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The task of keyword spotting is to detect a set of keywords in the input continuous speech. The main goal of this work is to develop an improved Mandarin keyword spotting (KWS) system for conversational telephone speech (CTS). In this paper, we propose an efficient online-garbage model based KWS system, which
We developed a prototype system to support telecommunications that uses keywords selected by the presenter in videoconference. The presenter holds to show keyword cards, and the listeners at remote sites can see additional information with the keywords. Although keyword captions are considered effective in video
on extracting intentional goals from service descriptions. In this paper, based on the ranked domain keywords, we investigate how to extract domain-specific service goals from service descriptions, which can contribute to services discovery and recommendation. Programmable Web, a publicly accessible service repository
The following paper proposes a structured, natural language specification of web service behavior based on keywords in context. The advantage of this type of document is that it can be automatically analyzed in order to extract test cases for testing the web service. The test cases define not only what to test, i.e.
set of tags BEMI {beginning, end, middle, independence}, which means the position of words in compounds. Then we employ HMM to extract compounds automatically in BEMI tagging algorithm. We rank the Compounds extracted from corpus by their word frequency and length in descending order, and add top N compounds in seed
talk and receive their messages and this mode of communication is called sign language. Yet the communication problem doesn't end here, as natural language speakers don't understand sign language resulting in a communication gap. Towards such ends there is a need to develop a system which can act as an interpreter for
Users normally facing difficulties to expresses their information needs into a query format that the search system can use to process. Therefore users frequently modify their query with intention to retrieve better results. The goal of this experiment is to compare the precision of the retrieved results by employing
An efficient approach to achieve the tasks such as, regional language narration, regional language captioning system and keywords based efficacious seek to save the bandwidth, is introduced in this paper. The goal is to reduce the language barrier and seeking time for E-learning videos. The paper presents an
search in the program listings of TV stations. The goal is to find relevant program items, given a query formulated in natural language, or by using keywords. The queried data is a semantic knowledge base containing the data on the program listings as well as detailed information on distinct program items. We explore two
description about Web services. In actual applications, however, a lot of difficulties are found when using these methods. The goal of domain ontology is to capture the related domain knowledge, to provide common understanding about the domain knowledge, to determine the conceptions commonly recognized in this domain, and to
Interacting with computers is a ubiquitous activity for millions of people. Repetitive or specialized tasks often require creation of small, often one-off, programs. End-users struggle with learning and using the myriad of domain-specific languages (DSLs) to effectively accomplish these tasks. We present a general
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.