Although naturalistic studies of spontaneous speech suggest that young children can monitor their speech, the mechanisms for detection and correction of speech errors in children are not well understood. In particular, there is little research on monitoring semantic errors in this population. This study provides a systematic investigation of detection and correction of semantic errors in childr...

Objective Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT. Material and Methods All non-lattice subgraphs (the structural part) in SNOMED CT are exhaustively extracte...

There is extensive evidence that the segmental (i.e., phonemic) layer of phonology is routinely activated during reading, but little is known about whether phonological activation extends beyond phonemes to subsegmental layers (which include articulatory information, such as voicing) and suprasegmental layers (which include prosodic information, such as lexical stress). In three proofreading ex...

A theory of interlanguage (IL) lexicons is outlined, with emphasis on IL lexical entries, based on the HPSG notion of lexical sign. This theory accounts for idiosyncratic or lexical transfer of syntactic subcategorisation and idioms from the first language to the IL. It also accounts for developmental stages in IL lexical grammar, and grammatical variation in the use of the same lexical item. T...

We report the naming performance of a fluent aphasic, DP, who shows a striking dissociation between semantic and phonological (nonword) errors: he produced numerous semantic errors but virtually no phonological errors. DP's pattern of performance is the reverse of that reported for patient DM (Caramazza, Papagno, & Ruml, 2000), who only made phonological errors in a naming task. These patterns ...

Correcting errors in a data set is a critical issue. This task can be either hand-made by experts, or by crowdsourcing methods or automatically done using algorithms. Although even if the rate of errors present in a given lexical network is rather low, it is important to reduce it. We present here automatic methods for detecting potential secondary errors that would result from automatic infere...

<p><em>The study aimed to examine the EFL students’ lexical errors in writing recount texts. This employed a descriptive qualitative method involving 31 students and uses taxonomy of James’ analyzing The findings revealed that there was total 161 writings. Likewise, it claimed misselection became most frequent error, with 73 errors. next suffix type 35 calque 10 Furthermore, results...

Error analysis (EA) has been broadly applied to the researches of writing, speaking, second language acquisition (SLA) and translation. This study was carried out based on Carl James' error taxonomy to investigate the distribution of lexical errors in Chinese-English (C-E) translation of drug package inserts (DPIs)(1), explore the underlying causes and propose some translation strategies for co...