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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
Abstract: This papermodels unsupervised learning of an identity-based pattern (or copying) in speech called reduplication from raw continuous data with deep convolutional neural networks. We use the ciwGAN architecture (Beguˇs, 2021a) in which learning of meaningful representations in speech emerges from a requirement that the CNNs generate informative data. We propose a technique to wug-test CNNs trained on speech and, based on four generative tests, argue that the network learns to represent an identity-based pattern in its latent space. By manipulating only two categorical variables in the latent space, we can actively turn an unreduplicated form into a reduplicated form with no other substantial changes to the output in the majority of cases.We also argue that the network extends the identity-based pattern to unobserved data. Exploration of how meaningful representations of identity-based patterns emerge in CNNs and how the latent space variables outside of the training range correlate with identity-based patterns ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/j1k8-bt45
https://underline.io/lecture/38202-identity-based-patterns-in-deep-convolutional-networks-generative-adversarial-phonology-and-reduplication
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Signed Coreference Resolution ...
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Backtranslation in Neural Morphological Inflection ...
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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
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Automatic Error Type Annotation for Arabic ...
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Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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Cross-document Event Identity via Dense Annotation ...
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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
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Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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Detecting Gender Bias using Explainability ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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Blindness to Modality Helps Entailment Graph Mining ...
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