| --- |
| license: cc-by-nc-4.0 |
| language: |
| - zh |
| - en |
| tags: |
| - hokkien |
| - philippine-hokkien |
| - southern-min |
| - low-resource |
| - speech-translation |
| - parallel-corpus |
| - code-switching |
| pretty_name: LanCorp Augmented (Philippine Hokkien–English Parallel Corpus) |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - automatic-speech-recognition |
| - translation |
| --- |
| |
| # LanCorp Augmented — Philippine Hokkien–English Parallel Dataset |
|
|
| ## Dataset Summary |
|
|
| This dataset is an augmented version of the [Lannang Corpus (LanCorp)](https://deepblue.lib.umich.edu/data/concern/data_sets/g445cd563?locale=en), a sociolinguistic corpus of Philippine Hokkien (*Lán-nâng-uē*) speech collected from Filipino-Chinese communities in metropolitan Manila between 2016 and 2020. The augmentation adds clause-level English translations contributed by bilingual annotators, along with word count and duration metadata, and a separate translator provenance file mapping utterances to their respective annotators. |
|
|
| To the best of the author's knowledge, this constitutes the first parallel Philippine Hokkien–English dataset in the public domain. |
|
|
| This dataset was constructed as part of an undergraduate thesis investigating cross-dialect transfer learning for Philippine Hokkien–English speech-to-speech translation at the University of the Philippines - Cebu. |
|
|
| ## Dataset Structure |
|
|
| The dataset consists of two files: |
|
|
| ### `utterances.csv` |
|
|
| The augmented LanCorp CSV. Contains all original LanCorp columns plus the following additions: |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `english.trans` | `string` | Clause-level English translation contributed by bilingual annotators. | |
| | `word.count` | `int` | Word count of the English translation. | |
| | `duration_seconds` | `float` | Duration of the associated source audio segment in seconds. | |
|
|
| All original LanCorp columns (utterance ID, audio path, transcript, language annotation, part-of-speech tags, social metadata, etc.) are preserved as-is. |
|
|
| ### `file_translators_anonymized.csv` |
|
|
| A separate file mapping source audio files to translator identifiers, indicating which annotator was responsible for each file's translations. Translator IDs are anonymized. |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `filename` | `string` | Source audio filename, matches the `filename` column in the main CSV. | |
| | `translator_id` | `string` | Anonymized identifier for the annotator who contributed the translations for this file. | |
| | `completion_status` | `string` | Translation completion status for the file; either `partial` (some utterances translated) or `complete` (all utterances translated). |
|
|
| ## Corpus Filtering |
|
|
| The translated subset used for the associated study was derived by applying the following filters to the full augmented corpus: |
|
|
| - Rows without an associated audio file were removed. |
| - Language annotations were normalized to lowercase; only utterances annotated as Hokkien (`h`) or Lán-lâng-uē (`l`) were retained. |
| - Utterances containing non-lexical vocalizations (e.g., laughter, fillers) were removed via annotation markers and rule-based filtering. |
| - Rows with duplicate utterance IDs were dropped; duplicate surface forms across different speakers were retained. |
| - Utterances without a confirmed English translation were discarded. |
|
|
| After filtering, **13,404 utterances** with confirmed English translations remained, totaling approximately **18.43 hours** of audio. |
|
|
| ## Source Data |
|
|
| This dataset is derived from the **Lannang Corpus (LanCorp)**: |
|
|
| > Wilkinson Daniel Wong Gonzales. “Advancing Sino-Philippine linguistics and sociolinguistics using the Lannang Corpus (LanCorp) A multilingual, POS-tagged, and audio-textual databank”. In: International Journal of Corpus Linguistics 29.2 (2024), pp. 213–257 |
|
|
| LanCorp is released under **CC BY-NC 4.0**. This dataset inherits the same license. |
|
|
| ## Associated Work |
|
|
| This dataset was constructed for use in: |
|
|
| *PENDING* |
|
|
| ## License |
|
|
| [Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/) |
|
|
| This dataset is derived from LanCorp (CC BY-NC 4.0) and inherits the same license terms. You are free to share and adapt this dataset for non-commercial purposes, provided appropriate credit is given and the same license is applied to derivative works. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the associated paper and the original LanCorp: |
|
|
| ```bibtex |
| % Associated Paper |
| % -- PENDING -- |
| |
| % Original LanCorp |
| @article{gonzales2024advancing, |
| title={Advancing Sino-Philippine linguistics and sociolinguistics using the Lannang Corpus (LanCorp) A multilingual, POS-tagged, and audio-textual databank}, |
| author={Gonzales, Wilkinson Daniel Wong}, |
| journal={International Journal of Corpus Linguistics}, |
| volume={29}, |
| number={2}, |
| pages={213--257}, |
| year={2024}, |
| publisher={John Benjamins Publishing Company Amsterdam/Philadelphia} |
| } |
| ``` |
