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- Computational linguistics (1)
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- Deceptive speech (1)
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- Fusion (1)
- Intergroup variability (1)
- Korean affricates (1)
- Korean fricatives (1)
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Articles 1 - 5 of 5
Full-Text Articles in Computational Linguistics
Recursive Neural Networks For Semantic Sentence Representation, Liam S. Geron
Recursive Neural Networks For Semantic Sentence Representation, Liam S. Geron
Dissertations, Theses, and Capstone Projects
Semantic representation has a rich history rife with both complex linguistic theory and computational models. Though this history stretches back almost 50 years (Salton, 1971), recently the field has undergone an unexpected shift in paradigm thanks to the work of Mikolov et al., 2013(a & b) which has proven that vector-space semantic models can capture large amounts of semantic information. As of yet, these semantic representations are computed at the word level, and finding a semantic representation of a phrase is a much more difficult challenge. Mikolov et al., 2013(a&b) proved that their word vectors can be composed arithmetically to …
Describing Doggo-Speak: Features Of Doggo Meme Language, Jennifer Bivens
Describing Doggo-Speak: Features Of Doggo Meme Language, Jennifer Bivens
Dissertations, Theses, and Capstone Projects
Doggo-speak is a specialized way of writing most commonly associated with captions on Doggo memes, humorous images of dogs shared in online communities. This paper will explore linguistic features of Doggo-speak through analysis of social media posts by Doggo fan pages. It will use the discussed features as inputs to five machine learning classifiers and will show, through this classification task, that the discussed features are sufficient for distinguishing between Doggo-speak and more general English text.
Intergroup Variability In Personality Recognition, Arundhati Sengupta
Intergroup Variability In Personality Recognition, Arundhati Sengupta
Dissertations, Theses, and Capstone Projects
Automatic Identification of personality in conversational speech has many applications in natural language processing such as leader identification in a meeting, adaptive dialogue systems, and dating websites. However, the widespread acceptance of automatic personality recognition through lexical and vocal characteristics is limited by the variability of error rate in a general purpose model among speakers from different demographic groups. While other work reports accuracy, we explored error rates of automatic personality recognition task using classification models for different genders and native language groups (L1). We also present a statistical experiment showing the influence of gender and L1 on the relation …
Multimodal Depression Detection: An Investigation Of Features And Fusion Techniques For Automated Systems, Michelle Renee Morales
Multimodal Depression Detection: An Investigation Of Features And Fusion Techniques For Automated Systems, Michelle Renee Morales
Dissertations, Theses, and Capstone Projects
Depression is a serious illness that affects a large portion of the world’s population. Given the large effect it has on society, it is evident that depression is a serious health issue. This thesis evaluates, at length, how technology may aid in assessing depression. We present an in-depth investigation of features and fusion techniques for depression detection systems. We also present OpenMM: a novel tool for multimodal feature extraction. Lastly, we present novel techniques for multimodal fusion. The contributions of this work add considerably to our knowledge of depression detection systems and have the potential to improve future systems by …
Speech Perception In “Bubble” Noise: Korean Fricatives And Affricates By Native And Non-Native Korean Listeners, Jiyoung Choi
Speech Perception In “Bubble” Noise: Korean Fricatives And Affricates By Native And Non-Native Korean Listeners, Jiyoung Choi
Dissertations, Theses, and Capstone Projects
The current study examines acoustic cues used by second language learners of Korean to discriminate between Korean fricatives and affricates in noise and how these cues relate to those used by native Korean listeners. Stimuli consist of naturally-spoken consonant-vowel-consonant-vowel (CVCV) syllables: /sɑdɑ/, /s*ɑdɑ/, /tʃɑdɑ/, /tʃhɑdɑ/, and /tʃ*ɑdɑ/. In this experiment, the “bubble noise” methodology of Mandel at al. (2016) was used to identify the time-frequency locations of important cues in each utterance, i.e., where audibility of the location is significantly correlated with correct identification of the utterance in noise. Results show that non-native Korean listeners can discriminate between …