[PDF] Top 20 Coping With Ambiguity in a Large Scale Machine Translation System
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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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Microsoft Translator at WMT 2019: Towards Large Scale Document Level Neural Machine Translation
... news translation shared task for ...neural machine transla- tion with deep transformer ...on large-scale data created via data-filtering and noisy back-translation and find that back- ... See full document
9
Very Large Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation
... Neural Machine Translation (NMT), that represents a quantum leap in MT ...the translation process on the basis of a single, end-to-end probabilistic model (Luong et ...in translation quality, ... See full document
5
Towards Efficient Large Scale Feature Rich Statistical Machine Translation
... The adoption of discriminative learning methods for SMT that scale easily to handle sparse and lex- icalized features has been increasing in the last several years (Chiang, 2012; Hopkins and May, 2011). However, ... See full document
6
Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... tical machine translation ...using large-scale parallel corpus might be computationally ...solving large-scale clas- sification ... See full document
6
Bucking the Trend: Large Scale Cost Focused Active Learning for Statistical Machine Translation
... ‘after system’ has better transla- tions but they’re not rewarded by BLEU scores be- cause the references use the words ‘burqah’ or just ‘veil’ without ...words) translation for one of our trigger ... See full document
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A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... We used the phrase based SMT system pro- vided by the Moses toolkit (Koehn and Had- dow, 2009) for training the phrase-based ma- chine statistical translation system. The Khmer was aligned with the ... See full document
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A Large Scale Test Set for the Evaluation of Context Aware Pronoun Translation in Neural Machine Translation
... The translation of pronouns presents a special challenge to machine translation to this day, since it often requires con- text outside the current ...overall translation quality are ill- ... See full document
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Large Scale Discriminative Training for Statistical Machine Translation Using Held Out Line Search
... Discriminative training for machine translation is complicated by several factors. First, both transla- tion rules and feature weights are learned from par- allel data. If the same data is used for both ... See full document
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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
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Automatically Learning Source side Reordering Rules for Large Scale Machine Translation
... Their system parses parallel data both on the source and target side and then uses a variety of heuristics to extract reordering rules which are then applied during ...tropy system to learn reordering rules ... See full document
9
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 ... See full document
8
Large scale Machine Translation Evaluation of the iADAATPA Project
... al., 2017) with the multiplicative long short-term memory unit implementation by Pinnis et al. (2017). Then, monolingual in-domain data were back-translated (Poncelas et al., 2018). For sys- tems for which the in-domain ... See full document
7
Machine Translation for Subtitling: A Large-Scale Evaluation
... 5 scale indicating the amount of post-editing effort, where subtitles rated 1 signal incomprehensible and unusable MT, and subtitles rated 5 denote perfectly clear and intelligi- ble MT output, with little to no ... See full document
8
Large Scale Parallel Document Mining for Machine Translation
... By limiting the frequency of matching n-grams, the complexity becomes linear. Let the tunable parameter c be the maximum occurrence count for matching n-grams to be kept in the inverted in- dex. Let m be the average ... See full document
9
Large Scale Decipherment for Out of Domain Machine Translation
... Our baseline system achieves 38.2 BLEU score on Europarl test set. In the second row of Table 6, the test set changes to EMEA, and the baseline BLEU score drops to 24.9. In the third row, the base- line score ... See full document
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Large Scale Multilingual Broadcast Data Collection to Support Machine Translation and Distillation Technology Development
... collection system is organized as a mini-cluster of linux computers with a master node, a fileserver, eight client recording nodes and three transcoding ... See full document
7
Large scale Multitask Learning for Machine Translation Quality Estimation
... The approach of using multitask learning to build models addresses the data scarcity issue and has been shown effective in previous work. Cohn and Specia (2013) first introduced multitask learning for QE. Their goal was ... See full document
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Large Scale Translation Quality Estimation
... We have presented work in progress for developing QE for a large number of language pairs. We use different transfer learning mechanisms to tackle the lack of QE training data for related languages. We show ... 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
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