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[PDF] Top 20 UCSMNLP: Statistical Machine Translation for WAT 2019

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UCSMNLP: Statistical Machine Translation for WAT 2019

UCSMNLP: Statistical Machine Translation for WAT 2019

... of Translation with Explicit Ordering (METEOR) (Denkowski, ...100 translation candidates (N=100) which impact on reranking model because of consideration of similarity between translations in n-best ... See full document

5

UCSYNLP Lab Machine Translation Systems for WAT 2019

UCSYNLP Lab Machine Translation Systems for WAT 2019

... Neural Machine Translation (NMT) (Bahdanau et ...traditional Statistical Machine Translation (SMT) ...the machine translation based on neural ...the WAT 2019 ... See full document

5

Neural Machine Translation System using a Content equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019

Neural Machine Translation System using a Content equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019

... the WAT 2019 organizer, we developed a corpus of ...the translation models adapted to the Equivalent- style achieved the best results for the pairwise crowdsourcing evaluation and JPO adequacy eval- ... See full document

6

NAVER Machine Translation System for WAT 2015

NAVER Machine Translation System for WAT 2015

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based statistical ... See full document

5

Proceedings of the 4th Workshop on Asian Translation (WAT2017)

Proceedings of the 4th Workshop on Asian Translation (WAT2017)

... neural machine translation has revolutionised the field of machine translation, and now re- sults in many research tasks keep improving every ...improved translation quality, but have ... See full document

12

Statistical machine translation based on translation rules

Statistical machine translation based on translation rules

... Statistical machine translation is also called data-driven translation in which leaning technology is automatically ...rule-based machine translation uses rules to express ... See full document

8

Idiap NMT System for WAT 2019 Multimodal Translation Task

Idiap NMT System for WAT 2019 Multimodal Translation Task

... in translation studies, although the benefit of visual modal- ity in machine translation is still in debate (Caglayan et ...al., 2019). The main motiva- tion in multi-modal research in ... See full document

6

Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019

Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019

... News Commentary shared task of the 6th Work- shop on Asian Translation (Nakazawa et al., 2019) addresses Japanese ↔ Russian (Ja ↔ Ru) news translation. It is a very challenging task considering: (a) ... See full document

6

The SAS Statistical Machine Translation System for WAT 2014

The SAS Statistical Machine Translation System for WAT 2014

... We use phrase-based model as baseline for the Chinese to Japanese track to evaluate the effect of SAS segmentation tool. The result of baseline is provided by the WAT organizer (Toshiaki, et al. 2014). Table 1 ... See full document

5

IITP English Hindi Machine Translation System at WAT 2016

IITP English Hindi Machine Translation System at WAT 2016

... Asian Translation (WAT) 2016 (Nakazawa et ...for translation task for the first time in ...on Statistical Machine Translation (SMT) ... See full document

7

Our Neural Machine Translation Systems for WAT 2019

Our Neural Machine Translation Systems for WAT 2019

... subword segmentation to further segment words for preparing the final experimental data. Because some previous work has used subwords as a way for addressing unseen word or rare word problems in machine ... See full document

6

NTT Neural Machine Translation Systems at WAT 2019

NTT Neural Machine Translation Systems at WAT 2019

... shared translation tasks at WAT 2019 (Nakazawa et ...En) translation directions, we submitted En-Ja and Ja-En systems for the scientific paper subtask and two Ja-En systems (texts, items) for ... See full document

7

Unsupervised Statistical Machine Translation

Unsupervised Statistical Machine Translation

... them. So as to translate longer sequences, the decoder combines these partial n-gram trans- lations, and ranks the resulting candidates ac- cording to their corresponding scores and the rest of scoring functions. In ... See full document

11

The Geometry of Statistical Machine Translation

The Geometry of Statistical Machine Translation

... Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate training ... See full document

11

Stacking for Statistical Machine Translation

Stacking for Statistical Machine Translation

... in statistical parsing: Nivre and McDonald (2008) integrated two models for dependency parsing by letting one model learn from features generated by the other; ...for statistical parsing: i) the diversity ... See full document

6

A Statistical Approach to Machine Translation

A Statistical Approach to Machine Translation

... Although the interaction of these two factors can be quite profound, it may help the reader to think o f the translation probability as suggesting words from the source language t h at m[r] ... See full document

7

Statistical Machine Translation by Parsing

Statistical Machine Translation by Parsing

... This paper has presented generalizations of ordinary parsing that emerge when the grammar and/or the input can be multidimensional. Along the way, it has elucidated the relationships between ordinary parsers and other ... See full document

8

ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics

ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics

... given translation task allows us to train higher order language models, model longer range dependencies better, and achieve lower perplexity as shown in Table ... See full document

5

Improving Pronoun Translation for Statistical Machine Translation

Improving Pronoun Translation for Statistical Machine Translation

... Czech translation of the head of the English antecedent should be the same in the output of ...single-step translation systems such as that used by Hardmeier & Federico ... See full document

10

Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... to statistical machine translation relies on the word-based trans- lation model to describe the translation process ...word-to-word translation often fails to capture all properties of ... See full document

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