Although there are many studies about the relationship between grammar and lexicon, there is a lack of studies examining the relationship between the growth of compound words and complex sentences. This study examined the relationship between compound words at the lexical level, and complex sentences, auxiliaries and modals, and coordinated subjects/objects at the grammatical level, for both brain-injured and typically developing children between the ages 4 and 6. For 10 typically developing children, 3091 utterances, and for 18 brain-injured children, 6460 utterances were examined. The results revealed that both groups showed a significant increase in the use of compound words and coordinated clauses. The growth of auxiliary and modal verbs is significant only for typically developing children and the growth of subordinate clauses is significant just for brain injured children. Moreover, there is an interaction between the growth of coordinate clauses and compound words just for brain injured children.

Although there are many studies about the relationship between grammar and lexicon, there is a lack of studies examining the relationship between the growth of compound words and complex sentences. This study examined the relationship between compound words at the lexical level, and complex sentences, auxiliaries and modals, and coordinated subjects/objects at the grammatical level, for both brain-injured and typically developing children between the ages 4 and 6. For 10 typically developing children, 3091 utterances, and for 18 brain-injured children, 6460 utterances were examined. The results revealed that both groups showed a significant increase in the use of compound words and coordinated clauses. The growth of auxiliary and modal verbs is significant only for typically developing children and the growth of subordinate clauses is significant just for brain injured children. Moreover, there is an interaction between the growth of coordinate clauses and compound words just for brain injured children.

abstract: Many neurological disorders, especially those that result in dementia, impact speech and language production. A number of studies have shown that there exist subtle changes in linguistic complexity in these individuals that precede disease onset. However, these studies are conducted on controlled speech samples from a specific task. This thesis explores the possibility of using natural language processing in order to detect declining linguistic complexity from more natural discourse. We use existing data from public figures suspected (or at risk) of suffering from cognitive-linguistic decline, downloaded from the Internet, to detect changes in linguistic complexity. In particular, we focus on two case studies. The first case study analyzes President Ronald Reagan’s transcribed spontaneous speech samples during his presidency. President Reagan was diagnosed with Alzheimer’s disease in 1994, however my results showed declining linguistic complexity during the span of the 8 years he was in office. President George Herbert Walker Bush, who has no known diagnosis of Alzheimer’s disease, shows no decline in the same measures. In the second case study, we analyze transcribed spontaneous speech samples from the news conferences of 10 current NFL players and 18 non-player personnel since 2007. The non-player personnel have never played professional football. Longitudinal analysis of linguistic complexity showed contrasting patterns in the two groups. The majority (6 of 10) of current players showed decline in at least one measure of linguistic complexity over time. In contrast, the majority (11 out of 18) of non-player personnel showed an increase in at least one linguistic complexity measure. / Dissertation/Thesis / Masters Thesis Computer Science 2016

The present study investigates the effect of genre on lexical and syntactic complexity. The corpus used for this study is made up of argumentative and narrative texts from the TRAWL (Tracking Written Learner Language) online corpus. The study analyses texts written by 22 Norwegian EFL learners, 10 in year 8 and 12 in year 9. One narrative text and one argumentative text from each student is analysed using an automated method to calculate complexity based on one measure of lexical complexity, the Guiraud Index and two measures of syntactic complexity, mean length of sentence and mean length of t-unit. A qualitative analysis, comparing outlying results to the Swedish National curriculum, also gave insight into different levels of complexity. Previous studies suggest that narrative texts have more lexical complexity while argumentative texts are more syntactically complex. The results of this study support this hypothesis though not all correlations were found to be statistically significant.

Complex Word Identification (CWI) is a task of identifying complex words in text data and it is often viewed as a subtask of Automatic Text Simplification (ATS) where the main task is making a complex text simpler. The ways in which a text should be simplified depend on the target readers such as second language learners or people with reading disabilities. In this thesis, we focus on Complex Word Identification for Swedish. First, in addition to exploring existing resources, we collect a new dataset for Swedish CWI. We continue by building several classifiers of Swedish simple and complex words. We then use the findings to analyze the characteristics of lexical complexity in Swedish and English. Our method for collecting training data based on second language learning material has shown positive evaluation scores and resulted in a new dataset for Swedish CWI. Additionally, the built complex word classifiers have an accuracy at least as good as similar systems for English. Finally, the analysis of the selected features confirms the findings of previous studies and reveals some interesting characteristics of lexical complexity.

and Key Words The linguistic concept of complexity as a component of the CAF triad is used to describe the complexity of texts, either spoken (transcribed) or written, and to describe speaker advancedness not only in L1, but also in L2 research. On the most basic level, lexical complexity and syntactic complexity can be distinguished, however, complexity is a multidimensional concept and many different descriptions and operationalisations exist; there is an even wider gap in terms of measuring lexical complexity of L2 oral speech with lexical frequency wordlists as studies on lexical sophistication have yielded inconsistent and sometimes inconclusive results; the majority of studies on lexical sophistication, one of the subdivisions of lexical complexity, have been carried out on written learner production. For this reason, this thesis focuses on measuring lexical complexity in L2 speech with word frequency lists; more specifically, it presumes that C1 speakers would produce more of complex vocabulary (low-frequency vocabulary) than B2 speakers in our sample; this thesis also attempts to correlate word frequency list results with English Vocabulary Profile results and compare the individual speakers. For this analysis 10 B2 and 10 C1 Czech speakers of English were selected from the LINDSEI spoken...

The thesis analyses lexical complexity in the written production of L2 proficient learners of English (the highest C2 level). Additionally, it compares L2 lexical complexity with L1 lexical complexity of English native speakers. This lexical complexity is investigated in two key parameters: lexical diversity and lexical sophistication. A quantitative analysis is made by the means of single indicators and is followed by an analysis where composite indicators VOCD-D and MTLD are employed to measure lexical diversity. Lexical sophistication is explored through the English Vocabulary Profile tool (EVP), which categorises words in a text according to predefined frequency word lists (A1-C2 types). The main hypothesis presumed that the lexical complexity of L2 English speakers is inferior to L1 English speakers, despite the fact that their L2 English language competence is at the highest level possible (C2 level), often compared to "native-speaker competence". It was expected that the results in respective groups (L2 and L1 speakers) would be similar. Another working hypothesis is that low- frequency words at the C2 level will be smaller for L2 English speakers than that for L1 English speakers. The data comprises 20 comparable texts of L2 proficient English speakers in the dimension of their length (the...