Özet
In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2% on synthetic dataset and overall system resulted with 70.3% on real dataset.
Tercüme edilen katkı başlığı | Conversion of number expressions within noisy text into numerical representation |
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Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9781509064946 |
DOI'lar | |
Yayın durumu | Yayınlandı - 27 Haz 2017 |
Etkinlik | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017 |
Yayın serisi
Adı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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???event.eventtypes.event.conference??? | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Ülke/Bölge | Turkey |
Şehir | Antalya |
Periyot | 15/05/17 → 18/05/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
Keywords
- noisy text
- number conversion
- spelling correction
- trie