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003			ES-MaUEC
005			20240427165517.0
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007			cr nn 008mamaa
008			231031s2023 si | fo |||| 0|eng d
020			_a9789819978946
024	7		_a10.1007/978-981-99-7894-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aP308 _b2023 EB
245	0	0	_aMachine Translation : _b19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings _cedited by Yang Feng, Chong Feng
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aCommunications in Computer and Information Science _x1865-0937 _v1922
505	0		_aTransn's submission for CCMT 2023 Quality Estimation Task -- HW-TSC's Neural Machine Translation System for CCMT 2023 -- CCMT2023 Machine Translation Evaluation Technical Report -- Korean-Chinese Machine Translation Method Based on Independent Language Features -- NJUNLP's Submission for CCMT 2023 Quality Estimation Task -- HIT-MI&T Lab's Submission to CCMT 2023 Automatic Post-Editing Task -- A k-Nearest Neighbor Approach for Domain-Specific Translation Quality Estimation -- WSA: A Unified Framework for Word and Sentence Autocompletion in Interactive Machine Translation -- ISTIC's Neural Machine Translation Systems for CCMT'2023 -- A Novel Dataset and Benchmark Analysis on Document Image Translation -- Joint Contrastive Learning for Factual Consistency Evaluation of Cross-Lingual Abstract Summarization.
520			_aThis book constitutes the refereed proceedings of the 19th China Conference on Machine Translation, CCMT 2023, held in Jinan, China, during October 19-21, 2023. The 8 full papers and 3 short papers included in this book were carefully reviewed and selected from 71 submissions. They focus on machine translation; improvement of translation models and systems; translation quality estimation; document-level machine translation; low-resource machine translation.
988			_aSpringer_Computer_2023
650		7	_2embne _9140340 _aTraducción automática _vCongresos y asambleas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-7894-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _ean _zSI