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Vitevitch, Michael S.; Storkel, Holly L. – Language and Speech, 2013
It has been hypothesized that known words in the lexicon strengthen newly formed representations of novel words, resulting in words with dense neighborhoods being learned more quickly than words with sparse neighborhoods. Tests of this hypothesis in a connectionist network showed that words with dense neighborhoods were learned better than words…
Descriptors: Language Acquisition, Phonology, Computational Linguistics, Vocabulary
Baayen, R. Harald; Hendrix, Peter; Ramscar, Michael – Language and Speech, 2013
Arnon and Snider ((2010). More than words: Frequency effects for multi-word phrases. "Journal of Memory and Language," 62, 67-82) documented frequency effects for compositional four-grams independently of the frequencies of lower-order "n"-grams. They argue that comprehenders apparently store frequency information about…
Descriptors: Discrimination Learning, Computational Linguistics, Language Processing, Models
Beekhuizen, Barend; Bod, Rens; Zuidema, Willem – Language and Speech, 2013
In this paper we present three design principles of language--experience, heterogeneity and redundancy--and present recent developments in a family of models incorporating them, namely Data-Oriented Parsing/Unsupervised Data-Oriented Parsing. Although the idea of some form of redundant storage has become part and parcel of parsing technologies and…
Descriptors: Language Acquisition, Models, Bayesian Statistics, Computational Linguistics
van den Bosch, Antal; Daelemans, Walter – Language and Speech, 2013
Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any…
Descriptors: Memory, Schemata (Cognition), Language Processing, Thinking Skills
Warner, Natasha; Otake, Takashi; Arai, Takayuki – Language and Speech, 2010
While listeners are recognizing words from the connected speech stream, they are also parsing information from the intonational contour. This contour may contain cues to word boundaries, particularly if a language has boundary tones that occur at a large proportion of word onsets. We investigate how useful the pitch rise at the beginning of an…
Descriptors: Cues, Word Recognition, Japanese, Intonation
Marchand, Yannick; Adsett, Connie R.; Damper, Robert I. – Language and Speech, 2009
Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the…
Descriptors: Syllables, Databases, English, Computational Linguistics
Eddington, David; Elzinga, Dirk – Language and Speech, 2008
The phonetic context in which word-medial flaps occur (in contrast to [t[superscript h]]) in American English is explored. The analysis focuses on stress placement, following phone, and syllabification. In Experiment 1, subjects provided their preference for [t[superscript h]] or [flapped t] in bisyllabic nonce words. Consistent with previous…
Descriptors: North American English, Language Variation, Computational Linguistics, Phonology
Roll, Mikael; Frid, Johan; Horne, Merle – Language and Speech, 2007
Hesitation disfluencies after phonetically prominent stranded function words are thought to reflect the cognitive coding of complex structures. Speech fragments following the Swedish function word "att" "that" were analyzed syntactically, and divided into two groups: one with "att" in disfluent contexts, and the other with "att" in fluent…
Descriptors: Form Classes (Languages), Componential Analysis, Swedish, Computational Linguistics

McDonald, Scott A.; Shillcock, Richard C. – Language and Speech, 2001
Presents a new dimension of lexical variation--contextual distinctiveness. CD is a corpus-derived summary measure of the frequency distribution of the contexts in which a word occurs, and it is naturally compatible with contextual theories of semantic representation and meaning. An experiment shows that CD is a better predictor of lexical decision…
Descriptors: Computational Linguistics, Context Effect, Language Processing, Semantics
Aylett, Matthew; Turk, Alice – Language and Speech, 2004
This paper explores two related factors which influence variation in duration, prosodic structure and redundancy in spontaneous speech. We argue that the constraint of producing robust communication while efficiently expending articulatory effort leads to an inverse relationship between language redundancy and duration. The inverse relationship…
Descriptors: Speech, Redundancy, Correlation, Interpersonal Communication

Beattie, Geoffrey W.; Butterworth, B. L. – Language and Speech, 1979
Demonstrates that the contextual probability of lexical items in a continuous sample of spontaneous speech, as measured by the predictability of words in context, is related to word frequency. (Author/RL)
Descriptors: Adults, Cloze Procedure, Computational Linguistics, Context Clues