mlsanityData to 14 Oct 2026

Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation

arXiv 2210.10200 ↗First posted 18 Oct 2022cs.CLcited by 0

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Abstract (arXiv)

If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it? Assuming one knows that Houston in New York is pronounced "how-ston" and not like the Texas city, then one can probably guess that "how-ston" is also used in the name of the dog park. We present a novel architecture that learns to use the pronunciations of neighboring names in order to guess the pronunciation of a given target feature. Applied to Japanese place names, we demonstrate the utility of the model to finding and proposing corrections for errors in Google Maps. To demonstrate the utility of this approach to structurally similar problems, we also report on an application to a totally different task: Cognate reflex prediction in comparative historical linguistics. A version of the code has been open-sourced (https://github.com/google-research/google-research/tree/master/cognate_inpaint_neighbors).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 34 references that are in the map. First posted on arXiv 18 Oct 2022.

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References · 14

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Listen, Attend and Spellcited by 543
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  6. 2015Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversioncited by 19
  7. 2017Massively Multilingual Neural Grapheme-to-Phoneme Conversioncited by 15
  8. 2020g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Datasetcited by 15
  9. 2017Glyph-aware Embedding of Chinese Characterscited by 14
  10. 2016Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Modelscited by 10
  11. 2019Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networkscited by 8
  12. 2018Text normalization using memory augmented neural networkscited by 6
2 more
  1. 2021Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learningcited by 4
  2. 2020Neural text normalization leveraging similarities of strings and soundscited by 1

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