Across most languages, verbs produced by agrammatic aphasic individuals are frequently marked by syntactically and semantically inappropriate inflectional affixes, such as Last night, I walking home. As per language production models, verb inflection errors in English agrammatism could arise from three potential sources: encoding the verbs' morphology based on temporal information at the concep...

This paper describes a software maintenance (SM) knowledge based system ealled SOFTM, serving the three following purposes: (1) assisting a software programmer or analyst in his application code maintenFce tasks, (2) generating and updating automatically sonware correction documentation, (3) helping the end user register, and possibly interpret, observed errors on the successive application cod...

Linguistic acceptability judgments are a critical part of the toolkit for linguistic investigation. An implicit assumption of much work using these judgments is that the data are stable, presumably reflecting the underlying nature of grammatical representation. Here, I demonstrate that for a range of constructions — including so-called island-violating sentences, those with resumptive pronouns,...

Atypical or idiosyncratic language is a characteristic of autism spectrum disorder (ASD). In this paper, we discuss previous work identifying language errors associated with atypical language in ASD and describe a procedure for reproducing those results. We describe our data set, which consists of transcribed data from a widely used clinical diagnostic instrument (the ADOS) for children with au...

In the state-of-the-art speech synthesis system, prosodic phrase prediction is the most serious problem which leads to about 40% of text analysis errors. Two optimization strategies are proposed in this paper to deal with two major types of prosodic phrase prediction errors. First, unsupervised adaptation method is proposed to alleviate the mismatching problem between training and testing. Seco...

Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This paper introduces syntactic knowledge to improve global reordering capability of SMT system. Syntactic knowledge such as boundary words, POS information and dependencies is used to guide phrase reordering. Not on...

This article is in the context of the Computer-Assisted Language Learning (CALL) framework, and addresses more specifically the automation of dictation exercises. It presents a method for correcting learners’ copies. Based around Natural Language Processing (NLP) tools, this method is original in two respects. First, it exploits the composition of finite-state machines, to both detect and delim...

The present study is an attempt to explore the effect of one of the pragmatic elements of discourse (namely the conceptualizable agent) on overpassivization of English unaccusative verbs. Through employing the questionnaire originally used by Ju, (2000), 206 Iranian intermediate and advanced English majors were asked to choose the more grammatical form (active or passive) in target sentences wi...

: This study aims to explore the relationship between syntactic and lexical complexity and also the relationship between different aspects of lexical complexity. To this end, speech monologs of 35 Iranian high-intermediate learners of English on three different tasks (i.e. argumentation, description, and narration) were analyzed for correlations between one measure of sy...

Background: This study investigates the role of lexical information in normal and aphasic sentence comprehension. Effects of verb biases in normal comprehension have been well documented in previous studies (e.g., Spivey-Knowlton & Sedivy, 1995; Trueswell, Tanenhaus, & Kello, 1993), but their role in aphasic language processing has largely been ignored (with the exceptions of Menn et al., 1998,...