This paper describes a lexicon-based text normalisation approach for Spanish tweets. We first compare English and Spanish text normalisation, and hypothesise that an approach previously proposed for English can be adapted to Spanish. A corpus-derived normalisation lexicon is built using distributional similarity, and is combined with existing lexicons (e.g., containing Spanish Internet slang). ...

The shape-based retrieval is defined as the operation that searches for the (sub)sequences whose shapes are similar to that of a query sequence regardless of their actual element values. In this paper, we propose a similarity model suitable for shape-based retrieval and present an indexing method for supporting the similarity model. The proposed similarity model enables to retrieve similar shap...

It is known that the β-conversions of the full intuitionistic propositional calculus (IPC) translate into βη-conversions of the atomic polymorphic calculus Fat. Since Fat enjoys the property of strong normalization for βη-conversions, an alternative proof of strong normalization for IPC considering β-conversions can be derived. In the present paper we improve the previous result by analyzing th...

We systematically explored a spectrum of normalization algorithms related to Batch Normalization (BN) and propose a generalized formulation that simultaneously solves two major limitations of BN: (1) online learning and (2) recurrent learning. Our proposal is simpler and more biologically-plausible. Unlike previous approaches, our technique can be applied out of the box to all learning scenario...

function/sub-system At this level of the AH, there are 12 variables that describe the state of the microworld: MO1, EI1, EO1, M1, E1, MI1, MO2, EI2, EO2, M2, E2 and MI2 (see Bisantz and Vicente 1994). With the addition of time, they form a 13-dimensional space. Multi-variance is de®ned in the same way as variance at the goal level, except thatthe variables are normalized with respect to the...

Most contemporary ASR systems running on desktops use continuous-density HMMs (CHMM) with floating-point representations. It is important to reduce their memory and power requirements so that they can be more affordable for portable devices. In this paper, we propose a novel speech recognition back-end based on custom arithmetic, where all floating-point variables are represented by integer ind...

Objective(s): Alternative normalization methods were proposed to solve the biased information of SPM in the study of neurodegenerative disease. The objective of this study was to determine the most suitable count normalization method for SPM analysis of a neurodegenerative disease based on the results of different count normalization methods applied on a prepared digital phantom similar to one ...

Database normalization is a technique for designing relational database tables to minimize duplication of information in order to safeguard the database against certain types of logical or structural problems, namely data anomalies. Therefore database normalization is a central topic in database theory, and its correct understanding is crucial for students. Unfortunately, the subject it is ofte...

MicroRNAs (miRNAs) are short, endogenous non-coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low-density qPCR arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variati...