The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Finite-state transducers in language and speech processing
Computational Linguistics
Decoding complexity in word-replacement translation models
Computational Linguistics
A speech-first model for repair detection and correction
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Generalized algorithms for constructing statistical language models
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Machine Translation with Inferred Stochastic Finite-State Transducers
Computational Linguistics
Dependency structure analysis and sentence boundary detection in spontaneous Japanese
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Restoring punctuation and capitalization in transcribed speech
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A lexically-driven algorithm for disfluency detection
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Reconstructing spontaneous speech
Reconstructing spontaneous speech
OpenFst: a general and efficient weighted finite-state transducer library
CIAA'07 Proceedings of the 12th international conference on Implementation and application of automata
Formatting time-aligned ASR transcripts for readability
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Statistical transformation of language and pronunciation models for spontaneous speech recognition
IEEE Transactions on Audio, Speech, and Language Processing
Enriching speech recognition with automatic detection of sentence boundaries and disfluencies
IEEE Transactions on Audio, Speech, and Language Processing
Edit disfluency detection and correction using a cleanup language model and an alignment model
IEEE Transactions on Audio, Speech, and Language Processing
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This paper presents a method for automatically transforming faithful transcripts or ASR results into clean transcripts for human consumption using a framework we label speaking style transformation (SST). We perform a detailed analysis of the types of corrections performed by human stenographers when creating clean transcripts, and propose a model that is able to handle the majority of the most common corrections. In particular, the proposed model uses a framework of monotonic statistical machine translation to perform not only the deletion of disfluencies and insertion of punctuation, but also correction of colloquial expressions, insertions of omitted words, and other transformations. We provide a detailed description of the model implementation in the weighted finite state transducer (WFST) framework. An evaluation of the proposed model on both faithful transcripts and speech recognition results of parliamentary and lecture speech demonstrates the effectiveness of the proposed model in performing the wide variety of corrections necessary for creating clean transcripts.