[PDF] Top 20 Machine Translation for Subtitling: A Large-Scale Evaluation
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Machine Translation for Subtitling: A Large-Scale Evaluation
... the translation process; or- der for grammatical ordering errors in the target language; phrase for any multiword expression wrongly treated as separate words, or any separate words wrongly translated as a unit; ... See full document
8
Customizing Neural Machine Translation for Subtitling
... neural machine translation system for translation of subtitles in the domain of ...neural translation model was adapted to the subti- tling content and style and extended by a sim- ple, yet ... See full document
12
Pre editing Plus Neural Machine Translation for Subtitling: Effective Pre editing Rules for Subtitling of TED Talks
... TED subtitling intended for non-language expert use— insertion of punctuation, adding explicit subjects and objects, and writing proper nouns in the target language—was tested for its effect in this ...quality ... See full document
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Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... a large number of countries: Algeria, Austria, Belgium, Bulgaria, Brazil, Egypt, France, Greece, Hong Kong, Portugal, Qatar, Russia, Spain and ...and machine evaluation of machine ... See full document
10
Towards Efficient Large Scale Feature Rich Statistical Machine Translation
... We explored strategies for scaling learning for SMT to large tuning sets with sparse features. While incorporating an adaptive per-feature learn- ing rate and feature selection, we were able to use Hadoop to ... See full document
6
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
... 2003), a remaining single piece is used to re-rank the 1000-best list and obtain the BLEU score. The cross-validation process is then repeated 10 times (the folds), with each of the 10 pieces used exactly once as the ... See full document
10
Automatically Learning Source side Reordering Rules for Large Scale Machine Translation
... cal machine translation relates to its difficulties in producing the correct word order on the target side of the translation where the source side or- der is not the same as the target ...the ... See full document
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A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... languages such as Myanmar it has been shown (Thu et al., 2013) that syllable segmentation can give rise to machine translation scores that are competitive with other approaches. How- ever, for Khmer the ... See full document
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Very Large Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation
... in machine translation (MT) applications is the recognition and translation of named ...neural machine translation (NMT) systems, which suffer from a serious out-of-vocabulary ...Very ... See full document
5
Bucking the Trend: Large Scale Cost Focused Active Learning for Statistical Machine Translation
... a translation model learned from the so- far labeled data will (in addition to not being able to translate the trigger words correctly) also not be able to translate most of the non-trigger words cor- ...the ... See full document
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Distributed Word Clustering for Large Scale Class Based Language Modeling in Machine Translation
... for large vocabularies (>1 million words) us- ing such large training corpora (>30 billion to- ...statistical machine trans- lation system leads to improvements in trans- lation quality as ... See full document
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Large Scale Translation Quality Estimation
... for Machine Translation (MT) evaluation, such as BLEU (Papineni et ...for evaluation of individual sentences (Specia et ...supervised Machine Learning (ML) ... See full document
8
Large Language Models in Machine Translation
... Figure 3 shows the number of n-grams for lan- guage models trained on 13 million to 2 trillion to- kens. Both axes are on a logarithmic scale. The right scale shows the approximate size of the served ... See full document
10
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
... However, the training dataset used in this metric consists of approximately 21,000 sentences; thus, the learning of Tree-LSTM is unstable and accu- rate learning is difficult (Table 2). The proposed metric uses sentence ... See full document
6
A Performance Study of Cube Pruning for Large Scale Hierarchical Machine Translation
... Cube pruning (Chiang, 2007) is a widely used search strategy in state-of-the-art hierarchical de- coders. Some alternatives and extensions to the classical algorithm as proposed by David Chiang have been presented in the ... See full document
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Large Scale Parallel Document Mining for Machine Translation
... A distributed system is described that re- liably mines parallel text from large cor- pora. The approach can be regarded as cross-language near-duplicate detec- tion, enabled by an initial, low-quality batch ... See full document
9
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... provides translation by adapting examples with no calculations of extensive chain of ...of translation is less than the computation cost of ...of large amount of text and its respective ... See full document
8
Large Scale Decipherment for Out of Domain Machine Translation
... In general, it is easier to obtain in-domain mono- lingual corpora. Is it possible to use domain specific monolingual data to improve an MT system trained on parallel texts from a different domain? Some re- searchers ... See full document
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Coping With Ambiguity in a Large Scale Machine Translation System
... Coping With Ambiguity in a Large Scale Machine Translation System Coping With Ambiguity in a Large Scale Machine Translation System K a t h r y n L B a k e r , A l e x a n d e r M F r a n z , P a m e[.] ... See full document
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Large scale Multitask Learning for Machine Translation Quality Estimation
... on machine translation quality estimation as application, in this paper we show that multitask learning is also useful in cases where data is ...two large-scale datasets, we explore models ... See full document
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