Gonzaga University Repository
Not a member yet
2718 research outputs found
Sort by
Database (Uruguay)
No full textCorpus del Español database format. This is the format allows for the most robust searches and allows for powerful JOINs across corpus, lexicon, and source tables but requires knowledge of SQL. Zip folder contains 20 .txt files of linguistic data from Uruguay split into two categories: General (g) and Blogs (b). See Full-text corpus data for more information on how to use the database format
Maximizing Organizational Value Through Social Interactions
No full textThis project looks into maximizing value for organizations and customers through customer service. Media richness theory was used to help the researchers understand how to best serve content to customers of a company that offers tech support channels. Video tutorials were determined to be the richest form of media just after human interaction (Face to Face). The project was designed to help content creators understand best practices around creating video tutorial content. Site visitors are asked to complete a survey after reading through the content. The survey was designed to help the researchers understand if the content is useful. For further clarification the researchers have a second survey. The second survey asks the visitors to the site to come back later and answer questions that help determine if the content is valuable and if more content is needed. If more content is needed there is a section to provide comments
Let\u27s Get SIRIous! Voice Recognition in Language Learning
Get PDFVoice recognition, or automatic speech recognition (ASR), technology is now widely available at little or no cost, and it shows promise in language education, primarily in the area of pronunciation training, where research suggests the technology can outperform human teachers (Golonka, Bowles, Frank, Richardson, & Freynik, 2014, p. 88). This paper discusses how ASR works, how accurate it is, and how it can be applied to language learning both in and out of the classroom. This discussion is followed by a brief examination of recent research into the pedagogical applications of the technology, and concludes that there are many valid reasons to incorporate ASR technologies into language instruction
Word, Lemma, and Part of Speech (Bolivia)
No full textCorpus del Español word, lemma, and part of speech data format.
Zip folder contains 20 .txt files of linguistic data from Bolivia split into two categories: General (g) and Blogs (b).
Texts are separated by a line with ## and the textID
Word, Lemma, and Part of Speech (Eduador)
No full textCorpus del Español word, lemma, and part of speech data format.
Zip folder contains 20 .txt files of linguistic data from Ecuador split into two categories: General (g) and Blogs (b).
Texts are separated by a line with ## and the textID
Database (Costa Rica)
No full textCorpus del Español database format. This is the format allows for the most robust searches and allows for powerful JOINs across corpus, lexicon, and source tables but requires knowledge of SQL. Zip folder contains 20 .txt files of linguistic data from Costa Rica split into two categories: General (g) and Blogs (b). See Full-text corpus data for more information on how to use the database format
Database (Dominican Republic)
No full textCorpus del Español database format. This is the format allows for the most robust searches and allows for powerful JOINs across corpus, lexicon, and source tables but requires knowledge of SQL. Zip folder contains 20 .txt files of linguistic data from the Dominican Republic split into two categories: General (g) and Blogs (b). See Full-text corpus data for more information on how to use the database format
Database (Puerto Rico)
No full textCorpus del Español database format. This is the format allows for the most robust searches and allows for powerful JOINs across corpus, lexicon, and source tables but requires knowledge of SQL. Zip folder contains 20 .txt files of linguistic data from Puerto Rico split into two categories: General (g) and Blogs (b). See Full-text corpus data for more information on how to use the database format
Corpus del Español Complete Linear Text
No full textComplete Corpus del Español linear text data format for texts from 21 Spanish speaking countries. This format provides a textID for each text, and then the entire text on the same line. In this format, words are not annotated for part of speech or lemma. In addition, contracted words like can\u27t are separated into two parts (ca n\u27t) and punctuation is separated from words (eye level . As her). The TAR folder contains a zipped file of texts for each country