Our project focuses on VQA: Visual Question Answering [1], specifically, answering multiple choice questions about a given image. We start by building MultiLayer Perceptron (MLP) model with question-grouped training and softmax loss. GloVe embedding and ResNet image features are used. We are able to achieve near state-of-the-art accuracy with this model. Then we add image-question coattention [...

In this study, we analyse a sample of 76 utterances drawn from corpus spontaneous speech the north England. The selected statements present declarative structure with different pragmatic functions (yes/no questions, echo tag and rhetorical questions). objective study is to observe describe intonation questions in English England speech. Likewise, pertinent bibliographic review carried out for i...

Previous research suggests that intonation is a particularly challenging aspect of L2 speech learning. While most research focuses on speech production, we widen the focus and study the perception of intonation by L2 learners. We investigate whether advanced German learners of English have knowledge of the appropriate English intonation patterns in a narrative context with different sentence ty...

We report the development of an acoustic telemetry tag used to monitor electromyograms (EMGs) remotely from free-swimming marine fish. The device described amplifies and filters the EMG and then converts the electrical waveform into a frequency-modulated acoustic signal that is transmitted through water. The signal is then received, demodulated and recorded by the receiving system. The EMG tag ...

Machine learning offers novel ways and means to design personalized learning systems wherein each student’s educational experience is customized in real time depending on their background, learning goals, and performance to date. SPARse Factor Analysis (SPARFA) is a novel framework for machine learning-based learning analytics, which estimates a learner’s knowledge of the concepts underlying a ...

a r t i c l e i n f o Recent advances in satellite tagging technologies have provided scientists growing opportunities to resolve previously unknown spatial ecology of marine predators, including sharks. Such an understanding is particularly important at this time given recent declines in shark populations worldwide. Here we reviewed 48 studies published in the primary literature between 1984 a...

The present paper investigates the issue of downtrends in different types of yes/no question in Estonian. The types that are compared comprise those beginning with an interrogative particle kas (whether), tag questions ending with the particle või (or), and morphosyntactically unmarked questions. It appears that these differ with respect to the slope of the fall in prenuclear accents and the st...