[PDF] Top 20 Robust Tuning Datasets for Statistical Machine Translation
Has 10000 "Robust Tuning Datasets for Statistical Machine Translation" found on our website. Below are the top 20 most common "Robust Tuning Datasets for Statistical Machine Translation".
Robust Tuning Datasets for Statistical Machine Translation
... a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper- parameters of the SMT system more ro- bust with respect to some specific deficien- cies of the parameter ... See full document
8
Speed Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
... We address the problem of automatically finding the parameters of a statistical ma- chine translation system that maximize BLEU scores while ensuring that decoding speed ex- ceeds a minimum value. We ... See full document
10
Locally Training the Log Linear Model for SMT
... In statistical machine translation, minimum error rate training (MERT) is a standard method for tuning a single weight with regard to a given development ...since tuning is performed ... See full document
10
Taming Structured Perceptrons on Wild Feature Vectors
... of tuning feature weights in a statistical machine translation system, demon- strating the extreme scalability of the algorithm by applying it to vectors containing four to six mil- lion ... See full document
8
Better Evaluation Metrics Lead to Better Machine Translation
... The first automatic MT evaluation metric to show a high correlation with human judgment is BLEU (Papineni et al., 2002). Together with its close vari- ant the NIST metric, they have quickly become the standard way of ... See full document
10
Fast and Robust Neural Network Joint Models for Statistical Machine Translation
... In this paper we use a basic neural network ar- chitecture and a lexicalized probability model to create a powerful MT decoding feature. Specifi- cally, we introduce a novel formulation for a neu- ral network joint model ... See full document
11
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation
... state-of-the-art Statistical Machine Translation systems are based on log-linear models that combine a set of feature functions to score translation hypotheses during ...no tuning at ... See full document
16
Joint Feature Selection in Distributed Stochastic Learning for Large Scale Discriminative Training in SMT
... trained translation models and language models by explicitly down-weighting translations that exhibit certain undesired ...small tuning sets of a few thousand ...from machine learning that sug- gests ... See full document
11
Search Aware Tuning for Machine Translation
... Parameter tuning is an important problem in statistical machine translation, but surpris- ingly, most existing methods such as MERT, MIRA and PRO are agnostic about search, while search errors ... See full document
11
Stacking for Statistical Machine Translation
... (the tuning set) in the training of base models which is beneficial espe- cially when little parallel data is available or tun- ing/test sets and training sets are from different do- ... See full document
6
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... WMT15 translation task (Bojar et ...during tuning, set the LM order to a value in [7, 10] for all language pairs, and train the LM using SRILM (Stolcke, 2002) with -unk ... See full document
5
The Geometry of Statistical Machine Translation
... Although our work is framed with respect to MERT, the convex geometric description is also applicable to other error-based training methods for linear models. We believe our analysis has important ramifications because ... See full document
11
Unsupervised Statistical Machine Translation
... improve machine translation using monolingual ...unsupervised tuning and iterative re- finement procedures, has been previously used to improve ...inducing translation candidates and/or scores ... See full document
11
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- guistic ... See full document
10
Fine Tuning in Brazilian Portuguese English Statistical Transfer Machine Translation: Verbal Tenses
... of Machine Translation ...the translation is the farthest from the ref- erence translation and 1 means the translation is most similar to a human ... See full document
6
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
... the tuning dataset might be preferable since it allows (i) faster tuning, by using part of the tun- ing dataset, (ii) flexibility in the selection of the desired verbosity, and (iii) applicability to other ... See full document
11
Robust parfda Statistical Machine Translation Results
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
10
Batch Tuning Strategies for Statistical Machine Translation
... the reported scores average over multiple test sets and sub-sampled tuning runs. Using Small features, all of the tested methods are mostly indistinguish- able, but as we move to Medium and Big, Batch Lattice MIRA ... See full document
10
The Effect of Translationese on Tuning for Statistical Machine Translation
... O→T tuning is around 1, which is desired, and much lower for T→O ...O→T tuning and test sets were ...O→T tuning, whereas the scores for TER are the ...T tuning gives a bet- ter TER score than ... See full document
6
Fast and Adaptive Online Training of Feature Rich Translation Models
... for tuning statistical machine trans- lation models with large feature ...standard tuning algorithm—MERT—only scales to tens of ...pected translation quality gains in large ...and ... See full document
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