Abstract
We address the problem of normalizing user generated content in a multilingual setting. Specifically, we target comment sections of popular Kazakhstani Internet news outlets, where comments almost always appear in Kazakh or Russian, or in a mixture of both. Moreover, such comments are noisy, i.e. difficult to process due to (mostly) intentional breach of spelling conventions, which aggravates data sparseness problem. Therefore, we propose a simple yet effective normalization method that accounts for multilingual input. We evaluate our approach extrinsically, on the tasks of language identification and sentiment analysis, showing that in both cases normalization improves overall accuracy.
| Original language | English |
|---|---|
| Title of host publication | IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538664674 |
| DOIs | |
| Publication status | Published - Oct 1 2018 |
| Event | 12th IEEE International Conference on Application of Information and Communication Technologies, AICT 2018 - Almaty, Kazakhstan Duration: Oct 17 2018 → Oct 19 2018 |
Publication series
| Name | IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings |
|---|
Conference
| Conference | 12th IEEE International Conference on Application of Information and Communication Technologies, AICT 2018 |
|---|---|
| Country | Kazakhstan |
| City | Almaty |
| Period | 10/17/18 → 10/19/18 |
Fingerprint
Keywords
- code switching
- normalization
- transliteration
- user generated content
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Health Informatics
- Information Systems
Cite this
Initial Normalization of User Generated Content : Case Study in a Multilingual Setting. / Myrzakhmetov, Bagdat; Yessenbayev, Zhandos; Makazhanov, Aibek.
IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8747161 (IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Initial Normalization of User Generated Content
T2 - Case Study in a Multilingual Setting
AU - Myrzakhmetov, Bagdat
AU - Yessenbayev, Zhandos
AU - Makazhanov, Aibek
PY - 2018/10/1
Y1 - 2018/10/1
N2 - We address the problem of normalizing user generated content in a multilingual setting. Specifically, we target comment sections of popular Kazakhstani Internet news outlets, where comments almost always appear in Kazakh or Russian, or in a mixture of both. Moreover, such comments are noisy, i.e. difficult to process due to (mostly) intentional breach of spelling conventions, which aggravates data sparseness problem. Therefore, we propose a simple yet effective normalization method that accounts for multilingual input. We evaluate our approach extrinsically, on the tasks of language identification and sentiment analysis, showing that in both cases normalization improves overall accuracy.
AB - We address the problem of normalizing user generated content in a multilingual setting. Specifically, we target comment sections of popular Kazakhstani Internet news outlets, where comments almost always appear in Kazakh or Russian, or in a mixture of both. Moreover, such comments are noisy, i.e. difficult to process due to (mostly) intentional breach of spelling conventions, which aggravates data sparseness problem. Therefore, we propose a simple yet effective normalization method that accounts for multilingual input. We evaluate our approach extrinsically, on the tasks of language identification and sentiment analysis, showing that in both cases normalization improves overall accuracy.
KW - code switching
KW - normalization
KW - transliteration
KW - user generated content
UR - http://www.scopus.com/inward/record.url?scp=85070207528&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070207528&partnerID=8YFLogxK
U2 - 10.1109/ICAICT.2018.8747161
DO - 10.1109/ICAICT.2018.8747161
M3 - Conference contribution
T3 - IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings
BT - IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -