Quantitative measures of vocabulary use have added much to our understanding first and second language writing development. This paper argues for register appropriateness as a useful addition these tools. Developing an idea proposed by Durrant Brenchley (2019), it explores what such can tell us about development in the L1 school children England critically examines how results should be interpr...

BACKGROUND Parkinson's disease (PD) is a neurodegenerative syndrome of the basal ganglia (BG) believed to disrupt cortical-subcortical pathways critical to motor, cognitive and expressive language function. Recent studies have shown subtle deficits in expressive language performance among individuals with PD even in the earliest stage of the disease. The objective of this study was to use measu...

This dissertation is about the structure of temporal semantics and children’s acquisition of temporal language. It argues for the importance of investigating semantics both at the abstract level of linguistic structures and at the concrete level of the time-course of acquisition, as these two levels provide natural constraints for each other. With respect to semantics, it provides a computation...

Words have their own conceptual representations, semantic properties, and physical forms. These lexical characteristics not only set words apart as a distinct item in the lexical repertoire but also provide valuable insight into the processes and mechanisms of language production. Over the past decades there has been a large body of research examining how word meaning, form, and usage directly ...

In this paper, we propose a system for aspect-based sentiment analysis (ABSA) by incorporating the concepts of multi-objective optimization (MOO), distributional thesaurus (DT) and unsupervised lexical induction. The task can be thought of as a sequence of processes such as aspect term extraction, opinion target expression identification and sentiment classification. We use MOO for selecting th...

This document reports on research conducted for the University of Maryland Machine Translation (MT) project. The primary focus of this investigation concerns the lexical aspect feature [+telic] (i.e., having an inherent end, as in the verb win, vs. the verb run) and its relation to the alternations outlined in (Levin, 1993), English verb classes and alternations. This work is based on the assum...

Aspect-oriented programming (AOP) seeks to improve software modularity via the separation of cross-cutting concerns. AOP proponents often advocate a development strategy where programmers write the main application (base code), ignoring cross-cutting concerns, and then aspect programmers, domain experts in their specific concerns, weave in the logic for these more specialized cross-cutting conc...

This paper discusses how a two-level knowledge representation model for machine translation integrates aspectual information with lexical-semantic information by means of parameterization. The integration of aspect with lexical-semantics is especially critical in machine translation because of the lexical selection and aspectual realization processes that operate during the production of the ta...

the present paper aims to examine the role of frequency lexicon in assessing lexical proficiency of persian learners. addressing the frequency distribution pattern of persian words, the research which is conducted in corpus-based method studies the relationship between words and lexical proficiency as well as derives the frequency lexicon from persian corpus. to do so, formal and colloquial per...