[PDF] Top 20 Towards Effective Use of Training Data in Statistical Machine Translation
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Towards Effective Use of Training Data in Statistical Machine Translation
... news data (139 million words for French and 100 million words for English) from the target language into the source language with a baseline system trained on Europarl and News ...obtained data hurts ... See full document
5
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
... the training data. However, one has to filter the training data ac- cording to the test data to get competitive perfor- mance with this model 1 ...and training is slow. Fur- ... See full document
9
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
... Offline data optimization results ...test data tends bias to FBIS corpus too much, we build a new test set to evalu- ate the online model optimization ...reference translation of 2005 NIST MT test ... See full document
8
Training Data in Statistical Machine Translation - the More, the Better?
... Another interesting observation can be done re- garding the TER Scores. The best TER scores were obtained, independent of the chosen lan- guage pair, for the ROGER S corpus. One expla- nation is the particular syntax of ... See full document
6
Preprocessing on bilingual data for Statistical Machine Translation
... As training data is finite and the number of possible sentences is not, it will always be possible to construct a sentence that has one or more n-grams that do not occur in the training data, ... See full document
47
Phrase Training Based Adaptation for Statistical Machine Translation
... phrase training for the task of adaptation. We use the forced alignment (FA) method (Wuebker et ...alignment training and probability estimation. We perform phrase training by running a normal ... See full document
6
Effective Selection of Translation Model Training Data
... Statistical machine translation depends heavily on large scale parallel ...for training effective translation ...domain-specific machine translation has few ... See full document
5
Parametric Weighting of Parallel Data for Statistical Machine Translation
... lel training data when building a statistical machine translation ...that training data that is close to the period of the test data is more valuable than older ... See full document
9
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates ... See full document
8
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation
... (JA-EN) translation outputs from the phrase-based SMT system on the WAT test ...parallel training data (Baseline = 0 times, Passive x1 = 1 ...pervasive use of dictionary trans- lations, with ... See full document
5
Towards a Unified Approach to Memory and Statistical Based Machine Translation
... then use them during translation. This may address the data sparseness problem that is char- acteristic to any statistical modeling effort and produce better translation ... See full document
8
Training a Statistical Machine Translation System without GIZA++
... common statistical alignment ...the translation framework using weighted Finite State Transducers ...in training is introduced in Section 4 and the alignment procedure is described in detail in ... See full document
6
Reducing the Impact of Data Sparsity in Statistical Machine Translation
... We extend the coverage of our source data by us- ing synonyms from the English WordNet (EWN). Our main motivation is to reduce the impact of OOV words on output quality by replacing words in a source sentence with ... 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 ...local training method to ... See full document
10
Transductive Minimum Error Rate Training for Statistical Machine Translation
... test data is that we expect the estima- tion procedure biases towards the test data when incorporated in the learning ...development data also plays an impor- tant role in the learning ...ment ... See full document
8
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... To train the model parameters λ M 1 of the direct trans- lation model according to Eq. 11, we use the GIS (Generalized Iterative Scaling) algorithm (Darroch and Ratcliff, 1972). It should be noted that, as was ... See full document
8
Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
... Ja→En training data so that their sizes match the largest Ru → En data for each ...during training. We incorporated early-stopping by stopping training if BLEU score for the devel- ... See full document
6
Online Large Margin Training for Statistical Machine Translation
... phrase translation pairs are ex- tracted in a standard way (Chiang, 2005): First, the bilingual data are word alignment annotated by running GIZA++ (Och and Ney, 2003) in two di- ...phrase ... See full document
10
Minimum Error Rate Training in Statistical Machine Translation
... A technically very different approach that has a similar goal is the minimum Bayes risk approach, in which an optimal decision rule with respect to an application specific risk/loss function is used, which will normally ... See full document
8
Submodularity for Data Selection in Machine Translation
... All translation systems were trained using the GIZA++/Moses infrastructure (Koehn et ...The translation model is a standard phrase-based model with a maximum phrase length of ...syntax-based ... See full document
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