His main research concerns Artificial intelligence, Speech recognition, Natural language processing, Language model and Word. His study in Word error rate and Perceptron are all subfields of Artificial intelligence. His work carried out in the field of Perceptron brings together such families of science as Parsing and Pattern recognition.
His Speech recognition study combines topics from a wide range of disciplines, such as Vocabulary and Search engine indexing. Murat Saraclar combines subjects such as Pronunciation, Agglutinative language, Turkish and Decision tree with his study of Natural language processing. As part of his studies on Language model, Murat Saraclar frequently links adjacent subjects like Discriminative model.
Murat Saraclar focuses on Artificial intelligence, Speech recognition, Natural language processing, Language model and Pattern recognition. His Artificial intelligence research is multidisciplinary, relying on both Keyword search and Vocabulary. His Speech recognition research includes themes of Transcription and Search engine indexing.
His research in Natural language processing intersects with topics in Pronunciation, Agglutinative language and Turkish. His Language model research is multidisciplinary, incorporating elements of Syntax, Discriminative model, Perceptron and Natural language. His work on Mixture model and Support vector machine as part of his general Pattern recognition study is frequently connected to Gaussian process, thereby bridging the divide between different branches of science.
Murat Saraclar mainly investigates Artificial intelligence, Natural language processing, Sign language, Speech recognition and Sign. Murat Saraclar interconnects Machine learning, Multivariate statistics, Autoregressive model, Stethoscope and Pattern recognition in the investigation of issues within Artificial intelligence. His studies deal with areas such as Annotation, Embedding and Context model as well as Natural language processing.
The study incorporates disciplines such as Keyword search and Speech processing in addition to Sign language. His Dynamic time warping study in the realm of Speech recognition connects with subjects such as Frame. His Word research is multidisciplinary, incorporating perspectives in Hidden Markov model and Word error rate.
His primary areas of investigation include Artificial intelligence, Natural language processing, Embedding, Frame and Dynamic time warping. His work in the fields of Artificial intelligence, such as Knowledge extraction, intersects with other areas such as Reading comprehension. His studies in Natural language processing integrate themes in fields like Matching, Artificial neural network, Task analysis and Turkish.
The concepts of his Embedding study are interwoven with issues in Sentence, Encoder, Graph and Spoken language. Frame overlaps with fields such as Vocabulary, Context model, Recurrent neural network, TIMIT and Task in his research. The Dynamic time warping study combines topics in areas such as Acoustic model and Phone.
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Lattice-Based Search for Spoken Utterance Retrieval
Murat Saraclar;Richard Sproat.
north american chapter of the association for computational linguistics (2004)
Discriminative n-gram language modeling
Brian Roark;Murat Saraclar;Michael Collins.
Computer Speech & Language (2007)
Stochastic pronunciation modelling from hand-labelled phonetic corpora
Michael Riley;William Byrne;Michael Finke;Sanjeev Khudanpur.
Speech Communication (1999)
System and Method of Lattice-Based Search for Spoken Utterance Retrieval
Murat Saraclar;Richard William Sproat.
Retrieval and browsing of spoken content
C. Chelba;T.J. Hazen;M. Saraclar.
IEEE Signal Processing Magazine (2008)
Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
Brian Roark;Murat Saraclar;Michael Collins;Mark Johnson.
meeting of the association for computational linguistics (2004)
Morph-based speech recognition and modeling of out-of-vocabulary words across languages
Mathias Creutz;Teemu Hirsimäki;Mikko Kurimo;Antti Puurula.
ACM Transactions on Speech and Language Processing (2007)
Turkish Language Resources: Morphological Parser, Morphological Disambiguator and Web Corpus
Haşim Sak;Tunga Güngör;Murat Saraçlar.
international conference natural language processing (2008)
Lattice Indexing for Spoken Term Detection
D. Can;M. Saraclar.
IEEE Transactions on Audio, Speech, and Language Processing (2011)
Pronunciation modeling by sharing Gaussian densities across phonetic models
Murat Saraçlar;Harriet Nock;Sanjeev Khudanpur.
Computer Speech & Language (2000)
Profile was last updated on December 6th, 2021.
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