AlienKevin/hkcancor-multi

This data is the subset of the Hong Kong Cantonese Corpus (HKCanCor) that has been re-segmented by the multi-tiered word segmentation scheme described in the following paper:

Charles Lam, Chaak-ming Lau, and Jackson L. Lee. 2024. Multi-Tiered Cantonese Word Segmentation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 11993–12002, Torino, Italy. ELRA and ICCL.

Processing from original format

Chinese word segmentation is commonly framed as a sequence labelling task. To ease the adoption of the original dataset, we have transformed it into two columns:

1. chars: The original sentence split into characters
2. labels: One of D (Dash), I (Intermediate), P (Pipe), S (Space). This labelling scheme expands the common BI (Beginning/Intermediate) scheme into four labels. In particular, the I is the same as the BI scheme but the B tag is further split into D, P, and S.

Here's a sample segmented sentence in the original format and the processed format:

Original: 即係 噉樣 嗰-啲 呀 ?

Processed:

• chars: 即 係 噉 樣 嗰 啲 呀 ?
• labels: S I S I S D S S

Note how the label is taken from the left boundary of the labelled character. For the left most character in a sentence, there is no boundary character to its left. In these cases, we set up a convention to always label the left most character as S (Space).

Check out https://github.com/AlienKevin/dips for more details.