Electronic Resource

Modeling information structure in a cross-linguistic perspective

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This study makes substantial contributions to both the theoretical and computational treatment of information structure, with a specific focus on creating natural language processing applications such as multilingual machine translation systems. The present study first provides cross-linguistic findings in regards to information structure meanings and markings. Building upon such findings, the current model represents information structure within the HPSG/MRS framework using Individual Constraints. The primary goal of the present study is to create a multilingual grammar model of information structure for the LinGO Grammar Matrix system. The present study explores the construction of a grammar library for creating customized grammar incorporating information structure and illustrates how the information structure-based model improves performance of transfer-based machine translation.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

400 SON m

Penerbit

Berlin, Germany : Language Science Press., 2017

Deskripsi Fisik

XIII, 309 p.

Bahasa

English

ISBN/ISSN

9783946234906

Klasifikasi

400

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Linguistics

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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