A New Approach to Speech-Input Statistical Translation
نویسندگان
چکیده
The statistical pattern recognition is a promising framework for text-to-text translation. However, a natural extension to speech-input translation is not straightforward. In this paper, we present a method to deal with the speech input statistical translation problem that could be considered as a step towards a fully integrated recognition-translation procedure. In this version a word graph was used in the input as a representation of the acoustic of a given utterance. As a case study, experimental results with the socalled “Traveller task” are presented by using a text-input statistical translator.
منابع مشابه
Impact of Collaborative Output-Based Instruction on EFL Learners’ Awareness of the Speech Act of Apology
A sizeable body of research into instructed pragmatics roots from the noticing hypothesis: comparing im- plicit and explicit instruction. It is only recently that other theories, including the output hypothesis, have been researched as possible explanations of interlanguage pragmatic development. Pursuing the same line of research, the present study addressed the impact of collaborative o...
متن کاملStatistical Machine Translation and Automatic Speech Recognition under Uncertainty
Statistical modeling techniques have been applied successfully to natural language processing tasks such as automatic speech recognition (ASR) and statistical machine translation (SMT). Since most statistical approaches rely heavily on availability of data and the underlying model assumptions, reduction in uncertainty is critical to their optimal performance. In speech translation, the uncertai...
متن کاملFinite-state transducer inference for a speech-input Portuguese-to-English machine translation system
Statistical techniques and grammatical inference have been used for dealing with automatic speech recognition with success, and can also be used for speech-to-speech machine translation. In this paper, new advances on a method for finite-state transducer inference are presented. This method has been tested experimentally in a speech-input translation task using a recognizer that allows a flexib...
متن کامل"Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions
We present a novel approach for improving communication success between users of speech-to-speech translation systems by automatically detecting errors in the output of automatic speech recognition (ASR) and statistical machine translation (SMT) systems. Our approach initiates system-driven targeted clarification about errorful regions in user input and repairs them given user responses. Our sy...
متن کاملFinite-state transducer inference for a spee machine translation
Statistical techniques and grammatical inference have been used for dealing with automatic speech recognition with success, and can also be used for speech-to-speech machine translation. In this paper, new advances on a method for finite-state transducer inference are presented. This method has been tested experimentally in a speech-input translation task using a recognizer that allows a flexib...
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 2000