇟ3!Mj! Ȩᔈ ঁǶMj! Ȩдࡐ཮ ᇥ၉ȩ ҔȨࡐȩ܈Ȩ׳ȩٰঅႬǺ! 2 дࡐ0׳཮ෞݚ! ෯ ෯ 2::9 ёар౜ܭ҅ϸୢѡ!3 ёр౜ܭցۓୋຒϐ߻ࡕ!4 ௃ᄊ׎৒

 

22 ڗচ߾ǶٯӵǴ࣬ᜢࡋ association Sproat90 ࢂа࣬ϕᜢೱࡋ mutual information Church90 Ҕٰᑽໆӷಔύӷϡᆶӷಔ໔ޑ ࣬ᜢำࡋǶሯηંତ dice matrix Smadja93, 96 Smadja ฻ΓճҔሯ ηંତ຾Չೱӷ collocation.

 

224 / ђᗶݹǵ೚ЎᓪǴ҇85ԃ ўЎᅇǴ҇89ԃ Ƕ಄ӝύЎЎݤ่ᄬޑЋ ୢᚒǴхࡴǺ 1. ຒׇ SVO ࠼ᡏɡ୏ຒȑϷ OSV Ȑ࠼ᡏɡЬᡏɡ୏ຒȑǹ2. ӕਔ܄ 3. ൂՏຒ ǺύЎ ӕǴԶஒൂՏຒ࣪ౣǶ 1. ଞჹᝄख़ަᡏфૈ܄ምᛖ௼ဂว৖

 

Department of Foreign Languages and Literature, National Sun Yat-sen University, Kaohsiung, Taiwan E-mail: hsuehueh mail. nsysu. edu. tw.

 

Part-of-speech Sequences and Distribution in a Learner Corpus of English Rebecca H. Shih , John Y. Chiang and F. Tien Department of Foreign Languages and Literature Department.

 

Nara Institute of Science and Technology 8916-5, Takayama, Ikoma, Nara, 630-0101 Japan E-Mail: maruf-h, matsu is. aist-nara. ac. jp.

 

116 interactive search processes often rely on the key terms in the retrieved documents 2,7,10. The key term set is extracted either statically from the documents during.

 

158 5 όૈӧЬᇟϐ߻! 6 7 !όૈ஥ਔᇮຒ! 8 όૈӜຒϯ! 9 όૈ஥Ӝຒಔᇯᇟ3!Mj! Ȩᔈ ঁǶMj! Ȩдࡐ཮ ᇥ၉ȩ ҔȨࡐȩ܈Ȩ׳ȩٰঅႬǺ! 2 дࡐ0׳཮ෞݚ! ෯ ෯ 2::9 ёар౜ܭ҅ϸୢѡ!3 ёр౜ܭցۓୋຒϐ߻ࡕ!4 ௃ᄊ׎৒

 

98 1,261 7. 80 Ǵځύ 57. 65 1. ϟಏ content ӧᆛሞᆛ Chen and Lin, 2000 machine translation cross language information retrieval Chen, 1997.

 

68 multi-layer decision classifier MLDC to predict the sense category, in which the voting scheme is used to predict the final category. Even though.

 

ඩ໻ΔᆺՕዊ ഏمٌຏՕᖂᇷಛઝᖂߓ Page 21 40 Proceedingsof Research on Computa tional Linguistics Conference XIII ROCLING XIII Taipei, Taiwan.

 

116 interactive search processes often rely on the key terms in the retrieved documents 2,7,10. The key term set is extracted either statically from the documents during.

 

Department of Foreign Languages and Literature, National Sun Yat-sen University, Kaohsiung, Taiwan E-mail: hsuehueh mail. nsysu. edu. tw.