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Machine Translation

405 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

Deep learning based unsupervised concept unification in the embedding space

5 Jun 2019kagi-ai/concept-unification

Thus, we may have a description of perceived reality on at least two levels and the translation map between them is in general, due to their different content corpus, one-to-many.

MACHINE TRANSLATION

1
05 Jun 2019

Resolving Gendered Ambiguous Pronouns with BERT

3 Jun 2019Yorko/gender-unbiased_BERT-based_pronoun_resolution

Pronoun resolution is part of coreference resolution, the task of pairing an expression to its referring entity.

COREFERENCE RESOLUTION MACHINE TRANSLATION

29
03 Jun 2019

Assessing the Ability of Self-Attention Networks to Learn Word Order

3 Jun 2019baosongyang/WRD

Self-attention networks (SAN) have attracted a lot of interests due to their high parallelization and strong performance on a variety of NLP tasks, e. g. machine translation.

MACHINE TRANSLATION

3
03 Jun 2019

Revisiting NMT for Normalization of Early English Letters

HLT 2019 mikahama/natas

This paper studies the use of NMT (neural machine translation) as a normalization method for an early English letter corpus.

LEMMATIZATION MACHINE TRANSLATION

3
01 Jun 2019

DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation

30 May 2019rbawden/DiaBLa-dataset

The motivation for the corpus is two-fold: to provide (i) a unique resource for evaluating MT models, and (ii) a corpus for the analysis of MT-mediated communication.

MACHINE TRANSLATION

3
30 May 2019

Guiding Theorem Proving by Recurrent Neural Networks

20 May 2019BartoszPiotrowski/rnn-for-proving-data

We describe two theorem proving tasks -- premise selection and internal guidance -- for which machine learning has been recently used with some success.

AUTOMATED THEOREM PROVING MACHINE TRANSLATION

1
20 May 2019

Joint Source-Target Self Attention with Locality Constraints

16 May 2019jarfo/joint

The dominant neural machine translation models are based on the encoder-decoder structure, and many of them rely on an unconstrained receptive field over source and target sequences.

LANGUAGE MODELLING MACHINE TRANSLATION

4
16 May 2019

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies

14 May 2019yunsukim86/sockeye-transfer

Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is limited to cognate languages by sharing their vocabularies.

CROSS-LINGUAL TRANSFER LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING

0
14 May 2019

Synchronous Bidirectional Neural Machine Translation

TACL 2019 ZNLP/sb-nmt

In this paper, we introduce a synchronous bidirectional neural machine translation (SB-NMT) that predicts its outputs using left-to-right and right-to-left decoding simultaneously and interactively, in order to leverage both of the history and future information at the same time.

MACHINE TRANSLATION

53
13 May 2019

MASS: Masked Sequence to Sequence Pre-training for Language Generation

7 May 2019TommyWongww/reading-notes

Pre-training and fine-tuning, e. g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the low/zero-resource downstream tasks.

LANGUAGE MODELLING MACHINE TRANSLATION TEXT GENERATION TEXT SUMMARIZATION

1
07 May 2019