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New perspectives on cohesion and coherence

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Book Series: Translation and Multilingual Natural Language Processing ISBN: 9783946234722 9783946234845 Year: Pages: 157 DOI: 10.5281/zenodo.814452 Language: English
Publisher: Language Science Press
Subject: Linguistics
Added to DOAB on : 2017-06-29 11:01:39
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"The contributions to this volume investigate relations of cohesion and coherence as well as instantiations of discourse phenomena and their interaction with information structure in multilingual contexts. Some contributions concentrate on procedures to analyze cohesion and coherence from a corpus-linguistic perspective. Others have a particular focus on textual cohesion in parallel corpora that include both originals and translated texts. Additionally, the papers in the volume discuss the nature of cohesion and coherence with implications for human and machine translation. The contributors are experts on discourse phenomena and textuality who address these issues from an empirical perspective. The chapters in this volume are grounded in the latest research making this book useful to both experts of discourse studies and computational linguistics, as well as advanced students with an interest in these disciplines. We hope that this volume will serve as a catalyst to other researchers and will facilitate further advances in the development of cost-effective annotation procedures, the application of statistical techniques for the analysis of linguistic phenomena and the elaboration of new methods for data interpretation in multilingual corpus linguistics and machine translation."

Modeling information structure in a cross-linguistic perspective

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Book Series: Topics at the Grammar-Discourse Interface ISBN: 9783946234906 9783944675978 9783946234647 Year: Pages: 329 DOI: 10.5281/zenodo.818365 Language: English
Publisher: Language Science Press
Subject: Linguistics
Added to DOAB on : 2018-01-13 11:01:52
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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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