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Machine Translation

365 papers with code · 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 with code

BERTScore: Evaluating Text Generation with BERT

21 Apr 2019Tiiiger/bert_score

We propose BERTScore, an automatic evaluation metric for text generation.

IMAGE CAPTIONING MACHINE TRANSLATION TEXT GENERATION

15
21 Apr 2019

Parallelizable Stack Long Short-Term Memory

6 Apr 2019shuoyangd/hoolock

Stack Long Short-Term Memory (StackLSTM) is useful for various applications such as parsing and string-to-tree neural machine translation, but it is also known to be notoriously difficult to parallelize for GPU training due to the fact that the computations are dependent on discrete operations.

MACHINE TRANSLATION

7
06 Apr 2019

A Large-Scale Comparison of Historical Text Normalization Systems

3 Apr 2019coastalcph/histnorm

There is no consensus on the state-of-the-art approach to historical text normalization.

MACHINE TRANSLATION

4
03 Apr 2019

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

19 Mar 2019neulab/compare-mt

In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the results of systems for language generation tasks such as machine translation.

MACHINE TRANSLATION TEXT GENERATION

190
19 Mar 2019

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

15 Mar 2019pmichel31415/teapot-nlp

Adversarial examples --- perturbations to the input of a model that elicit large changes in the output --- have been shown to be an effective way of assessing the robustness of sequence-to-sequence (seq2seq) models.

MACHINE TRANSLATION

34
15 Mar 2019

Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

13 Mar 2019mast-group/OpenVocabCodeNLM

We present a new open-vocabulary neural language model for code that is not limited to a fixed vocabulary of identifier names.

LANGUAGE MODELLING MACHINE TRANSLATION

14
13 Mar 2019

Lost in Machine Translation: A Method to Reduce Meaning Loss

25 Feb 2019reubenharry/pragmatic-translation

A desideratum of high-quality translation systems is that they preserve meaning, in the sense that two sentences with different meanings should not translate to one and the same sentence in another language.

MACHINE TRANSLATION

0
25 Feb 2019

Synchronous Bidirectional Inference for Neural Sequence Generation

24 Feb 2019ZNLP/sb-nmt

In this work, we propose a synchronous bidirectional inference model to generate outputs using both left-to-right and right-to-left decoding simultaneously and interactively.

ABSTRACTIVE TEXT SUMMARIZATION MACHINE TRANSLATION

26
24 Feb 2019

Mixture Models for Diverse Machine Translation: Tricks of the Trade

20 Feb 2019pytorch/fairseq

Mixture models trained via EM are among the simplest, most widely used and well understood latent variable models in the machine learning literature.

MACHINE TRANSLATION TEXT GENERATION

3,587
20 Feb 2019

Semantic Neural Machine Translation using AMR

19 Feb 2019freesunshine0316/semantic-nmt

It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many sentences correspond to one meaning) of machine translation models.

MACHINE TRANSLATION

2
19 Feb 2019