In an eye-tracking experiment we examined whether Chinese readers were sensitive to information concerning how often a Chinese character appears as a single-character word versus the first character in a two-character word, and whether readers use this information to segment words and adjust the amount of parafoveal processing of subsequent characters during reading. Participants read sentences...

Automatic extraction of bilingual Multi-Word Units is an important subject of research in the automatic bilingual corpus alignment field. There are many cases of single source words corresponding to target multi-word units. This paper presents an algorithm for the automatic alignment of single source words and target multi-word units from a sentence-aligned parallel spoken language corpus. On t...

Objectives: Reading is a language skill based on visual modality which recently is addressed as a facilitator of expressive language in children with Down syndrome. The aim was designing a whole word reading protocol and examining its effects on the language skills of children with Down syndrome. Methods: A whole word reading protocol was developed and was examined through a single-subject s...

Single word production requires that phoneme activation is maintained while articulatory conversion is taking place. Word serial recall, connected speech and non-word production (repetition and spelling) are all assumed to involve a phonological output buffer. A crucial question is whether the same memory resources are also involved in single word production. We investigate this question by ass...

But the idea that categories and word meanings are single mental entities can also have a distributed connectionist interpretation. In distributed connectionist models an entity is not represented by a single network unit as in localist connectionist models. However, categories or word meanings can be considered as corresponding to some particular pattern of activation on an ensemble of network...

We participated in the Third International Chinese Word Segmentation Bakeoff. Specifically, we evaluated our Chinese word segmenter NEUCipSeg in the close track, on all four corpora, namely Academis Sinica (AS), City University of Hong Kong (CITYU), Microsoft Research (MSRA), and University of Pennsylvania/University of Colorado (UPENN). Based on Support Vector Machines (SVMs), a basic segmente...

Acquiring vocabulary has always been recognized as a significant and challenging part of language learning process. In this study, the researcher examined the extent to which form recall of target lexical items by learners of English as a foreign language (EFL) is affected by a) repetition and b) by the type of target item; single words versus collocations. The treatment consisted of non-commun...

Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the performance of medical document classification. To accomplish this objective, we evaluated seven different approaches to represent real word medical documents. The text representation approaches investigated in this pa...

How do children infer the meaning of a word? Current accounts of word learning assume that children expect a word to map onto exactly one concept whose members form a coherent category. If this assumption was strictly true, children should infer that a homophone, such as ”bat”, refers to a single superordinate category that encompasses both animal-bats and baseball-bats. The current study explo...