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Translation

Papers

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Showing 3451–3475 of 12395 papers

TitleStatusHype
IsoVec: Controlling the Relative Isomorphism of Word Embedding SpacesCode0
Applying FrameNet to Chinese(Poetry)—0
Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale TranslationCode0
CTC Alignments Improve Autoregressive Translation—0
Self-move and Other-move: Quantum Categorical Foundations of Japanese—0
Pyramidal Transformer with Conv-Patchify for Person Re-identificationCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions—0
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance ArtCode0
ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation—0
Improving End-to-End Text Image Translation From the Auxiliary Text Translation TaskCode0
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Toxicity in Multilingual Machine Translation at Scale—0
Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translation—0
Public Transit Arrival Prediction: a Seq2Seq RNN Approach—0
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation—0
Code-Switching without Switching: Language Agnostic End-to-End Speech Translation—0
The boundaries of meaning: a case study in neural machine translation—0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Is Encoder-Decoder Transformer the Shiny Hammer?—0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Byte-based Multilingual NMT for Endangered LanguagesCode0
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All datasetsMuLD (OpenSubtitles)PhoMTOxford Radar RobotCar Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5BLEU-134.07—Unverified
2LongformerBLEU-122.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMA-Gemma-7B-IT-STBLEU56.21—Unverified
2ALMA-Gemma-7B-ITBLEU52.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s50translation error [%]1.09—Unverified