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Hits 1 – 20 of 66
1
Pushing the right buttons: adversarial evaluation of quality estimation
Specia, Lucia
;
Fomicheva, Marina
;
Ranasinghe, Tharindu
...
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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2
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Sanjeev
;
Koehn, Philipp
. - : Underline Science Inc., 2021
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3
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
Kumar, Gaurav
;
Koehn, Philipp
;
Khudanpur, Sanjeev
. - : arXiv, 2021
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4
Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions ...
Xu, Haoran
;
Koehn, Philipp
. - : arXiv, 2021
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5
Learning Policies for Multilingual Training of Neural Machine Translation Systems ...
Kumar, Gaurav
;
Koehn, Philipp
;
Khudanpur, Sanjeev
. - : arXiv, 2021
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6
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation ...
Xu, Haoran
;
Koehn, Philipp
. - : arXiv, 2021
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7
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry ...
Marchisio, Kelly
;
Xiong, Conghao
;
Koehn, Philipp
. - : arXiv, 2021
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8
Facebook AI WMT21 News Translation Task Submission ...
Tran, Chau
;
Bhosale, Shruti
;
Cross, James
. - : arXiv, 2021
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9
Levenshtein Training for Word-level Quality Estimation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Matt
;
Ding, Shuoyang
. - : Underline Science Inc., 2021
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10
Alternative Input Signals Ease Transfer in Multilingual Machine Translation ...
Sun, Simeng
;
Fan, Angela
;
Cross, James
;
Chaudhary, Vishrav
;
Tran, Chau
;
Koehn, Philipp
;
Guzman, Francisco
. - : arXiv, 2021
Abstract:
Recent work in multilingual machine translation (MMT) has focused on the potential of positive transfer between languages, particularly cases where higher-resourced languages can benefit lower-resourced ones. While training an MMT model, the supervision signals learned from one language pair can be transferred to the other via the tokens shared by multiple source languages. However, the transfer is inhibited when the token overlap among source languages is small, which manifests naturally when languages use different writing systems. In this paper, we tackle inhibited transfer by augmenting the training data with alternative signals that unify different writing systems, such as phonetic, romanized, and transliterated input. We test these signals on Indic and Turkic languages, two language families where the writing systems differ but languages still share common features. Our results indicate that a straightforward multi-source self-ensemble -- training a model on a mixture of various signals and ensembling ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2110.07804
https://arxiv.org/abs/2110.07804
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11
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ...
Marchisio, Kelly
;
Park, Youngser
;
Saad-Eldin, Ali
. - : arXiv, 2021
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12
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment ...
El-Kishky, Ahmed
;
Renduchintala, Adithya
;
Cross, James
. - : arXiv, 2021
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13
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ...
Ko, Wei-Jen
;
El-Kishky, Ahmed
;
Renduchintala, Adithya
. - : arXiv, 2021
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14
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Ali
;
Alyakin, Anyon
. - : Underline Science Inc., 2021
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15
Neural machine translation
Koehn, Philipp
. - Cambridge : Cambridge University Press, 2020
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UB Frankfurt Linguistik
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16
Exploiting Sentence Order in Document Alignment ...
Thompson, Brian
;
Koehn, Philipp
. - : arXiv, 2020
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17
A user study of neural interactive translation prediction [<Journal>]
Knowles, Rebecca
[Verfasser];
Sanchez-Torron, Marina
[Verfasser];
Koehn, Philipp
[Verfasser]
DNB Subject Category Language
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18
Findings of the 2018 conference on machine translation (WMT18)
Federmann, Christian
;
Koehn, Philipp
;
Monz, Christof
...
In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette, Haddow, Barry, Huck, Matthias, Koehn, Philipp and Monz, Christof (2018) Findings of the 2018 conference on machine translation (WMT18). In: Third Conference on Machine Translation, Volume 2: Shared Task Papers, 31 Oct - 1 Nov 2018, Brussels, Belgium. (2018)
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19
ParaCrawl Corpus version 1.0
Koehn, Philipp
;
Heafield, Kenneth
;
Forcada, Mikel L.
. - : ParaCrawl, 2018
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20
On the Impact of Various Types of Noise on Neural Machine Translation ...
Khayrallah, Huda
;
Koehn, Philipp
. - : arXiv, 2018
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