Current High Energy and Nuclear Physics (HENP) libraries and frameworks were written before multicore systems became widely deployed and used. From this environment, a ’single-thread’ processing model naturally emerged but the implicit assumptions it encouraged are greatly impairing our abilities to scale in a multicore/manycore world. While parallel programming still in an intensive phase of R...

Stemming is an approach used to reduce a word to its stem or root form and is used widely in information retrieval tasks to increase the recall rate and give us most relevant results. There are number of ways to perform stemming ranging from manual to automatic methods, from language specific to language independent each having its own advantage over the other. This paper represents a comparati...

In this paper Discriminative Language Models (DLMs) are applied to the Turkish Broadcast News transcription task. Turkish presents a challenge to Automatic Speech Recognition (ASR) systems due to its rich morphology. Therefore, in addition to word n-gram features, morphology based features like root n-grams and inflectional group n-grams are incorporated into DLMs in order to improve the langua...

This paper describes a method for the development of Bangla Enconversion within the framework of the Universal Networking Language (UNL).We also discuss some issues and problems related to the UNL representation that affect the quality of generation. Additionally, the lingware engineering is introduced as a technique to enhance the quality and increase the development efficiency. In this paper,...

One of the objectives of investigating child second language acquisition (SLA) is to find out to what extent it is similar to first language (L1) acquisition. Assuming that L1 acquisition is guided by principles of Universal Grammar (UG), it is often thought that second language (L2) acquisition by children is of the same nature, as it seems so easy for young learners to acquire a foreign langu...

Deep learning is moving towards increasingly sophisticated optimization objectives that employ higher-order functions, such as integration, continuous optimization, and root-finding. Since differentiable programming frameworks PyTorch TensorFlow do not have first-class representations of these developers must reason about the semantics manually translate them to code. We present a language, $\l...

OBJECTIVE To investigate the connectivity associated with the reorganized language network in patients with temporal lobe epilepsy (TLE) using cortico-cortical evoked potential (CCEP), which reveals the brain networks. METHODS Six patients with intractable TLE who underwent chronic intracranial electrode placement and revealed an atypical distribution of posterior language areas (Wernicke's a...

This paper argues for a distinction between word formation from roots and word formation from existing words. Focusing on Hebrew, it is shown that roots – and only roots – may be assigned multiple interpretations in different environments. When the basis for the derivation is a word, this word forces its semantic and phonological properties on any element derived from it. To account for this di...

The aim of this paper is to use formal power series techniques to study the structure of small arithmetic complexity classes such as GapNC and GapL. More precisely, we apply the Kleene closure of languages and the formal power series operations of inversion and root extraction to these complexity classes. We define a counting version of Kleene closure and show that it is intimately related to i...