Young word learners fail to discriminate phonetic contrasts in certain situations, an observation that has been used to support arguments that the nature of lexical representation and lexical processing changes over development. An alternative possibility, however, is that these failures arise naturally as a result of how word familiarity affects lexical processing. In the present work, we expl...

The Word-RAM is a model of computation that takes into account the capacity of a computer to manipulate a word of w bits with a single instruction. Many modern constraint solvers use a bitset data structure to encode the values contained in the variable domains. Using the algorithmic techniques developed for the Word-RAM, we propose new filtering algorithms that can prune Opwq values from a dom...

Performance of an information retrieval system depends on its weighting scheme. Weighting of a term can be seen in two aspects, local and global. For each type of weighting scheme, generally, single terms are considered. Term dependency is quite natural in a document. Word pairs or phrases can better describe a document in place of single terms. In the present paper an attempt has been made to ...

In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf singlevector and multi-sense vector models on a benchmark phrase similarity task and a novel task for word-sense discrimination. We find that single-sense vec...

While many object-oriented languages impose space overhead of only one word per object to support features like virtual method dispatch, Java’s richer functionality has led to implementations that require two or three header words per object. This space overhead increases memory usage and attendant garbage collection costs, reduces cache locality, and constrains programmers who might naturally ...

introduction: one of the important evaluative indexes of language development is word finding ability. the application of formal assessment tools, such as twf-2, is the most common way of assessing this ability in western countries. there is not any formal assessment tool for assessment of this ability in iran. therefore this study aimed to determine the validity and reliability of persian vers...

There is now considerable evidence showing that the time to read a word out loud is influenced by an interaction between orthographic length and lexicality. Given that length effects are interpreted by advocates of dual-route models as evidence of serial processing this would seem to pose a serious challenge to models of single word reading which postulate a common parallel processing mechanism...

We tested recognition memory for items and associations in memory-impaired patients with bilateral lesions thought to be limited to the hippocampal region. In Experiment 1 (Combined memory test), participants studied words and then took a memory test in which studied words, new words, studied word pairs, and recombined word pairs were presented in a mixed order. In Experiment 2 (Separated memor...

Correct automatic terminological annotation of texts in a corpus can be sometimes challenging task, especially for moderately or heavily inflected languages with relatively free word order. We explore the possibility simple based on sequence matching lemmatized to annotate Slovak language IATE entries. The accuracy annotating legal is very good when multiword terms, while single-word terms incr...

| Entropy-constrained vector quantization (ECVQ) 3] offers substantially improved image quality over vector quan-tization (VQ) at the cost of additional encoding complexity. We extend results in the literature for fast nearest neighbor search of VQ to ECVQ. We use a new, easily computed distance that successfully eliminates most codewords from consideration.