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鲁东大学交替传译课件Lecture8 Memory Training
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimize. Building on the w...
Minimum error rate training (MERT) is a widely used learning procedure for statistical machine translation models. We contrast three search strategies for MERT: Powell’s method, the variant of coordin...
Although discriminative training guarantees to improve statistical machine translation by in-corporating a large amount of overlapping fea-tures, it is hard to scale up to large data due to decoding c...
Systematic reporting of problems and decisions encountered by translation students in their translation assignments has been used by the author for 25 years. Though it requires efforts from the studen...
This article presents the results of the Copenhagen Retrospection Project which was carried out at CBS in 2004 in connection with research in translation processes. It is a systematic comparison of se...
This paper sets out to describe a multimedia database, the Forlì Corpus of Screen Translation, developed at the University of Bologna's Department of Interdisciplinary Studies in Translation, Language...
The use of corpora in the translation classroom has been explored by several researchers (Bowker 1998, 2000; Faber et al 2001; Zanettin, Bernardini & Stewart 2003). The aims of this paper are to explo...
In the field of Audiovisual Translation, some disciplines still have a long way to go in terms of visibility. Speech recognition-based subtitling, also known as respeaking, is a case in point. Even th...
Even if the profession of translation as a whole is divided between those who do literary translation and those who do non-literary translation, as Newmark puts it in the very first issue of this jour...

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