BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training
| Item Name: | BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training |
| Author(s): | Xuansong Li, Stephen Grimes, Stephanie Strassel |
| LDC Catalog No.: | LDC2019T13 |
| ISBN: | 1-58563-901-X |
| ISLRN: | 423-788-018-824-3 |
| DOI: | https://doi.org/10.35111/zbdg-8t66 |
| Release Date: | September 16, 2019 |
| Member Year(s): | 2019 |
| DCMI Type(s): | Text |
| Data Source(s): | text chat conversations |
| Project(s): | BOLT |
| Application(s): | content-based retrieval, machine translation, tagging |
| Language(s): | Mandarin Chinese, English |
| Language ID(s): | cmn, eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2019T13 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Li, Xuansong, Stephen Grimes, and Stephanie Strassel. BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training LDC2019T13. Web Download. Philadelphia: Linguistic Data Consortium, 2019. |
| Related Works: | View |
Introduction
BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training was developed by the Linguistic Data Consortium (LDC) and consists of 388,027 words of Chinese and English parallel text enhanced with linguistic tags to indicate word relations.
The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference.
Data
This release consists of Chinese source text message and chat conversations collected using two methods: new collection via LDC's collection platform and donation of SMS and chat archives from BOLT collection participants. The source data is released as BOLT Chinese SMS/Chat (LDC2018T15).
The BOLT word alignment task was built on treebank annotation. Specifically, LDC automatically extracted Chinese source tokens, including empty categories/traces, from word-segmented files provided by the BOLT Chinese Treebank annotation team at Brandeis University. The word-segmented tokens were then used to automatically generate ctb (Chinese Treebank) alignment and were also tokenized for character alignment by inserting white spaces to separate characters.
The data profile broken down by character tokens, ctb tokens and segments appears below:
| Language | Genre | Files | Words | CharTokens | CTBTokens | Segments |
| Chinese | SMS/chat | 1359 | 388,027 | 582,043 | 419,406 | 59,564 |
Acknowledgement
This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
Samples
Please view the following samples:
- English Tokenized
- CTB-Based Word Alignment
- Character-Based Word Alignment
- Chinese CTB-based Tokenized
- Chinese Character Tokenized
Updates
None at this time.