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Machine translation : 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings / Jiajun Chen, Jiajun Zhang (eds.)

بواسطة:المساهم (المساهمين):نوع المادة : نصنصاللغة: الإنجليزية السلاسل:Communications in computer and information science ; 954.الناشر:Singapore : Springer, 2019وصف:xiii, 125 pages : illustrations (some color); 24 cmنوع المحتوى:
  • text
نوع الوسائط:
  • unmediated
نوع الناقل:
  • volume
تدمك:
  • 9789811330827
  • 9789811330834
  • 9811330832
عنوان آخر:
  • CWMT 2018
الموضوع:تصنيف مكتبة الكونجرس:
  • P308 .C446 2019
المحتويات:
A grammatical analysis on machine translation errors. -- RST discourse parsing with tree-structured neural networks. -- Exploiting knowledge graph in NMT. -- improving performance of NMT using semantic concept of WordNet synset. -- Cross-lingual semantic textual similarity modeling using neural networks. -- The impact of named entity translation for neural machine translation. -- Pivot machine translation using Chinese as pivot. -- Neural name translation improves neural machine translation
ملخص:This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018. The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رقم النسخة حالة تاريخ الإستحقاق الباركود
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة P308 .C446 2019 (إستعراض الرف(يفتح أدناه)) C.1 Library Use Only | داخل المكتبة فقط 30030000002239

Includes author index

A grammatical analysis on machine translation errors. -- RST discourse parsing with tree-structured neural networks. -- Exploiting knowledge graph in NMT. -- improving performance of NMT using semantic concept of WordNet synset. -- Cross-lingual semantic textual similarity modeling using neural networks. -- The impact of named entity translation for neural machine translation. -- Pivot machine translation using Chinese as pivot. -- Neural name translation improves neural machine translation

This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018. The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing

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