Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:48.761459Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.06810.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:48.761459Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d3739f07-38f0-4dea-9253-4f9268934b7a · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Challenges and opportunities in processing low resource languages: A study on persian,
Reference 1
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis An investigation on ini- tialization schemes for multilayer perceptron training using multilingual data and their effect on asr performance,
Reference 2
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual models with language embeddings for low- resource speech recognition,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Towards a common under- standing of contributing factors for cross-lingual transfer in multilingual language models: A review,
Reference 4
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Choosing transfer languages for cross- lingual learning,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Sequence-based multi-lingual low resource speech recognition,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Exploiting adapters for cross-lingual low-resource speech recognition,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Improving cross-lingual transfer learning for end-to-end speech recognition with speech translation,
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Observation 56cddc3c-fa16-4bea-a1be-622d6750385f · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-lingual subspace gaussian mixture models for low-resource speech recognition,
Reference 9
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-language end-to-end speech recognition research based on transfer learning for the low-resource tujia language,
Reference 10
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Linguistic disparities in cross-language automatic speech recognition transfer from arabic to tashlhiyt,
Reference 11
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-lingual portability of chinese and english neural network features for french and german lvcsr,
Reference 12
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Observation 38879c6b-a992-49d0-8e8c-f91e4477a418 · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Development of multi- lingual asr using globalphone for less-resourced languages: The case of ethiopian languages
Reference 13
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Observation 6a758c52-cbe6-4075-b12f-19ba41c87118 · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Using large self-supervised models for low-resource speech recognition
Reference 14
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cam: A cross-lingual adaptation framework for low-resource language speech recognition,
Reference 15
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers,
Reference 16
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual speech recognition for turkic languages,
Reference 17
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis A comparison between morphological complexity measures: typological data vs. lan- guage corpora,
Reference 18
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Frequency of occurrence of phonemes in conversational english,
Reference 19
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Observation 30f951d9-d0cc-4c76-a1d2-4c0373d727c3 · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss,
Reference 20
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Conformer: Convolution-augmented transformer for speech recognition,
Reference 21
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Un- supervised cross-lingual representation learning for speech recognition,
Reference 22
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Documenting and researching endangered languages: The pangloss collection,
Reference 23
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Methods of language docu- mentation in the dobes program,
Reference 24
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Simple and effective zero-shot cross- lingual phoneme recognition,
Reference 25
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Dif- ferentiable allophone graphs for language-universal speech recognition,
Reference 26
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Universal automatic phonetic transcription into the international phonetic alphabet,
Reference 27
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Phono- logically aware neural model for named entity recognition in low resource transfer settings,
Reference 28
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Kernel density estimation and its application,
Reference 29
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Reference 30
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Haspelmath, M
Reference 31
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Common voice: A massively-multilingual speech corpus,
Reference 32
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Epitran: Precision g2p for many languages,
Reference 33
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
Reference 34
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Attention is all you need,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation,
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Phoneme level language models for sequence based low resource asr,
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Observation 632cc006-a6da-4e79-8219-3d28773b84ea · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Roman jakobson’s conception of «sprachbund»,
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Observation 63ec02fe-15fb-48be-9fe4-a6f4cb0343d2 · outbound
Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis On the kurdish language,
Reference 40
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Reference 41
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Reference 42
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Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual self- supervised speech representations improve the speech recognition of low-resource african languages with codeswitching,
Reference 43
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Reference 44
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Reference 45
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No inbound Pith citation observations are available.