scholarly journals Analysing lexical richness in French learner language: what frequency lists and teacher judgements can tell us about basic and advanced words

2008 ◽  
Vol 18 (3) ◽  
pp. 299-313 ◽  
Author(s):  
FRANÇOISE TIDBALL ◽  
JEANINE TREFFERS-DALLER

ABSTRACTIn this paper we study different aspects of lexical richness in narratives of British learners of French. In particular we focus on different ways of measuring lexical sophistication. We compare the power of three different operationalisations of the Advanced Guiraud (AG) (Daller, van Hout and Treffers-Daller, 2003): one based on teacher judgement, one on ‘le français fondamental 1er degré’ and one on frequency of lexical items. The results show that teacher judgement is a highly reliable tool for assessing lexical sophistication. The AG based on teacher judgements is better able to discriminate between the groups than the other operationalisations. It also works better than Vocabprofil (the French version of Laufer and Nation's (1995) Lexical Frequency Profile).

2020 ◽  
Author(s):  
B Laufer ◽  
Paul Nation

This article shows that if there is some control over genre then there will be a close correspondence between the vocabulary size of intermediate learners as reflected in their writing and a more direct measure of vocabulary size The study proposes a new measure of lexical richness, the Lexical Frequency Profile, which looks at the proportion of high frequency general service and academic words in learners' writing The study shows that it is possible to obtain a reliable measure of lexical richness which is stable across two pieces of writing by the same learners It also discriminates between learners of different proficiency levels For learners of English as a second language, the Lexical Frequency Profile is seen as being a measure of how vocabulary size is reflected in use In this study, it was found that the Lexical Frequency Profile correlates well with an independent measure of vocabulary size This reliable and valid measure of lexical richness in writing will be useful for determining the factors that affect judgements of quality in writing and will be useful for examining how vocabulary growth is related to vocabulary use. © 1995 Oxford University Press.


2020 ◽  
Author(s):  
B Laufer ◽  
Paul Nation

This article shows that if there is some control over genre then there will be a close correspondence between the vocabulary size of intermediate learners as reflected in their writing and a more direct measure of vocabulary size The study proposes a new measure of lexical richness, the Lexical Frequency Profile, which looks at the proportion of high frequency general service and academic words in learners' writing The study shows that it is possible to obtain a reliable measure of lexical richness which is stable across two pieces of writing by the same learners It also discriminates between learners of different proficiency levels For learners of English as a second language, the Lexical Frequency Profile is seen as being a measure of how vocabulary size is reflected in use In this study, it was found that the Lexical Frequency Profile correlates well with an independent measure of vocabulary size This reliable and valid measure of lexical richness in writing will be useful for determining the factors that affect judgements of quality in writing and will be useful for examining how vocabulary growth is related to vocabulary use. © 1995 Oxford University Press.


2004 ◽  
Vol 27 (1) ◽  
pp. 30-43 ◽  
Author(s):  
Martin East

Abstract Measures of lexical richness aim at quantifying the degree to which L2 writers are using a varied and large vocabulary. One method for calculating lexical richness is the Lexical Frequency Profile, or LFP (Laufer & Nation, 1995). The LFP, calculated by a computer programme, provides a detailed picture of vocabulary use measured against several frequency lists of words. This paper reports on a small-scale study to investigate the effectiveness of calculating the LFP of written texts of German. This study formed part of a larger study to investigate the impact of dictionaries on students’ writing. Six subjects completed two timed writing tasks in examination conditions, one with and one without a bilingual dictionary. It was envisaged that the LFP might be helpful in determining if the presence of the bilingual dictionary made a difference to students’ lexical sophistication. A calculation of the LFP was carried out using two context-specific lists. Figures were calculated for the number of word tokens and word families. It was concluded that, although using the computer programme with German texts presented some difficulties not present when using the software with English frequency lists, the LFP showed itself to be a valuable diagnostic tool that was able to differentiate between proficiency levels in German and to provide useful information about lexical richness in German texts.


Author(s):  
A. V. Crewe

We have become accustomed to differentiating between the scanning microscope and the conventional transmission microscope according to the resolving power which the two instruments offer. The conventional microscope is capable of a point resolution of a few angstroms and line resolutions of periodic objects of about 1Å. On the other hand, the scanning microscope, in its normal form, is not ordinarily capable of a point resolution better than 100Å. Upon examining reasons for the 100Å limitation, it becomes clear that this is based more on tradition than reason, and in particular, it is a condition imposed upon the microscope by adherence to thermal sources of electrons.


Author(s):  
Maxim B. Demchenko ◽  

The sphere of the unknown, supernatural and miraculous is one of the most popular subjects for everyday discussions in Ayodhya – the last of the provinces of the Mughal Empire, which entered the British Raj in 1859, and in the distant past – the space of many legendary and mythological events. Mostly they concern encounters with inhabitants of the “other world” – spirits, ghosts, jinns as well as miraculous healings following magic rituals or meetings with the so-called saints of different religions (Hindu sadhus, Sufi dervishes),with incomprehensible and frightening natural phenomena. According to the author’s observations ideas of the unknown in Avadh are codified and structured in Avadh better than in other parts of India. Local people can clearly define if they witness a bhut or a jinn and whether the disease is caused by some witchcraft or other reasons. Perhaps that is due to the presence in the holy town of a persistent tradition of katha, the public presentation of plots from the Ramayana epic in both the narrative and poetic as well as performative forms. But are the events and phenomena in question a miracle for the Avadhvasis, residents of Ayodhya and its environs, or are they so commonplace that they do not surprise or fascinate? That exactly is the subject of the essay, written on the basis of materials collected by the author in Ayodhya during the period of 2010 – 2019. The author would like to express his appreciation to Mr. Alok Sharma (Faizabad) for his advice and cooperation.


2018 ◽  
Vol 1 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Abdulmalik Usman ◽  
Dahiru Musa Abdullahi

The paper seeks to investigate the level of productive knowledge of ESL learners, the writing quality and the relationship between the vocabulary knowledge and the writing quality. 150 final year students of English language in a university in Nigeria were randomly selected as respondents. The respondents were asked to write an essay of 300 words within one hour. The essays were typed into Vocab Profiler of Cobb (2002) and analyzed the Lexical Frequency Profile of the respondents. The essays were also assessed by independent examiners using a standard rubric. The findings reveal that the level of productive vocabulary knowledge of the respondents is limited. The writing quality of the majority of the respondent is fair and there is a significant correlation between vocabulary and the witting quality of the subjects. The researchers posit that productive vocabulary is the predictor of writing quality and recommend various techniques through which teaching and learning of vocabulary can be improved.


HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 452c-452 ◽  
Author(s):  
Schuyler D. Seeley ◽  
Raymundo Rojas-Martinez ◽  
James Frisby

Mature peach trees in pots were treated with nighttime temperatures of –3, 6, 12, and 18 °C for 16 h and a daytime temperature of 20 °C for 8 h until the leaves abscised in the colder treatments. The trees were then chilled at 6 °C for 40 to 70 days. Trees were removed from chilling at 40, 50, 60, and 70 days and placed in a 20 °C greenhouse under increasing daylength, spring conditions. Anthesis was faster and shoot length increased with longer chilling treatments. Trees exposed to –3 °C pretreatment flowered and grew best with 40 days of chilling. However, they did not flower faster or grow better than the other treatments with longer chilling times. There was no difference in flowering or growth between the 6 and 12 °C pretreatments. The 18 °C pretreatment resulted in slower flowering and very little growth after 40 and 50 days of chilling, but growth was comparable to other treatments after 70 days of chilling.


2020 ◽  
Vol 27 (3) ◽  
pp. 178-186 ◽  
Author(s):  
Ganesan Pugalenthi ◽  
Varadharaju Nithya ◽  
Kuo-Chen Chou ◽  
Govindaraju Archunan

Background: N-Glycosylation is one of the most important post-translational mechanisms in eukaryotes. N-glycosylation predominantly occurs in N-X-[S/T] sequon where X is any amino acid other than proline. However, not all N-X-[S/T] sequons in proteins are glycosylated. Therefore, accurate prediction of N-glycosylation sites is essential to understand Nglycosylation mechanism. Objective: In this article, our motivation is to develop a computational method to predict Nglycosylation sites in eukaryotic protein sequences. Methods: In this article, we report a random forest method, Nglyc, to predict N-glycosylation site from protein sequence, using 315 sequence features. The method was trained using a dataset of 600 N-glycosylation sites and 600 non-glycosylation sites and tested on the dataset containing 295 Nglycosylation sites and 253 non-glycosylation sites. Nglyc prediction was compared with NetNGlyc, EnsembleGly and GPP methods. Further, the performance of Nglyc was evaluated using human and mouse N-glycosylation sites. Results: Nglyc method achieved an overall training accuracy of 0.8033 with all 315 features. Performance comparison with NetNGlyc, EnsembleGly and GPP methods shows that Nglyc performs better than the other methods with high sensitivity and specificity rate. Conclusion: Our method achieved an overall accuracy of 0.8248 with 0.8305 sensitivity and 0.8182 specificity. Comparison study shows that our method performs better than the other methods. Applicability and success of our method was further evaluated using human and mouse N-glycosylation sites. Nglyc method is freely available at https://github.com/bioinformaticsML/ Ngly.


2019 ◽  
Vol 15 (5) ◽  
pp. 472-485 ◽  
Author(s):  
Kuo-Chen Chou ◽  
Xiang Cheng ◽  
Xuan Xiao

<P>Background/Objective: Information of protein subcellular localization is crucially important for both basic research and drug development. With the explosive growth of protein sequences discovered in the post-genomic age, it is highly demanded to develop powerful bioinformatics tools for timely and effectively identifying their subcellular localization purely based on the sequence information alone. Recently, a predictor called “pLoc-mEuk” was developed for identifying the subcellular localization of eukaryotic proteins. Its performance is overwhelmingly better than that of the other predictors for the same purpose, particularly in dealing with multi-label systems where many proteins, called “multiplex proteins”, may simultaneously occur in two or more subcellular locations. Although it is indeed a very powerful predictor, more efforts are definitely needed to further improve it. This is because pLoc-mEuk was trained by an extremely skewed dataset where some subset was about 200 times the size of the other subsets. Accordingly, it cannot avoid the biased consequence caused by such an uneven training dataset. </P><P> Methods: To alleviate such bias, we have developed a new predictor called pLoc_bal-mEuk by quasi-balancing the training dataset. Cross-validation tests on exactly the same experimentconfirmed dataset have indicated that the proposed new predictor is remarkably superior to pLocmEuk, the existing state-of-the-art predictor in identifying the subcellular localization of eukaryotic proteins. It has not escaped our notice that the quasi-balancing treatment can also be used to deal with many other biological systems. </P><P> Results: To maximize the convenience for most experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_bal-mEuk/. </P><P> Conclusion: It is anticipated that the pLoc_bal-Euk predictor holds very high potential to become a useful high throughput tool in identifying the subcellular localization of eukaryotic proteins, particularly for finding multi-target drugs that is currently a very hot trend trend in drug development.</P>


Insects ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 204
Author(s):  
Igor Siedlecki ◽  
Michał Gorczak ◽  
Alicja Okrasińska ◽  
Marta Wrzosek

Studies on carton nesting ants and domatia−dwelling ants have shown that ant–fungi interactions may be much more common and widespread than previously thought. Until now, studies focused predominantly on parasitic and mutualistic fungi–ant interactions occurring mostly in the tropics, neglecting less−obvious interactions involving the fungi common in ants’ surroundings in temperate climates. In our study, we characterized the mycobiota of the surroundings of Formica polyctena ants by identifying nearly 600 fungal colonies that were isolated externally from the bodies of F. polyctena workers. The ants were collected from mounds found in northern and central Poland. Isolated fungi were assigned to 20 genera via molecular identification (ITS rDNA barcoding). Among these, Penicillium strains were the most frequent, belonging to eight different taxonomic sections. Other common and widespread members of Eurotiales, such as Aspergillus spp., were isolated very rarely. In our study, we managed to characterize the genera of fungi commonly present on F. polyctena workers. Our results suggest that Penicillium, Trichoderma, Mucor, Schwanniomyces and Entomortierella are commonly present in F. polyctena surroundings. Additionally, the high diversity and high frequency of Penicillium colonies isolated from ants in this study suggest that representatives of this genus may be adapted to survive in ant nests environment better than the other fungal groups, or that they are preferentially sustained by the insects in nests.


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