[PDF] Top 20 The Effect of Translationese on Tuning for Statistical Machine Translation
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The Effect of Translationese on Tuning for Statistical Machine Translation
... To get some further insight we performed a small, thus quite limited, human evaluation for German → English. A comparison on the O → T test set, between O→T and T→O tuning is shown in Table 4. The O→T system is ... See full document
6
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
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
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
... 6.1.1 Type–Token Ratio. Translated texts have been shown to have lower type-to-token ratio (TTR) than original ones (Al-Shabab 1996). Figure 1 compares the TTR of the trans- lation outputs of S → T, T → S, UNION, and ... See full document
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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
Robust Tuning Datasets for Statistical Machine Translation
... that tuning on longer sentences yields better results than tuning on shorter ...the tuning sentences, we can effectively control the verbosity that PRO ...of tuning data that matters but ... See full document
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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
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Statistical Machine Translation with Automatic Identification of Translationese
... construct translation mod- els: we only use the chunks predicted as translated in the right ...that translation models built from such training data are better for ...its translation model the por- ... See full document
11
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
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
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
Fine Tuning in Brazilian Portuguese English Statistical Transfer Machine Translation: Verbal Tenses
... Figure 2.The graphic shows evaluation results of a sam- ple of 489 sentences distributed across all verbal tense, mood, number and person in English during the initial stage and the current stage of the development of ... See full document
6
Better Evaluation Metrics Lead to Better Machine Translation
... a tuning algorithm, typically MERT (Minimum Error Rate Training) (Och, 2003), though the exact method is not important for our ...The tuning algorithm carries out repeated experiments with different decoder ... See full document
10
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... sparseness effect over the dataset, which is consistent with the automatic evaluation BLEU ...online translation service provided by ...reference translation) may be because our test data are not ... See full document
10
Speed Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
... in machine learn- ing systems (Snoek et ...weight tuning and report better results in some language pairs when compared to traditional tuning ... See full document
10
On Statistical Machine Translation and Translation Theory
... in translation studies, which has been named the cultural turn (Lefevere and Bassnett, 1995; Snell-Hornby, ...to translation is their emphasis on the communicative aspects of trans- ...lation. ... See full document
5
The Effect of Translationese in Machine Translation Test Sets
... the effect of translationese in bidirectional test sets, commonly used in machine translation shared tasks, by con- ducting a series of experiments on data sets for 17 translation ... See full document
9
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
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
AN OVERVIEW OF COMPUTATIONAL LINGUISTICS AND MALAYALAM
... Aneena George [9] proposed an SMT system based approach for English to Malayalam conversion. In order to build an SMT it uses the probabilistic model. Parallel corpus is aligned by Berkeley word aligner and Hidden Markov ... See full document
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