Robust parsing in spoken dialogue systems
نویسندگان
چکیده
The rule-based parsing is a prevalent method for the natural language understanding (NLU) and has been introduced in dialogue systems for spoken language processing (SLP). However, additional measures must be taken to cope with the severe spoken linguistic phenomena, such as garbage, repetition, ellipsis, word disordering, fragment and ill form, which frequently occur in the spoken language. We propose in this paper a robust parsing scheme, which integrates the following methods.
منابع مشابه
Robust grammatical analysis for spoken dialogue systems
We argue that grammatical analysis is a viable alternative to concept spotting for processing spoken input in a practical spoken dialogue system. We discuss the structure of the grammar, and a model for robust parsing which combines linguistic sources of information and statistical sources of information. We discuss test results suggesting that grammatical processing allows fast and accurate pr...
متن کاملRobust and efficient semantic parsing of free word order languages in spoken dialogue systems
This paper presents a semantic parser for spoken dialogue systems. The parser is designed especially for the analysis of free word order languages by providing a feature called orderindependent matching. We describe how this feature allows writing of rules for free word order languages in an elegant way (using German as example language) and how it increases the robustness against speech recogn...
متن کاملStudies on Robust Language and Dialogue Processing for Spoken Dialogue Systems
In spoken dialogue systems, robust language processing for spontaneous speech understanding and robust dialogue processing for achieving user goal are inevitable. Previously, research of speech recognition and research of natural language understanding were done independently. At first glance, it seems to be no problem to combine these two technologies, because the purpose of speech recognition...
متن کاملRobust Parsing of Spoken Dialogue Using Contextual
and Recognition Probabilities G unther G orz, Gerhard Hanrieder Bavarian Research Center for Knowledge Based Systems (FORWISS) Am Weichselgarten 7, 91058 Erlangen, Germany ABSTRACT In this paper we describe the linguistic processing component of a spoken dialogue system. The task of this word graph parser is to nd the most plausible sequence of word hypotheses in the input graph. If no global...
متن کاملA hybrid approach to spoken dialogue understanding: prosody, statistics and partial parsing
Linguistic processing in spoken dialogue systems has to be robust against a large number of phenomena such as recognizer errors, spontaneous speech phenomena and out-of-vocabulary (OOV) words. A commonly used solution to this problem is partial parsing, that aims at detecting only parts of sentences/utterances that are vital for the respective task of the parser. In our paper we present a frame...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001