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You searched for +publisher:"University of Washington" +contributor:("Levow, Gina-Anne"). Showing records 1 – 12 of 12 total matches.

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University of Washington

1. Mills, Chad. Labeling and Automatically Identifying Basic-Level Categories.

Degree: PhD, 2018, University of Washington

 Basic-level categories are the primary categories humans use to think and communicate; they are the first categories learned, with numerous psychological advantages including quick exemplar… (more)

Subjects/Keywords: basic-level categories; first-level concepts; Linguistics; Computer science; Engineering; Linguistics

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APA (6th Edition):

Mills, C. (2018). Labeling and Automatically Identifying Basic-Level Categories. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43082

Chicago Manual of Style (16th Edition):

Mills, Chad. “Labeling and Automatically Identifying Basic-Level Categories.” 2018. Doctoral Dissertation, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/43082.

MLA Handbook (7th Edition):

Mills, Chad. “Labeling and Automatically Identifying Basic-Level Categories.” 2018. Web. 03 Aug 2020.

Vancouver:

Mills C. Labeling and Automatically Identifying Basic-Level Categories. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/43082.

Council of Science Editors:

Mills C. Labeling and Automatically Identifying Basic-Level Categories. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43082


University of Washington

2. Arshad, Syed Sameer. Exploring Phone Recognition in Pre-verbal and Dysarthric Speech.

Degree: 2019, University of Washington

 In this study, we perform phone recognition on speech utterances made by two groups of people: adults who have speech articulation disorders and young children… (more)

Subjects/Keywords: child speech; dysarthria; machine learning; phone recognition; phonetics; speech-language pathology; Linguistics; Computer science; Linguistics

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APA (6th Edition):

Arshad, S. S. (2019). Exploring Phone Recognition in Pre-verbal and Dysarthric Speech. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/44344

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arshad, Syed Sameer. “Exploring Phone Recognition in Pre-verbal and Dysarthric Speech.” 2019. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/44344.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arshad, Syed Sameer. “Exploring Phone Recognition in Pre-verbal and Dysarthric Speech.” 2019. Web. 03 Aug 2020.

Vancouver:

Arshad SS. Exploring Phone Recognition in Pre-verbal and Dysarthric Speech. [Internet] [Thesis]. University of Washington; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/44344.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arshad SS. Exploring Phone Recognition in Pre-verbal and Dysarthric Speech. [Thesis]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/44344

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

3. Rolston, Leanne Elizabeth. An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation.

Degree: 2014, University of Washington

 It has been consistently shown that Automatic Speech Recognition (ASR) performance on casual, spontaneous speech is much worse than on carefully planned or read speech… (more)

Subjects/Keywords: ASR; Distinctive Features; Pronunciation Modeling; Linguistics; linguistics

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APA (6th Edition):

Rolston, L. E. (2014). An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/25371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rolston, Leanne Elizabeth. “An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation.” 2014. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/25371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rolston, Leanne Elizabeth. “An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation.” 2014. Web. 03 Aug 2020.

Vancouver:

Rolston LE. An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation. [Internet] [Thesis]. University of Washington; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/25371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rolston LE. An Independent Assessment of Phonetic Distinctive Feature Sets used to Model Pronunciation Variation. [Thesis]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/25371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

4. Roday, Ethan. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.

Degree: 2017, University of Washington

 Polarization in American politics is at its highest levels in recent history. This polarization can be observed not only in the behaviors of citizens and… (more)

Subjects/Keywords: debate; framing; polarization; politics; topic model evaluation; topic modeling; Linguistics; Computer science; Political science; Linguistics

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APA (6th Edition):

Roday, E. (2017). Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/38652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roday, Ethan. “Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.” 2017. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/38652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roday, Ethan. “Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.” 2017. Web. 03 Aug 2020.

Vancouver:

Roday E. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. [Internet] [Thesis]. University of Washington; 2017. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/38652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roday E. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. [Thesis]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/38652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

5. Lepp, Haley. The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments.

Degree: 2020, University of Washington

 In this study, I present a corpus of short exchanges between speakers in U.S. Supreme Court Oral Arguments. Each exchange is labeled on a spectrum… (more)

Subjects/Keywords: competitive; cooperative; interruption; Oral Argument; speech; Supreme Court; Linguistics; Computer science; Political science; Linguistics

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APA (6th Edition):

Lepp, H. (2020). The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/45514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lepp, Haley. “The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments.” 2020. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/45514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lepp, Haley. “The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments.” 2020. Web. 03 Aug 2020.

Vancouver:

Lepp H. The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments. [Internet] [Thesis]. University of Washington; 2020. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/45514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lepp H. The Language of Law: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments. [Thesis]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/45514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Alexandropoulou, Maria. Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features.

Degree: 2014, University of Washington

 The focus of this thesis is detection of agreement and disagreement in multiparty conversations using existing transcripts from the ICSI corpus. We use an unsupervised… (more)

Subjects/Keywords: agreement detection; disagreement detection; linguistic coordination; multiparty conversations; sentiment analysis; Linguistics; Computer science; linguistics

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APA (6th Edition):

Alexandropoulou, M. (2014). Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/26977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alexandropoulou, Maria. “Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features.” 2014. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/26977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alexandropoulou, Maria. “Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features.” 2014. Web. 03 Aug 2020.

Vancouver:

Alexandropoulou M. Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features. [Internet] [Thesis]. University of Washington; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/26977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alexandropoulou M. Detection of Agreement and Disagreement: An investigation of linguistic coordination and conversational features. [Thesis]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Gentile, Anthony. Investigation of sentence structure in domain adaptation for sentiment classification.

Degree: 2014, University of Washington

 A popular use case of computational linguistics is the identification of sentiment in text. Many current methods for sentiment classification focus on word features within… (more)

Subjects/Keywords: cross domain; domain adaptation; sentence structure; sentiment; sentiment analysis; sentiment classification; Linguistics; linguistics

…Linguistics program at the University of Washington. Without their time and support, I would not… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Gentile, A. (2014). Investigation of sentence structure in domain adaptation for sentiment classification. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/24983

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gentile, Anthony. “Investigation of sentence structure in domain adaptation for sentiment classification.” 2014. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/24983.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gentile, Anthony. “Investigation of sentence structure in domain adaptation for sentiment classification.” 2014. Web. 03 Aug 2020.

Vancouver:

Gentile A. Investigation of sentence structure in domain adaptation for sentiment classification. [Internet] [Thesis]. University of Washington; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/24983.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gentile A. Investigation of sentence structure in domain adaptation for sentiment classification. [Thesis]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/24983

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Podgornik, Stella M. Automatic Detection Of Language Levels in L2 English Learners.

Degree: 2012, University of Washington

 This study analyzes different features which would enable classifiers to detect language levels in adult second language (L2) English Learners. Approximately 46 different speech samples… (more)

Subjects/Keywords: computational linguistics; second language learning; Linguistics; Language; Linguistics

…ACKNOWLEDGMENTS The author wishes to express sincere appreciation to the University of Washington, where… 

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APA (6th Edition):

Podgornik, S. M. (2012). Automatic Detection Of Language Levels in L2 English Learners. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/20283

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Podgornik, Stella M. “Automatic Detection Of Language Levels in L2 English Learners.” 2012. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/20283.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Podgornik, Stella M. “Automatic Detection Of Language Levels in L2 English Learners.” 2012. Web. 03 Aug 2020.

Vancouver:

Podgornik SM. Automatic Detection Of Language Levels in L2 English Learners. [Internet] [Thesis]. University of Washington; 2012. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/20283.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Podgornik SM. Automatic Detection Of Language Levels in L2 English Learners. [Thesis]. University of Washington; 2012. Available from: http://hdl.handle.net/1773/20283

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Mills, Chad. Learning Board Game Rules from an Instruction Manual.

Degree: 2013, University of Washington

 Board game rulebooks offer a convenient scenario for extracting a systematic logical structure from a passage of text since the mechanisms by which board game… (more)

Subjects/Keywords: board game rules; computational linguistics; entity extraction; logical system extraction; natural language processing; relation extraction; Linguistics; Computer science; linguistics

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APA (6th Edition):

Mills, C. (2013). Learning Board Game Rules from an Instruction Manual. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/23470

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mills, Chad. “Learning Board Game Rules from an Instruction Manual.” 2013. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/23470.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mills, Chad. “Learning Board Game Rules from an Instruction Manual.” 2013. Web. 03 Aug 2020.

Vancouver:

Mills C. Learning Board Game Rules from an Instruction Manual. [Internet] [Thesis]. University of Washington; 2013. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/23470.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mills C. Learning Board Game Rules from an Instruction Manual. [Thesis]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/23470

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Lushtak, Sergei A. Unsupervised Morphological Word Clustering.

Degree: 2013, University of Washington

 This thesis describes a system which clusters the words of a given lexicon into conflation sets (sets of morphologically related words). The word clustering is… (more)

Subjects/Keywords: acquisition; clustering; computational; conflation; morphology; unsupervised; Linguistics; Computer science; linguistics

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Lushtak, S. A. (2013). Unsupervised Morphological Word Clustering. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/22453

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lushtak, Sergei A. “Unsupervised Morphological Word Clustering.” 2013. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/22453.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lushtak, Sergei A. “Unsupervised Morphological Word Clustering.” 2013. Web. 03 Aug 2020.

Vancouver:

Lushtak SA. Unsupervised Morphological Word Clustering. [Internet] [Thesis]. University of Washington; 2013. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/22453.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lushtak SA. Unsupervised Morphological Word Clustering. [Thesis]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/22453

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

11. Kedziorski, Richard Koncel. Understanding and Generating Multi-Sentence Texts.

Degree: PhD, 2019, University of Washington

 English is often found in units comprised of multiple sentences, but synthesizing information across sentence boundaries, whether for understanding or generation, is a difficult challenge… (more)

Subjects/Keywords:

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APA (6th Edition):

Kedziorski, R. K. (2019). Understanding and Generating Multi-Sentence Texts. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/44340

Chicago Manual of Style (16th Edition):

Kedziorski, Richard Koncel. “Understanding and Generating Multi-Sentence Texts.” 2019. Doctoral Dissertation, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/44340.

MLA Handbook (7th Edition):

Kedziorski, Richard Koncel. “Understanding and Generating Multi-Sentence Texts.” 2019. Web. 03 Aug 2020.

Vancouver:

Kedziorski RK. Understanding and Generating Multi-Sentence Texts. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/44340.

Council of Science Editors:

Kedziorski RK. Understanding and Generating Multi-Sentence Texts. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/44340


University of Washington

12. Henner, Kevin. Enriching Scientific Paper Embeddings with Citation Context.

Degree: 2020, University of Washington

 Amid profusion of scientific literature, methods to organize and search available papers are quite valuable. Embedded representations of papers have potential to be used as… (more)

Subjects/Keywords: bibliometrics; network embedding; scientometrics; text embedding; Linguistics; Computer science; Information science; Linguistics

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APA (6th Edition):

Henner, K. (2020). Enriching Scientific Paper Embeddings with Citation Context. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/45219

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Henner, Kevin. “Enriching Scientific Paper Embeddings with Citation Context.” 2020. Thesis, University of Washington. Accessed August 03, 2020. http://hdl.handle.net/1773/45219.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Henner, Kevin. “Enriching Scientific Paper Embeddings with Citation Context.” 2020. Web. 03 Aug 2020.

Vancouver:

Henner K. Enriching Scientific Paper Embeddings with Citation Context. [Internet] [Thesis]. University of Washington; 2020. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1773/45219.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Henner K. Enriching Scientific Paper Embeddings with Citation Context. [Thesis]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/45219

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.