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Machine Translation

405 papers with code ยท Natural Language Processing

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

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Latest papers without code

Unsupervised Pivot Translation for Distant Languages

6 Jun 2019

In this work, we introduce unsupervised pivot translation for distant languages, which translates a language to a distant language through multiple hops, and the unsupervised translation on each hop is relatively easier than the original direct translation.

MACHINE TRANSLATION

Bridging the Gap between Training and Inference for Neural Machine Translation

6 Jun 2019

Neural Machine Translation (NMT) generates target words sequentially in the way of predicting the next word conditioned on the context words.

MACHINE TRANSLATION

Robust Neural Machine Translation with Doubly Adversarial Inputs

6 Jun 2019

Neural machine translation (NMT) often suffers from the vulnerability to noisy perturbations in the input.

MACHINE TRANSLATION

Imitation Learning for Non-Autoregressive Neural Machine Translation

5 Jun 2019

Non-autoregressive translation models (NAT) have achieved impressive inference speedup.

IMITATION LEARNING MACHINE TRANSLATION

Efficient, Lexicon-Free OCR using Deep Learning

5 Jun 2019

Contrary to popular belief, Optical Character Recognition (OCR) remains a challenging problem when text occurs in unconstrained environments, like natural scenes, due to geometrical distortions, complex backgrounds, and diverse fonts.

DATA AUGMENTATION LANGUAGE MODELLING MACHINE TRANSLATION OPTICAL CHARACTER RECOGNITION

Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron

5 Jun 2019

We propose a novel model architecture and training algorithm to learn bilingual sentence embeddings from a combination of parallel and monolingual data.

MACHINE TRANSLATION SENTENCE EMBEDDINGS

Learning Deep Transformer Models for Machine Translation

5 Jun 2019

Transformer is the state-of-the-art model in recent machine translation evaluations.

MACHINE TRANSLATION

KERMIT: Generative Insertion-Based Modeling for Sequences

4 Jun 2019

During training, one can feed KERMIT paired data $(x, y)$ to learn the joint distribution $p(x, y)$, and optionally mix in unpaired data $x$ or $y$ to refine the marginals $p(x)$ or $p(y)$.

MACHINE TRANSLATION QUESTION ANSWERING REPRESENTATION LEARNING

Lattice-Based Transformer Encoder for Neural Machine Translation

4 Jun 2019

To integrate different segmentations with the state-of-the-art NMT model, Transformer, we propose lattice-based encoders to explore effective word or subword representation in an automatic way during training.

MACHINE TRANSLATION

Exploiting Sentential Context for Neural Machine Translation

4 Jun 2019

In this work, we present novel approaches to exploit sentential context for neural machine translation (NMT).

MACHINE TRANSLATION