fr-en
7 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in fr-en
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CVSS
Most implemented papers
Context Based Approach for Second Language Acquisition
Our system uses a logistic regression model to predict the likelihood of a student making a mistake while answering an exercise on Duolingo in all three language tracks - English/Spanish (en/es), Spanish/English (es/en) and French/English (fr/en).
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
libeineu/Context-Aware
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ACL 2020
In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence.
Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
ntunlp/pronoun-finetuning
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EMNLP 2020
Our sentence-level model shows a 0. 5 BLEU improvement on both the WMT14 and the IWSLT13 De-En testsets, while our contextual model achieves the best results, improving from 31. 81 to 32 BLEU on WMT14 De-En testset, and from 32. 10 to 33. 13 on the IWSLT13 De-En testset, with corresponding improvements in pronoun translation.
Addressing the Vulnerability of NMT in Input Perturbations
Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations.
Unsupervised Deep Cross-Language Entity Alignment
We outperformed the state-of-the-art method in unsupervised and semi-supervised categories.
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
ictnlp/daspeech
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NeurIPS 2023
However, due to the presence of linguistic and acoustic diversity, the target speech follows a complex multimodal distribution, posing challenges to achieving both high-quality translations and fast decoding speeds for S2ST models.
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
Simultaneous speech-to-speech translation (Simul-S2ST, a. k. a streaming speech translation) outputs target speech while receiving streaming speech inputs, which is critical for real-time communication.
