de-en

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

30 shown of 33 papers with code (82 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.

• Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule
  9 Mar 2020 5 repositories listed
  Several papers argue that wide minima generalize better than narrow minima.
• BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
  17 Feb 2020 5 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  We also apply BatchEnsemble to lifelong learning, where on Split-CIFAR-100, BatchEnsemble yields comparable performance to progressive neural networks while having a much lower computational and memory costs.
• STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework
  19 Oct 2018 3 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Simultaneous translation, which translates sentences before they are finished, is useful in many scenarios but is notoriously difficult due to word-order differences.
• BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
  9 Sep 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  The success of bidirectional encoders using masked language models, such as BERT, on numerous natural language processing tasks has prompted researchers to attempt to incorporate these pre-trained models into neural…
• Fully Character-Level Neural Machine Translation without Explicit Segmentation
  10 Oct 2016 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  We observe that on CS-EN, FI-EN and RU-EN, the quality of the multilingual character-level translation even surpasses the models specifically trained on that language pair alone, both in terms of BLEU score and human…
• A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
  19 Mar 2016 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  The existing machine translation systems, whether phrase-based or neural, have relied almost exclusively on word-level modelling with explicit segmentation.
• StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
  5 Jun 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Simultaneous speech-to-speech translation (Simul-S2ST, a.
• Rethinking the adaptive relationship between Encoder Layers and Decoder Layers
  14 May 2024 1 repository listed
  This article explores the adaptive relationship between Encoder Layers and Decoder Layers using the SOTA model Helsinki-NLP/opus-mt-de-en, which translates German to English.
• Centroid-Based Efficient Minimum Bayes Risk Decoding
  17 Feb 2024 1 repository listed
  Minimum Bayes risk (MBR) decoding achieved state-of-the-art translation performance by using COMET, a neural metric that has a high correlation with human evaluation.
• Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES
  30 Oct 2023 1 repository listed
  As part of the WMT-2023 "Test suites" shared task, in this paper we summarize the results of two test suites evaluations: MuST-SHE-WMT23 and INES.
• MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
  20 Oct 2023 1 repository listed
  There is a lack of research into capabilities of recent LLMs to generate convincing text in languages other than English and into performance of detectors of machine-generated text in multilingual settings.
• On Synthetic Data for Back Translation
  20 Oct 2023 1 repository listed
  Back translation (BT) is one of the most significant technologies in NMT research fields.
• Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT
  2 Jun 2023 1 repository listed
  Subword tokenization is the de facto standard for tokenization in neural language models and machine translation systems.
• Back Translation for Speech-to-text Translation Without Transcripts
  15 May 2023 1 repository listed
  Motivated by the remarkable success of back translation in MT, we develop a back translation algorithm for ST (BT4ST) to synthesize pseudo ST data from monolingual target data.
• Escaping the sentence-level paradigm in machine translation
  25 Apr 2023 1 repository listed
  It is well-known that document context is vital for resolving a range of translation ambiguities, and in fact the document setting is the most natural setting for nearly all translation.
• Speculative Decoding with Big Little Decoder
  15 Feb 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  To address this, we propose Big Little Decoder (BiLD), a framework that can improve inference efficiency and latency for a wide range of text generation applications.
• Vega-MT: The JD Explore Academy Translation System for WMT22
  20 Sep 2022 1 repository listed
  As for model sizes, we scale the Transformer-Big up to the extremely large model that owns nearly 4.
• DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation
  7 Jun 2022 1 repository listed
  The student is optimized to predict the output of the teacher after multiple decoding steps while the teacher follows the student via a slow-moving average.
• Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
  6 Jun 2022 1 repository listed
  We introduce Bi-SimCut: a simple but effective training strategy to boost neural machine translation (NMT) performance.
• Gaussian Multi-head Attention for Simultaneous Machine Translation
  17 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  For SiMT policy, GMA models the aligned source position of each target word, and accordingly waits until its aligned position to start translating.
• Modeling Dual Read/Write Paths for Simultaneous Machine Translation
  17 Mar 2022 1 repository listed Syntology ran 4 of 9 samples · 5 unverified
  According to duality constraints, the read/write path in source-to-target and target-to-source SiMT models can be mapped to each other.
• Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
  10 Feb 2022 1 repository listed
  Neural metrics have achieved impressive correlation with human judgements in the evaluation of machine translation systems, but before we can safely optimise towards such metrics, we should be aware of (and ideally…
• Learning and Analyzing Generation Order for Undirected Sequence Models
  16 Dec 2021 1 repository listed
  On examples with a maximum source and target length of 30 from De-En, WMT'16 English-Romanian, and WMT'21 English-Chinese translation tasks, our learned order outperforms all heuristic generation orders on four out of…
• Learning to Rewrite for Non-Autoregressive Neural Machine Translation
  1 Nov 2021 1 repository listed
  Towards keeping the consistency of data distribution with iterative decoding, an iterative training strategy is employed to further improve the capacity of rewriting.
• Revisiting Negation in Neural Machine Translation
  26 Jul 2021 1 repository listed
  In this paper, we evaluate the translation of negation both automatically and manually, in English--German (EN--DE) and English--Chinese (EN--ZH).
• Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
  18 Apr 2021 1 repository listed
  In the lowest-resource setting, we outperform GIZA++ by 8.
• OmniNet: Omnidirectional Representations from Transformers
  1 Mar 2021 1 repository listed
  In OmniNet, instead of maintaining a strictly horizontal receptive field, each token is allowed to attend to all tokens in the entire network.
• Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation
  1 Nov 2020 1 repository listed
  Prior to fine-tuning, our method replaces the embedding layers of the NMT model by projecting general word embeddings induced from monolingual data in a target domain onto a source-domain embedding space.
• Findings of the WMT 2020 Shared Task on Chat Translation
  1 Nov 2020 1 repository listed
  We report the results of the first edition of the WMT shared task on chat translation.
• Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
  15 Oct 2020 1 repository listed
  Our sentence-level model shows a 0.

Syntology lines on 9 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.