Revisiting Rule|Based and Neural Machine Translation

Revisiting Rule-Based and Neural Machine Translation - MDPI

This paper proposes a hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine translation to ...

Revisiting Rule-Based and Neural Machine Translation. - EBSCOhost

Hybrid Translation with Classification: Revisiting Rule-Based and Neural Machine Translation. Language: English; Authors: Huang, Jin-Xia1 (AUTHOR) hgh@etri ...

[PDF] Hybrid Translation with Classification: Revisiting Rule-Based ...

A hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine translation to utilize the stability of ...

Hybrid Translation with Classification: Revisiting Rule-Based and ...

This paper proposes a hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine ...

Revisiting Character-Based Neural Machine Translation with ...

Translating characters instead of words or word-fragments has the potential to simplify the processing pipeline for neural machine translation (NMT), and ...

Revisiting Character-Based Neural Machine Translation with ... - arXiv

Abstract:Translating characters instead of words or word-fragments has the potential to simplify the processing pipeline for neural machine ...

Hybrid Translation with Classification: Revisiting Rule-Based and ...

This paper proposes a hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine translation to ...

[PDF] Revisiting Character-Based Neural Machine Translation with ...

Revisiting Character-Based Neural Machine Translation with Capacity and Compression · Colin Cherry, George F. Foster, +2 authors. Wolfgang Macherey · Published in ...

Revisiting Challenges in Neural Machine Translation

WSD is big challenge for unsupervised NMT and rule-based system all neural systems at WMT18 > 81% big reduction in WSD errors in last 2 years. Rico Sennrich.

Salute the Classic: Revisiting Challenges of Machine Translation in ...

Our empirical findings indicate that LLMs effectively lessen the reliance on parallel data for major languages in the pretraining phase.

Revisiting Low-Resource Neural Machine Translation: A Case Study

It has been shown that the performance of neural machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based statistical ...

Translation quality comparison of rule-based machine translation...

This paper proposes a hybrid machine-translation system that combines neural machine translation with well-developed rule-based machine translation.

Paraphrasing Revisited with Neural Machine Translation

Experimental results across tasks and datasets show that neural paraphrases outperform those obtained with conventional phrase-based pivoting approaches. PDF ...

Progress in Machine Translation - ScienceDirect

Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT). In this article, we first ...

Neural vs Statistical Machine Translation: Revisiting the Bangla ...

We reported how the performance of the models differ based on the data and modeling techniques; consequently, we also compared the results obtained with ...

Neural Machine Translation: A Review

Revisiting character- based neural machine translation with capacity and compression. ... Better document-level machine translation with bayes' rule.

Revisiting Low-Resource Neural Machine Translation: A Case Study

It has been shown that the performance of neu- ral machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based ...

Neural machine translation: A review of methods, resources, and tools

As natural languages are inherently complex, it is difficult to cover all language irregularities with manual translation rules. With the availability of large- ...

Revisiting Negation in Neural Machine Translation - MIT Press Direct

We show that the ability of neural machine translation (NMT) models to translate negation has improved with deeper and more advanced networks, ...

A survey of context in neural machine translation and its evaluation

To this end, we discuss work on incorporating context into both human and automatic evaluations of machine translation quality. Furthermore, we ...