Paper Citation Record · LEDGER

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:1908.02404.

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

pith.paper-citation-record.v1
1908.02404 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:48:54.559644Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:48:54.472456Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:48:54.627453Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15eda75b-e565-4472-828a-c6bb9515b025 · outbound

This paper cites As the result, the output of ASR con- tains purely a sequence of words or alphabet characters depend- ing on the model type.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging As the result, the output of ASR con- tains purely a sequence of words or alphabet characters depend- ing on the model type

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.825227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04449ffb-3c1b-488f-8813-c70de0383317 · outbound

This paper cites Figure 2a illus- trates the use of end-to-end models for restoring capitalization and punctuation proposed in [12].

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Figure 2a illus- trates the use of end-to-end models for restoring capitalization and punctuation proposed in [12]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.813951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf258b6d-bf2a-4fc2-a37a-fa0b01959733 · outbound

This paper cites laptop, mo- bile.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging laptop, mo- bile

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.790556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 806a6dce-19ab-4d27-9036-c37f839325eb · outbound

This paper cites Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:48:54.634086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c6b50ee-db7c-4413-876c-7f02ebbef9eb · outbound

This paper cites With chunk-split-merging, the method can splits and processes sen- tences in parallel and merges outputs to form the ﬁnal sentence output.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging With chunk-split-merging, the method can splits and processes sen- tences in parallel and merges outputs to form the ﬁnal sentence output

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.768947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a95d79a4-02c9-432b-aff8-9bb8fc2e4fe3 · outbound

This paper cites U” and “L.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging U” and “L

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.780064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1aa915f3-511e-4bd5-8817-aef54bb12bbd · outbound

This paper cites Improved models for auto- matic punctuation prediction for spoken and written text.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Improved models for auto- matic punctuation prediction for spoken and written text

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.696983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 70940ed2-e784-461a-8b3d-6a8c88804ed6 · outbound

This paper cites Segmentation and punctua- tion prediction in speech language translation using a monolingual translation system,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Segmentation and punctua- tion prediction in speech language translation using a monolingual translation system,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.757668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c5efbcdb-6fae-4ec9-8c20-c2b69fb6c442 · outbound

This paper cites Named entity recognition: Exploring features.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Named entity recognition: Exploring features

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.744621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1eff1ee4-d4ad-4656-b222-f4d14e0bd8ad · outbound

This paper cites A survey on recent advances in named entity recognition from deep learning models,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging A survey on recent advances in named entity recognition from deep learning models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.733033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ef996ba-1664-41aa-b0d2-bbe4d59fd8b2 · outbound

This paper cites Punctuation prediction model for conversational speech,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Punctuation prediction model for conversational speech,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.510470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fc31a6-0939-4e76-a398-294407906f53 · outbound

This paper cites Lstm for punctuation restoration in speech transcripts,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Lstm for punctuation restoration in speech transcripts,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.720890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8522f22-0d5a-4145-9a83-b7e8006182f5 · outbound

This paper cites Better punctuation prediction with dynamic conditional random ﬁelds,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Better punctuation prediction with dynamic conditional random ﬁelds,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.709374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 203bd74e-1dcc-46cd-9768-3618eedddb58 · outbound

This paper cites To modify Transformer model conﬁguration toward a better one, ET uses an evolution-based algorithm with an innovative approach to expedite the process.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging To modify Transformer model conﬁguration toward a better one, ET uses an evolution-based algorithm with an innovative approach to expedite the process

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.803275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df4cafa3-ab46-49f6-8bc1-85f5299c23cf · outbound

This paper cites Conditional random ﬁelds: Probabilistic models for segmenting and labeling sequence data,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Conditional random ﬁelds: Probabilistic models for segmenting and labeling sequence data,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.523822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac287cf-452b-4535-b56f-d5365952c2b2 · outbound

This paper cites Nmt-based segmentation and punctuation insertion for real-time spoken language translation.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Nmt-based segmentation and punctuation insertion for real-time spoken language translation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.679996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2be87b5f-d054-41f5-9b54-cb20e230f058 · outbound

This paper cites OpenNMT: Open-source toolkit for neural machine translation,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging OpenNMT: Open-source toolkit for neural machine translation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.531255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d8d232-f37b-4c01-9685-5f3eac66ecd2 · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Neural machine translation by jointly learning to align and translate,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.535042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d82eaed-2ec7-412d-bf2c-c08565d4b21c · outbound

This paper cites Sequence to sequence learning with neural networks,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Sequence to sequence learning with neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.538764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bfb2fb7-3a16-40b3-8530-921a43bb7e45 · outbound

This paper cites Attention is all you need,.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Attention is all you need,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.543231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f667ba5-73c9-467c-a0ea-0c24595a588b · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Neural Architecture Search with Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.546629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 285632e5-d9e7-4b03-9eaf-d1a0cc4c428c · outbound

This paper cites Tensor2Tensor for Neural Machine Translation.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Tensor2Tensor for Neural Machine Translation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.551298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d48b25-227c-4cfa-8c03-422afe5c78d7 · outbound

This paper cites Consortium, The British National Corpus, version 3 (BNC XML Edition).

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging Consortium, The British National Corpus, version 3 (BNC XML Edition)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:48:54.647362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d73ec5e-90c1-4e53-bf04-a0ef8d03b91b · outbound

This paper cites NLTK: The Natural Language Toolkit.

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging NLTK: The Natural Language Toolkit

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T14:48:54.559644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 806a6dce-19ab-4d27-9036-c37f839325eb · inbound