東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Machine translation = 20th China Con...

CCMT (Conference) (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Machine translation = 20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine translation/ edited by Zhongjun He, Yidong Chen.
Reminder of title:	20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings /
remainder title:	CCMT 2024
other author:	He, Zhongjun.
corporate name:	CCMT (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 176 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Robustness and Efficiency of Translation Models. -- A Data-Efficient Nearest-Neighbor Language Model via Lightweight Nets. -- Extend Adversarial Policy Against Neural Machine Translation via Unknown Token. -- Low-resource Machine Translation. -- Evaluating the Translation Performance of Multilingual Large Language Models: a Case Study on Southeast Asian Language. -- Quality Estimation. -- Critical Error Detection based on Anchors Test. -- Large Language Modes for Machine Translation. -- Enhancing Machine Translation Across Multiple Domains and Languages with Large Language Models. -- Incorporating Terminology Knowledge into Large Language Model for Domain-specific Machine Translation. -- Multi-modal Translation. -- Joint Multi-modal Modeling for Speech-to-Text Translation as Multilingual Neural Machine Translation. -- Machine Translation Evaluation. -- CCMT2024 Tibetan-Chinese Machine Translation Evaluation Technical Report. -- HW-TSC's Submission to the CCMT 2024 Machine Translation Task. -- ISTIC's Neural Machine Translation Systems for CCMT' 2024. -- Lan-Bridge's Submission to CCMT 2024 Translation Evaluation Task. -- Technical Report of OPPO's Machine Translation Systems for CCMT 2024. -- Xihong's Submission to CCMT 2024: Human-in-the-Loop Data Augmentation for Low-Resource Tibetan-Chinese NMT.
Contained By:	Springer Nature eBook
Subject:	Machine translating - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-2292-4
ISBN:	9789819622924

Machine translation = 20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings /
Machine translation20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings /[electronic resource] :CCMT 2024edited by Zhongjun He, Yidong Chen. - Singapore :Springer Nature Singapore :2025. - xiv, 176 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,23651865-0937 ;. - Communications in computer and information science ;2365..

Robustness and Efficiency of Translation Models. -- A Data-Efficient Nearest-Neighbor Language Model via Lightweight Nets. -- Extend Adversarial Policy Against Neural Machine Translation via Unknown Token. -- Low-resource Machine Translation. -- Evaluating the Translation Performance of Multilingual Large Language Models: a Case Study on Southeast Asian Language. -- Quality Estimation. -- Critical Error Detection based on Anchors Test. -- Large Language Modes for Machine Translation. -- Enhancing Machine Translation Across Multiple Domains and Languages with Large Language Models. -- Incorporating Terminology Knowledge into Large Language Model for Domain-specific Machine Translation. -- Multi-modal Translation. -- Joint Multi-modal Modeling for Speech-to-Text Translation as Multilingual Neural Machine Translation. -- Machine Translation Evaluation. -- CCMT2024 Tibetan-Chinese Machine Translation Evaluation Technical Report. -- HW-TSC's Submission to the CCMT 2024 Machine Translation Task. -- ISTIC's Neural Machine Translation Systems for CCMT' 2024. -- Lan-Bridge's Submission to CCMT 2024 Translation Evaluation Task. -- Technical Report of OPPO's Machine Translation Systems for CCMT 2024. -- Xihong's Submission to CCMT 2024: Human-in-the-Loop Data Augmentation for Low-Resource Tibetan-Chinese NMT.

This book constitutes the refereed proceedings of the 20th China Conference on Machine Translation, CCMT 2024, which took place in Xiamen, China, during November 8-10, 2024. The 13 full papers included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: robustness and efficiency of translation models; low-resource machine translation; quality estimation; large language modes for machine translation; multi-modal translation; and machine translation evaluation.

ISBN: 9789819622924

Standard No.: 10.1007/978-981-96-2292-4doiSubjects--Topical Terms:

1004837
Machine translating
--Congresses.

LC Class. No.: P308

Dewey Class. No.: 418.020285

Machine translation = 20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings /
LDR:03013nmm a2200349 a 4500 001 2408555
003 DE-He213
005 20250219115241.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819622924 $q (electronic bk.)
020 $a 9789819622917 $q (paper)
024 7 $a 10.1007/978-981-96-2292-4 $2 doi
035 $a 978-981-96-2292-4
040 $a GP $c GP
041 0 $a eng
050 4 $a P308
072 7 $a UYQL $2 bicssc
072 7 $a COM073000 $2 bisacsh
072 7 $a UYQL $2 thema
082 0 4 $a 418.020285 $2 23
090 $a P308 $b .C386 2024
111 2 $a CCMT (Conference) $n (20th : $d 2024 : $c Xiamen, China) $3 3781128
245 1 0 $a Machine translation $h [electronic resource] : $b 20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024 : proceedings / $c edited by Zhongjun He, Yidong Chen.
246 3 $a CCMT 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiv, 176 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2365
505 0 $a Robustness and Efficiency of Translation Models. -- A Data-Efficient Nearest-Neighbor Language Model via Lightweight Nets. -- Extend Adversarial Policy Against Neural Machine Translation via Unknown Token. -- Low-resource Machine Translation. -- Evaluating the Translation Performance of Multilingual Large Language Models: a Case Study on Southeast Asian Language. -- Quality Estimation. -- Critical Error Detection based on Anchors Test. -- Large Language Modes for Machine Translation. -- Enhancing Machine Translation Across Multiple Domains and Languages with Large Language Models. -- Incorporating Terminology Knowledge into Large Language Model for Domain-specific Machine Translation. -- Multi-modal Translation. -- Joint Multi-modal Modeling for Speech-to-Text Translation as Multilingual Neural Machine Translation. -- Machine Translation Evaluation. -- CCMT2024 Tibetan-Chinese Machine Translation Evaluation Technical Report. -- HW-TSC's Submission to the CCMT 2024 Machine Translation Task. -- ISTIC's Neural Machine Translation Systems for CCMT' 2024. -- Lan-Bridge's Submission to CCMT 2024 Translation Evaluation Task. -- Technical Report of OPPO's Machine Translation Systems for CCMT 2024. -- Xihong's Submission to CCMT 2024: Human-in-the-Loop Data Augmentation for Low-Resource Tibetan-Chinese NMT.
520 $a This book constitutes the refereed proceedings of the 20th China Conference on Machine Translation, CCMT 2024, which took place in Xiamen, China, during November 8-10, 2024. The 13 full papers included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: robustness and efficiency of translation models; low-resource machine translation; quality estimation; large language modes for machine translation; multi-modal translation; and machine translation evaluation.
650 0 $a Machine translating $v Congresses. $3 1004837
650 0 $a Computational linguistics $x Congresses. $3 582158
650 1 4 $a Natural Language Processing (NLP). $3 3755514
650 2 4 $a Database Management. $3 891010
650 2 4 $a Computer Science Logic and Foundations of Programming. $3 3538531
650 2 4 $a Coding and Information Theory. $3 891252
650 2 4 $a Computer Application in Administrative Data Processing. $3 3594379
700 1 $a He, Zhongjun. $3 3781129
700 1 $a Chen, Yidong. $3 2108759
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2365. $3 3781130
856 4 0 $u https://doi.org/10.1007/978-981-96-2292-4
950 $a Computer Science (SpringerNature-11645)