Out-Of-Vocabulary (OOV) Word Detection System
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An Out-Of-Vocabulary (OOV) Word Detection System is a word detection system that can detect OOV words.
- AKA: OOV Word Recognizer.
- Context:
- It can solve a OOV Word Detection Task by implementing OOV Word Detection Algorithm.
- It can rely on a OOV Word Modeling System and a OOV Word Embedding System.
- It can be evaluated by a OOV Word Detection Benchmark Task (that measures an OOV word error rate).
- It can be part of a OOV Word Machine Translation System.
- ...
- Example(s):
- Counter-Example(s):
- See: Word Embedding System, Text Generation System, Automatic Text Translation System, Natural Language Processing System.
References
2010
- (Parada et al., 2010) ⇒ Carolina Parada, Mark Dredze, Denis Filimonov, and Frederick Jelinek. (2010). “Contextual Information Improves OOV Detection in Speech.” In: Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL 2010).
2009
- (Rastrow, 2009a) ⇒ Ariya Rastrow, Abhinav Sethy, and Bhuvana Ramabhadran (2009). “A New Method for OOV Detection Using Hybrid Word/Fragment System". In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009).