@article{,
title= {BOLT Chinese SMS/Chat - LDC2018T15},
journal= {},
author= {Song Chen and Dana Fore and Stephanie Strassel and Haejoong Lee and Jonathan Wright},
year= {2018},
doi= {10.35111/1whw-ea40},
isbn= {1585638471},
url= {https://doi.org/10.35111/1whw-ea40},
abstract= {# BOLT Chinese SMS/Chat

| Item Name: | BOLT Chinese SMS/Chat |
|---|---|
| Author(s): | Song Chen, Dana Fore, Stephanie Strassel, Haejoong Lee, Jonathan Wright |
| LDC Catalog No.: | LDC2018T15 |
| ISBN: | 1-58563-847-1 |
| ISLRN: | 269-619-825-584-0 |
| DOI: | https://doi.org/10.35111/1whw-ea40 |
| Release Date: | June 15, 2018 |
| Member Year(s): | 2018 |
| DCMI Type(s): | Text |
| Data Source(s): | text chat conversations |
| Project(s): | BOLT |
| Application(s): | machine translation |
| Language(s): | Mandarin Chinese |
| Language ID(s): | cmn |
| Citation: | Chen, Song, et al. BOLT Chinese SMS/Chat LDC2018T15. Web Download. Philadelphia: Linguistic Data Consortium, 2018. |

### Introduction

BOLT Chinese SMS/Chat was developed by the Linguistic Data Consortium
(LDC) and consists of naturally-occurring Short Message Service (SMS)
and Chat (CHT) data collected through data donations and live collection
involving native speakers of Chinese. The corpus contains 14,877
conversations totaling 3,005,810 words across 497,543 messages.

The
[BOLT](https://www.ldc.upenn.edu/collaborations/current-projects/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

The data in this release was collected using two methods: new collection
via LDC's collection platform, and donation of SMS or chat archives from
BOLT collection participants. All data collected were reviewed manually
to exclude any messages/conversations that were not in the target
language or that had sensitive content, such as personal identifying
information (PII). All data is presented in UTF-8 XML.

### 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.

### Related

- Archive.org Mirror: https://archive.org/download/LDC2018T15/LDC2018T15.tar.zst
},
keywords= {nlp, english, Chinese, BOLT, Text Corpus, Machine Translation, LDC2018T15},
terms= {},
license= {},
superseded= {}
}