Postech Academy-Industry Foundation

Seong Han Ryu

Yong Kim

Geun Bae Lee

Dong Hyeon Lee

Sang Jun Koo

Jun Hwi Choi

In Jae Lee

Hong Suck Seo

Disclosed are a method for processing a dialog based on processing instructing expression in a multi-modal environment and an apparatus therefor. The method for processing a dialog in an information processing device capable of processing digital signals includes the steps of: extracting an instructing expression from an inputted sentence; generating an intermediate instructing expression representing the modifying relations between the words constituting the extracted instructing expression; and searching the object corresponding with the intermediate instructing expression in a predetermined object search range. Thus, a terminal can be effectively and conveniently used without separately clarifying various instructing expressions representing things or objects with the terminal.

Method for processing dialogue based on processing instructing expression and apparatus therefor

The present invention is a method for recognizing a statistical voice language using a statistical technique without using a manually tagged corpus. The method comprises: a dialog act clustering step of clustering speech utterances of sentences based on similar dialog acts; a named entity clustering step of extracting a named entity candidate group from the result of the dialog act clustering step and clustering named entities based on the neighboring contextual information of the extracted named entity candidate group; and a main act clustering step of clustering main acts for each region based on the clustered dialog acts and named entity.

Method for recognizing statistical voice language

Disclosed are a speech recognition error correction method and an apparatus thereof. The speech recognition error correction method includes determining a likelihood that a speech recognition result is erroneous, and if the likelihood that the speech recognition result is erroneous is higher than a predetermined standard, generating a parallel corpus according to whether the speech recognition result matches the correct answer corpus, generating a speech recognition model based on the parallel corpus, and correcting an erroneous speech recognition result based on the speech recognition model and the language model. Accordingly, speech recognition errors are corrected.

Method and apparatus for correcting speech recognition error

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Seoul, South Korea

Seong Han Ryu