The capacity of short-term memory (STM) for verbal materials depends both upon the number of familiar chunks and upon the average complexity (number of syllables) of the chunks. A model that predicts STM capacity well was built, incorporating these two factors, for a number of experiments that used both Chinese and English language materials. One experiment, which used Chinese homophones, showe...

Virtual Machine authors face a difficult choice between low performance, cheap interpreters, or specialized and costly compilers. A method able to bridge this wide gap is the existing code-copying technique that reuses chunks of the VM’s binary code to create a simple JIT. This technique is not reliable without a compiler guaranteeing that copied chunks are still functionally equivalent despite...

We describe how the Chunks and Tasks programming model can be used for efficient parallelization of computations. In the Chunks and Tasks model there is no message passing, instead the application programmer specifies how to divide the work into small pieces (tasks) that can be executed in parallel. Abstractions for data (chunks) are also provided. The application programmer need not worry abou...

The processing of parallel corpus plays very crucial role for improving the overall performance in Phrase Based Statistical Machine Translation systems (PBSMT). In this paper the automatic alignments of different kind of chunks have been studied that boosts up the word alignment as well as the machine translation quality. Single-tokenization of Noun-noun MWEs, phrasal preposition (source side o...

Evidence is provided that the patterns of pauses that occur during the process of writing simple word phrases constitute a substantial temporal signal that reflects the structure of the chunks in working memory. This temporal signal is apparent in un-aggregated data for individual participants in single trials. Five and six word phrases, with word lengths of one to six letters were used. Pause ...

Chunks and the notion of activation : a facilitation model for sentence processing We propose in this paper to integrate the notion of chunk within a global architecture for sentence processing. Chunks play an important role in cognitive theories such as ACT-R cite Anderson04 : they constitute global processing units which can be accessed directly via short or long term memory buffers. Chunks a...

We present the description of our submission to SemEval-2016 Task 2, for the sub-task of aligning pre-annotated chunks between sentence pairs and providing similarity and relatedness labels for the alignment. The objective of the task is to provide interpretable semantic textual similarity assessments by adding an explanatory layer to aligned chunks. We analysed the provided datasets, consideri...

We measure the number of true proportional analogies between chunks in two typologically different languages on a similar corpus: a 20,000 sentence long Japanese-English bicorpus. We verify that at least 96% of analogies of form between chunks are also analogies of meaning. We conclude that analogy ought to be considered as a reliable structuring device between chunks.

In the analysis of natural language text a key step is named entity recognition, finding all complex noun phrases that denote persons, organizations, locations, and other entities designated by a name. In this paper we introduce the hunner open source language-independent named entity recognition system, and present results for Hungarian. When the input to hunner is already morphologically anal...

Intrinsic plagiarism detection is a sub-task of authorship identification in which outlier chunks must be detected solely on the basis of stylistic differences from the main body of the text. We present a first attempt at utilizing words that appear infrequently in a text as stylistic markers for distinguishing outlier chunks in the text. In the first phase of our method we cluster chunks of te...