Ненаблюдаемая нейронная машинная перевод

method ID: unsupervisedneuralmachinetranslation

Related Papers

Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractUnsupervised bilingual word embedding (UBWE), together with other technologies such as back-translation and denoising, has helped unsupervised neural machine translation (UNMT) achieve remarkable results in several language pairs. In previous …...

39840

Filtering Back-Translated Data in Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUnsupervised neural machine translation (NMT) utilizes only monolingual data for training. The quality of back-translated data plays an important role in the performance of NMT systems. In back-translation, all generated …...

3981

Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUnsupervised neural machine translation (UNMT) has recently achieved remarkable results for several language pairs. However, it can only translate between a single language pair and cannot produce translation results for …...

37787

Reference Language based Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractExploiting a common language as an auxiliary for better translation has a long tradition in machine translation and lets supervised learning-based machine translation enjoy the enhancement delivered by the well-used …...

32112

Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUsing a language model (LM) pretrained on two languages with large monolingual data in order to initialize an unsupervised neural machine translation (UNMT) system yields state-of-the-art results. When limited data …...

30674

Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUnsupervised neural machine translation (UNMT) has recently attracted great interest in the machine translation community. The main advantage of the UNMT lies in its easy collection of required large training …...

3998

The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the submission of LMU Munich to the WMT 2020 unsupervised shared task, in two language directions, German↔Upper Sorbian. Our core unsupervised neural machine translation (UNMT) system follows …...

27500

Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecent advances in Unsupervised Neural Machine Translation (UNMT) has minimized the gap between supervised and unsupervised machine translation performance for closely related language-pairs. However and the situation is very different …...

18384

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSuccessful methods for unsupervised neural machine translation (UNMT) employ cross-lingual pretraining via self-supervision, often in the form of a masked language modeling or a sequence generation task, which requires the …...

21856

Scrambled Translation Problem: A Problem of Denoising UNMT

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper and we identify an interesting kind of error in the output of Unsupervised Neural Machine Translation (UNMT) systems like Undreamt1. We refer to this error type as …...

18376

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractBack-translation is a critical component of Unsupervised Neural Machine Translation (UNMT), which generates pseudo parallel data from target monolingual data. A UNMT model is trained on the pseudo parallel data …...

38931

Vocabulary-informed Language Encoding

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractA Multilingual model relies on language encodings to identify input languages because the multilingual model has to distinguish between the input and output languages or among all the languages for …...

4791

On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractAlthough unsupervised neural machine translation (UNMT) has achieved success in many language pairs, the copying problem, i.e., directly copying some parts of the input sentence as the translation, is common …...

20554