Document Level Machine Translation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (58 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
  22 Mar 2021 2 repositories listed
  Standard automatic metrics, e.
• Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
  29 May 2025 1 repository listed
  Although MBR decoding is shown to be effective in a wide range of sentence-level text generation tasks, its performance on document-level text generation tasks is limited as many of the utility functions are designed…
• DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
  7 Apr 2025 1 repository listed
  Despite the increased discourse challenges introduced by noise from automatic speech recognition (ASR), the integration of document-level context in speech translation (ST) remains insufficiently explored.
• Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents
  13 Mar 2025 1 repository listed
  LLMs have paved the way for truly simple document-level machine translation, but challenges such as omission errors remain.
• Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
  28 Oct 2024 1 repository listed
  This work investigates the inherent capability of instruction-tuned LLMs for document-level translation (docMT).
• M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
  12 Jun 2024 1 repository listed
  Document translation poses a challenge for Neural Machine Translation (NMT) systems.
• Non-Autoregressive Document-Level Machine Translation
  22 May 2023 1 repository listed
  However, current NAT models still have a significant performance gap compared to their AT counterparts.
• Target-Side Augmentation for Document-Level Machine Translation
  8 May 2023 1 repository listed
  Document-level machine translation faces the challenge of data sparsity due to its long input length and a small amount of training data, increasing the risk of learning spurious patterns.
• Document-Level Machine Translation with Large Language Models
  5 Apr 2023 1 repository listed
  Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks.
• A Bilingual Parallel Corpus with Discourse Annotations
  26 Oct 2022 1 repository listed
  The BWB corpus consists of Chinese novels translated by experts into English, and the annotated test set is designed to probe the ability of machine translation systems to model various discourse phenomena.
• Modeling Context With Linear Attention for Scalable Document-Level Translation
  16 Oct 2022 1 repository listed
  Document-level machine translation leverages inter-sentence dependencies to produce more coherent and consistent translations.
• TANDO: A Corpus for Document-level Machine Translation
  1 Jun 2022 1 repository listed
  Document-level Neural Machine Translation aims to increase the quality of neural translation models by taking into account contextual information.
• DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence
  26 Jan 2022 1 repository listed
  Still, recent BERT-based evaluation metrics are weak in recognizing coherence, and thus are not reliable in a way to spot the discourse-level improvements of those text generation systems.
• G-Transformer for Document-level Machine Translation
  31 May 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  However, study shows that when we further enlarge the translation unit to a whole document, supervised training of Transformer can fail.
• Measuring and Increasing Context Usage in Context-Aware Machine Translation
  7 May 2021 1 repository listed
  Recent work in neural machine translation has demonstrated both the necessity and feasibility of using inter-sentential context -- context from sentences other than those currently being translated.
• Towards Making the Most of Context in Neural Machine Translation
  19 Feb 2020 1 repository listed
  Document-level machine translation manages to outperform sentence level models by a small margin, but have failed to be widely adopted.
• A Survey on Document-level Neural Machine Translation: Methods and Evaluation
  18 Dec 2019 1 repository listed
  Machine translation (MT) is an important task in natural language processing (NLP) as it automates the translation process and reduces the reliance on human translators.
• Using Coreference Links to Improve Spanish-to-English Machine Translation
  1 Apr 2017 1 repository listed
  In this paper, we present a proof-of-concept implementation of a coreference-aware decoder for document-level machine translation.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.