Results 221 to 230 of about 209,110 (252)

Creating Robust Coverage for Speech-to-Text Resolution

2021
Today’s speech recognition (ASR) engines are amazing and better than ever, but they’re still not perfect. If you use dictation on your mobile phone, you see the mistakes that can happen. Correctly turning a spoken utterance into text is challenging—and all meaning interpretation and responses that follow depend on it.
Ann Thymé-Gobbel, Charles Jankowski
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Improving text collection selection with coverage and overlap statistics

Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05, 2005
In an environment of distributed text collections, the first step in the information retrieval process is to identify which of all available collections are more relevant to a given query and which should thus be accessed to answer the query. We address the challenge of collection selection when there is full or partial overlap between the available ...
Thomas Hernandez, Subbarao Kambhampati
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Naive Website Categorization Based on Text Coverage

2020
The amount of websites on the internet has grown tremendously in recent years. With the rapid increase in volume of available World Wide Web resources, a need arises for an efficient and automated website categorization mechanism. This research proposes and implements several machine learning models for general-purpose classification of website content.
Aldin Kovačević, Zerina Mašetić, Dino Kečo   +2 more
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Text Length, Vocabulary Size and Text Coverage Constancy

Journal of Quantitative Linguistics, 2013
Abstract This paper examines the dynamic relationship between vocabulary size, text length and text coverage in the English language, i.e. the ratio between the number of words of a text or a collection of texts covered by a set of vocabulary, and the total number of words of the text or a collection of texts.
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Internal Reporting Guidelines: Their Coverage in Cost Accounting Texts.

The Accounting Review, 1976
Abstract This article presents and interprets findings of a study in which several current textbooks in cost and managerial accounting were examined to determine the extent of reference to and coverage of the reporting guidelines accepted as given.
John W. Hardy, E. Dee Hubbard
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Topic Modeling for Exploring Cancer-Related Coverage in Journalistic Texts

2019
Topic modeling has been used for many applications, but has not been applied to science and health communication research yet. In this paper, using topic modeling for this novel domain is explored, by investigating the coverage of cancer in news items from the New York Times since 1970 with the Latent Dirichlet Allocation (LDA) model.
Naomi Hariman, Marjolein de Vries, Ionica Smeets   +2 more
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Fractal Dimension Calculation of Rumor Text Based on Pixel Coverage

2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2021
Internet rumors are confusing and destructive, and it is difficult to identify them from texts, this is why rumors are flying all over the place. The rapid identification of Internet rumors can effectively control their spread and achieve good public governance.
Yanwen Xin, Fengming Liu
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Internet Regulation: A Text-Based Approach to Media Coverage

2018
Internet regulation in Russia has vigorously expanded in recent years to transform the relatively free communication environment of the 2000s into a heavily regulated one. Our goal was to identify the topic structure of Russian media discourse on Internet regulation and compare it between political and non-political media outlets.
Anna Shirokanova, Olga Silyutina
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An analysis of lexical text coverage in contemporary German

2006
One of the many practical applications of corpus studies is the generation of word frequency information. It makes sense that for the teaching of vocabulary in a second language, lexical frequency should play a significant role in the selection of vocabulary to be included in pedagogical materials.
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Distance or Coverage?

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
We formulate a problem that arises in unstructured enterprise information management, and has high commercial impact: retrieve knowledge-rich documents in a large textual collection of technical documents. We call such documents principal documents. We exploit the properties of large sparse text collections in order to address this problem. It is known
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