[PDF] Top 20 Using Monolingual Data in Neural Machine Translation: a Systematic Study
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
... this data for MT performance? Which prop- erties of back-translated sentences actually matter for MT quality? Does BT act as some kind of regularizer (Domhan and Hieber, 2017)? Can BT be efficiently simulated? ... See full document
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Improving Neural Machine Translation Models with Monolingual Data
... of monolingual data for pure neural machine translation architec- tures was first investigated by (Gülçehre et ...train monolingual language models in- dependently, and then ... See full document
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Exploiting Source side Monolingual Data in Neural Machine Translation
... Neural Machine Translation (NMT) based on the encoder-decoder architecture has recently become a new ...target-side monolingual data can greatly enhance the decoder model of ... See full document
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Using Target side Monolingual Data for Neural Machine Translation through Multi task Learning
... Baselines Our baseline model consists of a 1- layer bi-directional LSTM encoder with an embed- ding size of 512 and a hidden size of 1024. The 1-layer LSTM decoder with 1024 hidden units uses an attention network with ... See full document
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Copied Monolingual Data Improves Low Resource Neural Machine Translation
... parallel data where monolingual data has the most ...additional monolingual data is used ...lingual data in low-resource settings, which makes sense because it relies on ... See full document
9
Exploiting Monolingual Data at Scale for Neural Machine Translation
... back translation from differ- ent views. Poncelas et al. (2018) study on how using the back translated data as a training cor- pus (separately usage or combined with bilingual data) ... See full document
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Zero Resource Neural Machine Translation with Monolingual Pivot Data
... that monolingual data from a lan- guage other than the source and target languages can aid NMT performance, complementing litera- ture on using source- and target-language mono- lingual data ... See full document
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Iterative Back Translation for Neural Machine Translation
... the monolingual data is a similar domain to the test ...Farsi translation is much more difficult than French; or a result of the diverse mix of domains in the parallel training data (news with ... See full document
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Context Aware Monolingual Repair for Neural Machine Translation
... only monolingual data to model inconsisten- cies between sentence-level ...document-level data is parallel, and translations are sampled from the source side of the sentences in a group rather than ... See full document
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Data augmentation using back translation for context aware neural machine translation
... additional data did not con- tribute to the translation quality, which indicates that the data augmentation using back-translation was not ...lel data English sentences are ... See full document
10
Active Learning for Interactive Neural Machine Translation of Data Streams
... All these works were based on SMT systems. However, the recently introduced NMT paradigm (Sutskever et al., 2014; Bahdanau et al., 2015) has irrupted as the current state-of-the-art for MT (Bo- jar et al., 2017). Several ... See full document
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Log linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post Editing
... In the second step, for each triplet from the ref- erence set we select n nearest neighbors. Candi- dates that have been chosen for one reference set triplet were excluded for the following triplets. If more than the 100 ... See full document
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Dynamic Data Selection for Neural Machine Translation
... Regarding data selection for SMT, previous work has targeted two goals; to reduce model sizes and training times, or to adapt to new ...domains. Data selection methods for domain adaptation mostly employ ... See full document
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Improving Back Translation with Uncertainty based Confidence Estimation
... abundant monolingual cor- pora to improve low-resource neural machine translation (NMT), the synthetic bilingual cor- pora generated by NMT models trained on limited authentic bilingual ... See full document
12
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation
... Czech-English neural machine translation (NMT) system to generate novel paraphrases of English ref- erence ...diversity. Using human judgments, we also demonstrate that P ARA - B ANK ’s ... See full document
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Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... and Machine Translation (MT) make use of the knowledge and expertise of professional translators and interpreters in order to build and improve models for automatic translation or for developing more ... See full document
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Reference Bias in Monolingual Machine Translation Evaluation
... ways. Using a hu- man reference as a proxy for the source sentence, we evaluate the similarity of the MT to a partic- ular reference, which does not necessarily reflect how well the contents of the original is ... See full document
6
Improving Statistical Machine Translation with Monolingual Collocation
... use monolingual collocations to improve Statistical Ma- chine Translation ...from monolingual corpora, in two aspects, namely improving word alignment for various kinds of SMT sys- tems and improving ... See full document
9
Paraphrase Fragment Extraction from Monolingual Comparable Corpora
... Figure 1 shows the pipeline of our paraphrase ac- quisition method. We evaluate quality at each stage using Amazon’s Mechanical Turk. In order to en- sure that the non-expert annotators complete the task ... See full document
9
Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation
... of machine translation, the usage of the person group requires the translation of the full as- sociation, person group plus seed, rather than us- ing the translation model as a look-up table ... See full document
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