The CMU Statistical Language Modeling (SLM) Toolkit. The Carnegie Mellon Statistical Language Modeling (CMU SLM) Toolkit is a set of unix software tools designed to facilitate language modeling work in the research community. Some of the tools are used to process general textual data into: word frequency lists and vocabularies; word bigram and trigram counts; vocabulary-specific word bigram and trigram counts; bigram- and trigram-related statistics; various Backoff bigram and trigram language models ...

References in zbMATH (referenced in 10 articles )

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  1. Abushariah, Mohammad Abd-Alrahman Mahmoud; Ainon, Raja Noor; Zainuddin, Roziati; Alqudah, Assal Ali Mustafa; Ahmed, Moustafa Elshafei; Khalifa, Othman Omran: Modern standard Arabic speech corpus for implementing and evaluating automatic continuous speech recognition systems (2012)
  2. Quénot, Georges; Tan, Tien Ping; Le, Viet Bac; Ayache, Stéphane; Besacier, Laurent; Mulhem, Philippe: Content-based search in multilingual audiovisual documents using the international phonetic alphabet (2010)
  3. Farooq, Faisal; Jose, Damien; Govindaraju, Venu: Phrase-based correction model for improving handwriting recognition accuracies (2009)
  4. Beuschel, Christiane; Minker, Wolfgang; Bühler, Dirk: Hidden Markov modeling for semantic analysis-on the combination of different decoding strategies (2006)
  5. Casacuberta, Francisco; Vidal, Enrique; Picó, David: Inference of finite-state transducers from regular languages (2005)
  6. Varona, A.; Torres, I.: Scaling smoothed language models (2005)
  7. Wang, Shaojun; Schuurmans, Dale; Peng, Fuchun; Zhao, Yunxin: A mathematical theory of communication (2005)
  8. Georgakis, A.; Kotropoulos, C.; Xafopoulos, A.; Pitas, I.: Marginal median SOM for document organization and retrieval (2004)
  9. Maučec, Mirjam Sepesy; Kačič, Zdravko; Horvat, Bogomir: Modelling highly inflected languages (2004)
  10. Li, Mingjing; Chen, Zheng; Zhang, Hong-Jiang: Statistical correlation analysis in image retrieval (2002)