Document Translation
7 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Document Translation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CodeXGLUE
Most implemented papers
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Benchmark datasets have a significant impact on accelerating research in programming language tasks.
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
In this work, we propose the task of translating Bilingual Multi-Speaker Conversations, and explore neural architectures which exploit both source and target-side conversation histories for this task.
Pre-training via Paraphrasing
lucidrains/marge-pytorch
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NeurIPS 2020
The objective noisily captures aspects of paraphrase, translation, multi-document summarization, and information retrieval, allowing for strong zero-shot performance on several tasks.
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task
We present CLIReval, an easy-to-use toolkit for evaluating machine translation (MT) with the proxy task of cross-lingual information retrieval (CLIR).
Rethinking Document-level Neural Machine Translation
This paper does not aim at introducing a novel model for document-level neural machine translation.
UDAAN - Machine Learning based Post-Editing tool for Document Translation
Replacements are based on the source and target texts lexicon alignment.
