[PDF] Top 20 Improving Translation Model by Monolingual Data
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Improving Translation Model by Monolingual Data
... lel data (500 thousand to 5 million sentences) and its effect on reverse self-training ...of monolingual data was always 5 million ...test data word forms covered by the training ...parallel ... See full document
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Exploiting Monolingual Data at Scale for Neural Machine Translation
... NMT model, there has been several works investigating back translation from differ- ent ...translated data as a training cor- pus (separately usage or combined with bilingual data) affects the ... See full document
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A Monolingual Tree based Translation Model for Sentence Simplification
... machine translation (SMT) (Yamada and Knight, 2001; Yamada and Knight, 2002; Graehl et ...Our model in- tegrally covers splitting, dropping, reordering and phrase/word ...our model can be efficiently ... See full document
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Unsupervised Paraphrasing without Translation
... residual model outperforms alternatives in all identification set- ting, except for STS, where our Pearson correla- tion is slightly under supervised ...for Data Augmentation We aug- ment the training set ... See full document
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Robust Machine Translation with Domain Sensitive Pseudo Sources: Baidu OSU WMT19 MT Robustness Shared Task System Report
... machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared ...Task. Translation of social media is a very challeng- ... See full document
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Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... about translation model adaptation focused on parallel data ...in-domain translation dictionary and monolingual corpora to adapt an out-of-domain translation model for the ... See full document
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Learning a Phrase based Translation Model from Monolingual Data with Application to Domain Adaptation
... new translation knowledge: 1) word reordering in a phrase pair; 2) idioms; and 3) unknown word ...lingual data, each word in the source phrase has a translation in the target phrase, but the word ... See full document
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Generalizing Back Translation in Neural Machine Translation
... — data augmentation by translating target monolingual data — is a crucial component in modern neural machine translation ...NMT model, clari- fying its underlying mathematical ... See full document
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Graph based Semi Supervised Learning of Translation Models from Monolingual Data
... method and also to highlight properties of the technique. With it, in §3.2 we first analyzed the impact of utilizing phrases instead of words and SLP instead of LP; the latter experiment under- scores the importance of ... See full document
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Referential Translation Machines for Predicting Translation Quality
... referential translation machines (RTM) for quality estimation of translation ...computational model for identifying the translation acts between any two data sets with respect to ... See full document
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Exploiting Source side Monolingual Data in Neural Machine Translation
... source-side monolingual data in con- ventional SMT with a self-learning ...more translation rules in SMT and we also adapt a multi-task learning framework to take full advantage of the source-side ... See full document
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The University of Sydney’s Machine Translation System for WMT19
... cle translation procedure, we first report our ex- perimental results on validation data set with dif- ferent thresholds, which ranges from [0%, 25%, 50%, ...of monolingual sentences afforded by ... See full document
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Copied Monolingual Data Improves Low Resource Neural Machine Translation
... parallel data by translating target-language mono- lingual text into the source ...parallel data. They then used this model to translate the monolingual corpus from the target language to the ... See full document
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Iterative Back Translation for Neural Machine Translation
... fast translation, ...the monolingual data into smaller parts and distribute these parts over different ...the model in each iteration, which we do 2-3 ...back translation is quite ... See full document
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
... parallel data following the strategy often referred to as “fine-tuning”: upon convergence of the base- line model, we resume training with a 2M sentence in-domain corpus mixed with an equal amount of ... See full document
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Zero Resource Neural Machine Translation with Monolingual Pivot Data
... machine translation (NMT) is a framework that uses source-pivot and target-pivot parallel data to train a source- target NMT ...incorporating monolingual data in the pivot language into ... See full document
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Sentence Simplification by Monolingual Machine Translation
... simplification model. GIZA++ utilizes IBM Models 1 to 5 and an HMM word alignment model to find statistically motivated alignments between ...all data and use all unique sentences from the Simple ... See full document
10
Improving Statistical Machine Translation with Monolingual Collocation
... To investigate the effectiveness of the method proposed in section 4, we only use the colloca- tion model CM-3 as described in section 5.1. The results are shown in Table 5. When the phrase collocation ... See full document
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Improving Translation Selection with a New Translation Model Trained by Independent Monolingual Corpora
... machine translation module which is to be used for cross-language information ...two monolingual dependency triple databases with the help of a simple Chinese-English ...word translation ... See full document
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Monolingual Machine Translation for Paraphrase Generation
... ing data is inherently noisy, having more in common with analogous corpora than conventional MT parallel corpora in that the paraphrases are not constrained by the source text ...additional data will ... See full document
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