We introduce a simple music notation system based on onomatopoeia. Although many text-based music notation systems have been proposed, most of them are cryptic and much more difficult to understand than standard graphical musical scores. Our music notation system, called the Sutoton notation, is based on onomatopoeia and note names which are easily pronounceable by humans with no extra training...

Experiential Learning is recognised as an essential element of any learning situation at all levels. However, in the Humanities, it is perhaps true to say that the higher the level of education, the less frequently experiential learning is employed as a technique. ‘Role play’ is sometimes used and it will be suggested here that the online environment allows for ‘role play’ or assuming the mantl...

Use of the Internet, in particular searching the Internet, is becoming an essential part of school education at all levels. In particular, in the UK it is part of the National Curriculum, which must be taught to all children at state schools. However, for the youngest children text-based searches are difficult or impossible to use as the children are only starting to read and write fluently. Fo...

Due to limitations of conventional text-based closed captions, expressions of paralinguistic and emotive information contained in the dialogue of television and film content are often missing. We present a framework for enhancing captions that uses animation and a set of standard properties to express five basic emotions. Using an action research method, the framework was developed from a desig...

This appendix contains the proofs and additional analyses that we mention in paper but that we decided not to report there to preserve space. The appendix is organized as follows. Section A proves Corollary 2. Section B proves that the stock market equilibrium is unique in our model. Section C replicates the results in Tables 2 and 3 of the paper using stock return co-movement to measure di¤ere...

Textual criticism consists of the identification and analysis of variant readings among different versions of a text. Being a relatively simple task for modern languages, the collation of medieval text traditions ranges from the complex to the virtually impossible depending on the degree of instability of textual transmission. We present a visual analytics environment that supports computationa...

Canonical morphological segmentation aims to divide words into a sequence of standardized segments. In this work, we propose a character-based neural encoderdecoder model for this task. Additionally, we extend our model to include morphemelevel and lexical information through a neural reranker. We set the new state of the art for the task improving previous results by up to 21% accuracy. Our ex...

We demonstrate that an attention-based encoder-decoder model can be used for sentence-level grammatical error identification for the Automated Evaluation of Scientific Writing (AESW) Shared Task 2016. The attention-based encoder-decoder models can be used for the generation of corrections, in addition to error identification, which is of interest for certain end-user applications. We show that ...

We are trying to integrate television cooking videos with corresponding cookbooks. The cookbook has the advantage of the capability to easily browse through a cooking procedure, but understanding of actual cooking operations through written explanation is difficult. On the other hand, a video contains visual information that text cannot express sufficiently, but it lacks the ease to randomly br...