Text analysis involves the deconstruction of information within a text. This includes text structure, text pattern, linguistic features, lexical analysis, and syntactic analysis. This research took as its starting point the bottom-up approach of analysing the lexical features, syntactic features, and textual features of patent abstracts for comprehensive coverage of text analysis. Several tools...

This study aimed at examining the main and interaction effects of increased intentional reasoning demands, planning time, and also language learning aptitude on syntactic complexity, accuracy, lexical complexity, and fluency (CALF) of 226 EFL learners’ performance on letter writing tasks. The participants were first randomly assigned to three experimental groups to be given a task with differin...

This paper examines and compares some legilinguistic features in news/media reports Hebrew, Arabic Israel Egypt during the COVID-19 pandemic 2020 beginning of 2021. The goal was to find frequent innovated expressions communication media period. research question was, since there are linguistic differences between these language-varieties: would be found also on level? Hebrew were studied becaus...

This paper investigates a special type of recurrent expressions, lexical bundles, defined as a sequence of three or more words that co-occur frequently in a particular register (Biber et al., 1999). Considering the importance of this group of multi-word sequences in academic prose, this study explores the forms and syntactic structures of three- and four-word bundles in English abstracts writte...

this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

In this study acoustical as well as lexical/syntactic correlates of prominence are analyzed and discussed. Prominence is defined at the word level and is based on listener judgments. Spoken sentences from many different speakers, taken from the Dutch Polyphone corpus of telephone speech, are analyzed. A selection of useful acoustical input features is chosen for classification of word prominenc...

Automatic detection of word prominence can provide valuable information for downstream applications such as spoken language understanding. Prior work on automatic word prominence detection exploit a variety of lexical, syntactic, and prosodic features and model the task as a sequence labeling problem (independently or using context). While lexical and syntactic features are highly correlated wi...

We present a method to discriminate between texts written in either the Netherlandic or the Flemish variant of the Dutch language. The method draws on a feature bundle representing text statistics, syntactic features, and word n-grams. Text statistics include average word length and sentence length, while syntactic features include ratios of function words and partof-speech n-grams. The effecti...

This paper describes the systems deployed by the ALPAGE team to participate to the SemEval-2014 Task on Broad-Coverage Semantic Dependency Parsing. We developed two transition-based dependency parsers with extended sets of actions to handle non-planar acyclic graphs. For the open track, we worked over two orthogonal axes – lexical and syntactic – in order to provide our models with lexical and ...

As an alternative to syntactic matching on a program’s abstract syntax tree, we explore the use of lexical matching on a program’s source-code. Lexical techniques have been shown to be effective for the approximation of an abstract syntax tree, thus permitting tools that use regular expressions to effectively specify rewrite targets. In this paper, the features needed to support lexical rewriti...