Paper Citation Record · LEDGER

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.09532.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.09532 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:12:20.319446Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fc5ed03-0614-4499-83a4-8cc623dc3abe · outbound

This paper cites Domain adaptation via pseudo in-domain data selection.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Domain adaptation via pseudo in-domain data selection

Reference 1

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Observation 4950b371-d2a1-4828-943d-6ef6f6dc8d03 · outbound

This paper cites Meteor: An automatic metric for MT evaluation with improved correlation with human judgments.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Meteor: An automatic metric for MT evaluation with improved correlation with human judgments

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.971888Z

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Observation 978b1108-e34a-4a2a-b650-b3cf1c4fa986 · outbound

This paper cites Feature decay algorithms for fast deployment of accurate statistical ma- chine translation systems.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Feature decay algorithms for fast deployment of accurate statistical ma- chine translation systems

Reference 3

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Observation c00dd9c7-11d9-440b-b372-1654adbb1a2e · outbound

This paper cites Instance se- lection for machine translation using feature decay algorithms.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Instance se- lection for machine translation using feature decay algorithms

Reference 4

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Observation cbc42c2d-9b26-4b7f-9478-89c0a5004ef8 · outbound

This paper cites Findings of the 2017 conference on ma- chine translation (wmt17).

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Findings of the 2017 conference on ma- chine translation (wmt17)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.921169Z

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Observation 77239b36-05ed-416a-84ca-39f035e5c4d4 · outbound

This paper cites Findings of the 2015 Work- shop on Statistical Machine Translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Findings of the 2015 Work- shop on Statistical Machine Translation

Reference 6

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Observation 539e27b7-3c24-4f94-94af-8af4c1314c07 · outbound

This paper cites Adapting neural ma- chine translation with parallel synthetic data.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Adapting neural ma- chine translation with parallel synthetic data

Reference 7

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Observation 993dd9e8-7c70-4ac3-9083-4e4bf445d418 · outbound

This paper cites An empirical comparison of do- main adaptation methods for neural machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation An empirical comparison of do- main adaptation methods for neural machine translation

Reference 8

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Observation ceed4577-5353-4af2-82b8-de6a3a155ff9 · outbound

This paper cites A Survey of Domain Adaptation for Neural Machine Translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation A Survey of Domain Adaptation for Neural Machine Translation

Reference 9

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Observation 0cc0af35-e044-4a46-b388-87291efd9d80 · outbound

This paper cites Clark, Chris Dyer, Alon Lavie, and Noah A.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Clark, Chris Dyer, Alon Lavie, and Noah A

Reference 10

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Observation bbae75b6-7a73-4380-ad86-6fdf9d2e157f · outbound

This paper cites Survey of data-selection methods in statistical ma- chine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Survey of data-selection methods in statistical ma- chine translation

Reference 11

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Observation 594e809e-de8a-4a98-a259-39d937fbbade · outbound

This paper cites Fast Domain Adaptation for Neural Machine Translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Fast Domain Adaptation for Neural Machine Translation

Reference 12

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Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Unresolved cited work

Reference 13

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Observation 96c51ebc-f45a-4809-b69c-8cb87adca010 · outbound

This paper cites Adapta- tion of the translation model for statistical machine translation based on information re- trieval.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Adapta- tion of the translation model for statistical machine translation based on information re- trieval

Reference 14

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Observation 7e75df2c-08d1-449e-be64-e4ce6f1b23a2 · outbound

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Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Unresolved cited work

Reference 15

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Observation b2006fef-e999-48dc-94fd-4b5b30a888e9 · outbound

This paper cites Statistical signiﬁcance tests for machine translation evaluation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Statistical signiﬁcance tests for machine translation evaluation

Reference 16

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Observation 4e4661cf-2c7c-4cea-9dda-9169e3e98e13 · outbound

This paper cites Europarl: A parallel cor- pus for statistical machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Europarl: A parallel cor- pus for statistical machine translation

Reference 17

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Observation 049f0503-735a-4099-94f9-a99a570d08fd · outbound

This paper cites Binary codes capable of correcting deletions, insertions and rever- sals.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Binary codes capable of correcting deletions, insertions and rever- sals

Reference 18

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Observation 97c1869f-4b9b-433f-8df3-7e33f6539d3f · outbound

This paper cites One sentence one model for neu- ral machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation One sentence one model for neu- ral machine translation

Reference 19

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This paper cites Lo- cally training the log-linear model for smt.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Lo- cally training the log-linear model for smt

Reference 20

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Observation 57621ea2-51dd-4ec6-bae4-edafa0b7940f · outbound

This paper cites Stanford neural machine translation systems for spoken language domains.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Stanford neural machine translation systems for spoken language domains

Reference 21

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Observation cd601845-8ff2-4c76-bb78-ba84572d2fc4 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Distributed representations of words and phrases and their compositionality

Reference 22

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Observation b930080b-71e0-4dbd-8b0c-f66726c5e38b · outbound

This paper cites Bleu: a method for auto- matic evaluation of machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Bleu: a method for auto- matic evaluation of machine translation

Reference 23

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Observation c5e53a3c-627c-4fcd-a313-09c69e327ad6 · outbound

This paper cites Data selection for nmt using infrequent n-gram recovery.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Data selection for nmt using infrequent n-gram recovery

Reference 24

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Observation 8606bd2a-3be8-414e-a7e5-43d007387306 · outbound

This paper cites Applying n-gram alignment entropy to improve feature decay algorithms.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Applying n-gram alignment entropy to improve feature decay algorithms

Reference 25

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Observation 678b953f-7e3d-4f14-a2c8-9f7292dd6829 · outbound

This paper cites Data selection with feature decay algorithms using an approximated target side.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Data selection with feature decay algorithms using an approximated target side

Reference 26

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Observation a301388a-e567-46b1-9a15-122b6a4cb19e · outbound

This paper cites Fea- ture decay algorithms for neural machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Fea- ture decay algorithms for neural machine translation

Reference 27

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Observation 5a7366ee-9a0a-4b42-bf0b-bb2c8b85677d · outbound

This paper cites Adap- tation of machine translation models with back-translated data using transductive data selection methods.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Adap- tation of machine translation models with back-translated data using transductive data selection methods

Reference 28

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Observation 5aca5a5b-5baa-42aa-9825-20a83ad960bd · outbound

This paper cites Adapting NMT to caption translation in Wikimedia Commons for low- resource languages.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Adapting NMT to caption translation in Wikimedia Commons for low- resource languages

Reference 29

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Observation e32f8121-bde5-41b0-8336-b852563adf8a · outbound

This paper cites The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task

Reference 30

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Observation 910a5b46-c732-4c55-acf5-57de4a901a9d · outbound

This paper cites Extending feature decay algorithms using alignment entropy.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Extending feature decay algorithms using alignment entropy

Reference 31

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Observation c20b8cfc-7f97-44e8-a68e-554e6be0af54 · outbound

This paper cites On the speciﬁcation of term values in auto- matic indexing.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation On the speciﬁcation of term values in auto- matic indexing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.524846Z

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Observation d10622a0-de3f-4d53-a353-8fffd3a83b96 · outbound

This paper cites Neural machine translation of rare words with subword units.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Neural machine translation of rare words with subword units

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.507060Z

Source-reported events for the cited work

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Observation 57ea0247-abe0-4288-8ef5-2404d94432d0 · outbound

This paper cites Extracting in- domain training corpora for neural machine translation using data selection methods.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Extracting in- domain training corpora for neural machine translation using data selection methods

Reference 34

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Observation e5f5bc1c-b8a3-4e7a-836c-6a2987f28f09 · outbound

This paper cites A study of translation edit rate with targeted human annotation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation A study of translation edit rate with targeted human annotation

Reference 35

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Observation 79239aa6-0a15-47c4-8979-073c3a1072bf · outbound

This paper cites News from OPUS - A collection of multilingual parallel corpora with tools and interfaces.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation News from OPUS - A collection of multilingual parallel corpora with tools and interfaces

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.455940Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c42ae46c-90b7-4d59-918a-6a66788d6e53 · outbound

This paper cites Two methods for stabiliz- ing mert: Nict at iwslt 2009.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Two methods for stabiliz- ing mert: Nict at iwslt 2009

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.439008Z

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Observation a8b3aeb9-5bb7-4544-94ec-7fc6dfe9a6b4 · outbound

This paper cites Dynamic data selection for neural machine translation.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Dynamic data selection for neural machine translation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.421786Z

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Observation 1cc8daad-70e2-4a3b-98b4-43a3170e31bb · outbound

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Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Unresolved cited work

Reference 39

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Observation a93adb7a-550b-4820-ae46-8ae95a77b065 · outbound

This paper cites Findings of the wmt 2017 biomedical translation shared task.

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation Findings of the wmt 2017 biomedical translation shared task

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:20.394866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.