[PDF] Top 20 Batch Tuning Strategies for Statistical Machine Translation
Has 10000 "Batch Tuning Strategies for Statistical Machine Translation" found on our website. Below are the top 20 most common "Batch Tuning Strategies for Statistical Machine Translation".
Batch Tuning Strategies for Statistical Machine Translation
... large-margin tuning methods for SMT that can handle thousands of fea- tures. Batch lattice and k-best MIRA carry out their online training within approximated search spaces, reducing costs in terms of both ... See full document
10
A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... pivot strategies for phrase-based statistical machine transla- tion (SMT), namely phrase translation and sentence ...phrase translation strategy means that we di- rectly construct a ... See full document
8
Arabic-Segmentation Combination Strategies for Statistical Machine Translation
... We compare the resulting SMT systems based on the dif- ferent segmentation methods over the small IWSLT 2010 BTEC (Paul et al., 2010) and the large NIST 2009 Arabic- to-English 3 translation tasks. We excluded the ... See full document
6
Speed Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
... for translation speed tuning experiments and is particularly suited for low budgets and for tight ...across tuning and test sets, one possibil- ity would be to use randomized sets of ... See full document
10
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
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
An Empirical Study of Mini Batch Creation Strategies for Neural Machine Translation
... Recently, Britz et al. (2017) have released a pa- per about exploring the hyper-parameters of NMT. This work is similar to our paper in the terms of finding the better hyper-parameters by doing a large number of ... See full document
8
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
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
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
Search Aware Tuning for Machine Translation
... Parameter tuning has been a key problem for ma- chine translation since the statistical ...existing tuning algorithms treat the decoder as a black box (Och, 2003; Hopkins and May, 2011; ... See full document
11
A Semi Supervised Batch Mode Active Learning Strategy for Improved Statistical Machine Translation
... individual translation pairs, a batch of sentences is usually selected at each ...each batch be suffi- ciently diverse; this increases the number of con- cepts (phrase pairs, translation ... See full document
9
Stacking for Statistical Machine Translation
... to statistical machine translation (SMT) and our method is the first to successfully exploit stacking for statistical machine ...standard statistical machine ... See full document
6
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
Robust Tuning Datasets for Statistical Machine Translation
... the tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter ... See full document
8
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
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
... verbosity tuning datasets will perform better in this ...longer tuning datasets could yield better ...when tuning on MT06, or subsets thereof, and testing on ...the tuning set has stronger ... See full document
11
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
11
Statistical Machine Translation by Parsing
... The class of synchronous parsers includes some algorithms for word alignment. A translation lexi- con (weighted or not) can be viewed as a degenerate MTG (not in GCNF) where every production has a link of ... See full document
8
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
Related subjects