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Machine translation is the task of translating a sentence in a source language to a different target language

( Image credit: Google seq2seq )

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Latest papers without code

Aligning Subtitles in Sign Language Videos

6 May 2021

The goal of this work is to temporally align asynchronous subtitles in sign language videos.

MACHINE TRANSLATION

Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution

4 May 2021

In this paper, we investigate the driving factors behind concatenation, a simple but effective data augmentation method for low-resource neural machine translation.

DATA AUGMENTATION LOW-RESOURCE NEURAL MACHINE TRANSLATION

Reranking Machine Translation Hypotheses with Structured and Web-based Language Models

25 Apr 2021

In this paper, we investigate the use of linguistically motivated and computationally efficient structured language models for reranking N-best hypotheses in a statistical machine translation system.

LANGUAGE MODELLING MACHINE TRANSLATION RE-RANKING

Automatic Post-Editing for Translating Chinese Novels to Vietnamese

25 Apr 2021

Automatic post-editing (APE) is an important remedy for reducing errors of raw translated texts that are produced by machine translation (MT) systems or software-aided translation.

AUTOMATIC POST-EDITING

Modeling Coverage for Non-Autoregressive Neural Machine Translation

24 Apr 2021

Non-Autoregressive Neural Machine Translation (NAT) has achieved significant inference speedup by generating all tokens simultaneously.

MACHINE TRANSLATION

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs

21 Apr 2021

Recent studies emphasize the need of document context in human evaluation of machine translations, but little research has been done on the impact of user interfaces on annotator productivity and the reliability of assessments.

DOCUMENT-LEVEL MACHINE TRANSLATION

End-to-end Speech Translation via Cross-modal Progressive Training

21 Apr 2021

End-to-end speech translation models have become a new trend in the research due to their potential of reducing error propagation.

MACHINE TRANSLATION SPEECH-TO-TEXT TRANSLATION

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

20 Apr 2021

Extensive experimental results on various SOD and COD tasks (fully supervised RGB image based SOD, fully supervised RGB-D image pair based SOD, weakly supervised SOD via scribble supervision, and fully supervised RGB image based COD) illustrate that transformer networks can transform salient object detection and camouflaged object detection, leading to new benchmarks for each related task.

CAMOUFLAGED OBJECT SEGMENTATION MACHINE TRANSLATION SALIENT OBJECT DETECTION SELF-SUPERVISED LEARNING SEMANTIC SEGMENTATION

Grammatical Error Generation Based on Translated Fragments

20 Apr 2021

We perform neural machine translation of sentence fragments in order to create large amounts of training data for English grammatical error correction.

GRAMMATICAL ERROR CORRECTION MACHINE TRANSLATION

Addressing the Vulnerability of NMT in Input Perturbations

20 Apr 2021

Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations.

MACHINE TRANSLATION