Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Translation: 18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers de Tong Xiao

Machine Translation: 18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers: Communications in Computer and Information Science, cartea 1671

Editat de Tong Xiao, Juan Pino
en Limba Engleză Paperback – 9 dec 2022
This book constitutes the refereed proceedings of the 18th China Conference on
Machine Translation, CCMT 2022, held in Lhasa, China, during August 6–10, 2022.

The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
Citește tot Restrânge

Din seria Communications in Computer and Information Science

Preț: 40493 lei

Preț vechi: 50616 lei
-20% Nou

Puncte Express: 607
Preț estimativ în valută:
7753€ • 8073$ • 6433£

Carte tipărită la comandă

Livrare economică 13-27 februarie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811979590
ISBN-10: 9811979596
Pagini: 161
Ilustrații: XIV, 161 p. 60 illus., 49 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Singapore, Singapore

Cuprins

PEACook: Post-Editing Advancement Cookbook.- Hot-start Transfer Learning combined with Approximate Distillation for Mongolian- Chinese Neural Machine Translation.- Review-based Curriculum Learning for Neural Machine Translation.- Multi-Strategy Enhanced Neural Machine Translation for Chinese Minority Language.- Target-side Language Model for Reference-free Machine Translation Evaluation.- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement.- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples.- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation.- Dynamic Fusion Nearest Neighbor Machine Translation via Dempster–Shafer Theory.- A Multi-tasking and Multi-stage Chinese Minority Pre-Trained Language Model.- An improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation.- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation.- HW-TSC Submission for CCMT 2022 Translation Quality Estimation Task.- Effective Data Augmentation Methods for CCMT 2022.- NJUNLP’s Submission for CCMT 2022 Quality Estimation Task.- ISTIC’s Thai-to-Chinese Neural Machine Translation System for CCMT’ 2022.