scholarly journals The polysemy of the words that children learn over time

2018 ◽  
Vol 19 (3) ◽  
pp. 389-426 ◽  
Author(s):  
Bernardino Casas ◽  
Neus Català ◽  
Ramon Ferrer-i-Cancho ◽  
Antoni Hernández-Fernández ◽  
Jaume Baixeries

Abstract Here we study polysemy as a potential learning bias in vocabulary learning in children. Words of low polysemy could be preferred as they reduce the disambiguation effort for the listener. However, such preference could be a side-effect of another bias: the preference of children for nouns in combination with the lower polysemy of nouns with respect to other part-of-speech categories. Our results show that mean polysemy in children increases over time in two phases, i.e. a fast growth till the 31st month followed by a slower tendency towards adult speech. In contrast, this evolution is not found in adults interacting with children. This suggests that children have a preference for non-polysemous words in their early stages of vocabulary acquisition. Interestingly, the evolutionary pattern described above weakens when controlling for syntactic category (noun, verb, adjective or adverb) but it does not disappear completely, suggesting that it could result from a combination of a standalone bias for low polysemy and a preference for nouns.

2007 ◽  
Vol 153 ◽  
pp. 1-24 ◽  
Author(s):  
Raquel Esquiliche Mesa ◽  
Anthony Bruton ◽  
Tony Ridgway

AbstractThere is growing evidence that incidental vocabulary learning from extensive reading may not be a very efficient or effective means of acquiring L2 vocabulary, at least in the short-term. This study investigates the effect on FL vocabulary learning of secondary school EFL students completing four task-based reading texts under two procedurally contrasted conditions: either with teacher support or with peer collaborative support. The students, in two genuine classes, read two short texts in each condition as normal timetabled activities, partly for ethical and partly for technical reasons. This is one of a few studies that have researched FL vocabulary acquisition from a number of different texts over time, and within a task-based framework. Four texts in English with both nonlinguistic and linguistic check tasks were read in total, and thirty-two vocabulary items were targeted. On the delayed L2-L1 translation recognition posttest of the targeted vocabulary items, the scores for the teacher-supported conditions were double those for the peer-supported conditions, but in both cases the scores were disappointingly low.


2018 ◽  
Vol 96 (2) ◽  
pp. 406-427 ◽  
Author(s):  
Cong Li ◽  
Jiangmeng Liu ◽  
Cheng Hong

Personalized advertising is widely believed to be an effective persuasion strategy. A typical personalized advertising process consists of two phases: The message sender first “learns” the message receiver’s preferences, and then “matches” the message to that person according to his or her preferences. The present study argues that this process may be problematic because it assumes that an individual’s preferences are always stable (i.e., preferences remain the same over time) and extreme (i.e., preferences are highly polarized). Through a 2 (message type: personalized vs. nonpersonalized) × 2 (preference stability: high vs. low) × 2 (preference extremity: high vs. low) between-participants experiment ( N = 227), it is shown that the effectiveness of personalized advertising is moderated by preference stability and extremity. A new conceptualization of personalization is proposed based on the study results, and how the two phases of personalized advertising may be refined is highlighted.


Author(s):  
Necva Bölücü ◽  
Burcu Can

Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby extract the meaning of the sentence (e.g., semantic parsing). Various methods have been proposed for learning PoS tags in an unsupervised setting without using any annotated corpora. One of the widely used methods for the tagging problem is log-linear models. Initialization of the parameters in a log-linear model is very crucial for the inference. Different initialization techniques have been used so far. In this work, we present a log-linear model for PoS tagging that uses another fully unsupervised Bayesian model to initialize the parameters of the model in a cascaded framework. Therefore, we transfer some knowledge between two different unsupervised models to leverage the PoS tagging results, where a log-linear model benefits from a Bayesian model’s expertise. We present results for Turkish as a morphologically rich language and for English as a comparably morphologically poor language in a fully unsupervised framework. The results show that our framework outperforms other unsupervised models proposed for PoS tagging.


Author(s):  
Yasuyuki Yamaoka ◽  
Hiroko Oe

In Japan, the policy for polymerase chain reaction (hereafter PCR) testing changed significantly after 7 May 2020; from 4 February to 6 May, PCR testing was limited to certain patients with severe symptoms. After 7 May, the PCR test was made available to a broader range of patients due to health insurance coverage. The study aims to test whether there is a significant relationship between the conditions under which PCR tests are performed, the number of tests after 7 May, and the positive results. Using a multiple regression model, we obtained the unexpected result even if we assume that PCR testing had been carried out during 4 February to 6 May at the same level as after 7 May. The number of positive cases would have been even lower than the actual number, which we have attained. This suggests that even if PCR testing had been plentiful throughout the entire period, the number of positives that would have been captured would not necessarily have been more significant than the actual number. This estimation might suggest that the infectivity of COVID-19 varied over time. It may suggest that, over time, the infectiousness and spreading power of COVID may be transformed. Therefore, further research investigating the epidemic impact of COVID is required, which is critical for humankind.


2016 ◽  
Vol 7 (4) ◽  
Author(s):  
Hafiz Ridha Pramudita ◽  
Ema Utami ◽  
Armadyah Amborowati

Abstract. Javanese language is one of the local languages in Indonesia, which is used by most of the population of Indonesia. The language has complex grammar to embrace the values of decency that is determined by the use of words containing courtesy known as Raos Alus. Every word in the Javanese belongs to a certain part of speech like what happens to other languages. Part of Speech (POS) tagging is a process to set syntactic category in a word such as nouns, verbs, or adjectives to every word in the document or text. This study examined the POS Tagging with Maximum Entropy and Rule Based for Javanese Krama—Higher Javanese--by using the Open NLP library to measure the maximum entropy. The results obtained are Maximum Entropy and Rule Based can be used for POS Tagging on Javanese Krama with the highest accuracy of 97.67%.Keywords: POS Tagging, NLP, Maximum Entropy, Rule Based, Javanese Krama LanguageAbstrak. Bahasa Jawa merupakan salah satu bahasa daerah di Indonesia yang dipakai oleh sebagian besar penduduk Indonesia. Bahasa Jawa memiliki tata bahasa yang kompleks karena menganut nilai-nilai kesopanan yang ditentukan berdasarkan penggunaan dengan kata-kata yang mengandung raos alus (rasa sopan). Setiap kata dalam Bahasa Jawa memiliki jenis kata atau part of speech tertentu seperti halnya dengan bahasa-bahasa lain. POS tagging merupakah bagian penting dari cakupan bidang ilmu Natural Languange Processing (NLP). Penelitian ini menguji POS Tagging dengan Berbasis Aturan dan distribusi probabilitas Maximum Entropy pada Bahasa Jawa Krama menggunakan library OpenNLP untuk mengukur maximum entropy. Hasil yang diperoleh adalah Maximum Entropy dan Rule Based dapat digunakan untuk POSTagging pada Bahasa Jawa Krama dengan akurasi tertinggi 97,67%.Kata Kunci: POS Tagging, NLP, Maximum Entropy, Rule Based, Bahasa Jawa Krama


Author(s):  
Dongshuo Wang ◽  
Bin Zou ◽  
Minjie Xing

Language learners at all levels need a way of recording and organising newly learned vocabulary for consolidation and for future reference. Listing words alphabetically in a vocabulary notebook has been a traditional way of organising this information. However, paper-based notes are limited in terms of space (learners often run out of space for certain categories; for others the space might be unused) and time (handwritten pages deteriorate over time and cannot easily be updated). Organizing vocabulary in more meaningful categories might make it easier to learn. Textbooks, for example, often introduce new vocabulary thematically. Words can also be organised according to their grammatical class or characteristics, their real world category (e.g. modes of transport, means of communication), their phonological pattern, their etymological elements, or according to when/where they were learnt. This research experiments how the mobile learning of a lexical spreadsheet can be used for the consolidation of and reference to new vocabulary. Offering the learner multiple ways of organising vocabulary at the same time – combining all of the approaches mentioned above, the resource can easily be modified and updated. Importantly, in keeping with autonomous learning theory, the spreadsheet is designed to encourage learners to take more responsibility for their own vocabulary learning and to approach this process more systematically. The resource can be used from any mobile smart phone, tablet or i-Pad.


2019 ◽  
Vol 44 (2) ◽  
pp. 521-541 ◽  
Author(s):  
Ahreum Lee ◽  
Hokyoung Ryu

Purpose The purpose of this paper is to explore how people differently create meaning from photos taken by either a lifelogging camera (LC) (i.e. automatic capture) or a mobile phone camera (MC) (i.e. manual capture). Moreover, the paper investigates the different changes in the interpretative stance of lifelog photos and manually captured photos over time to figure out how the LC application could support the users’ iconological interpretation of their past. Design/methodology/approach A 200-day longitudinal study was conducted with two different user groups that took and reviewed photos taken by either a LC or a MC. The study was structured in two phases: a photo collection phase, which lasted for five days (Day 1‒Day 5), and a three-part semi-structured interview phase, which was conducted on Days 8, 50 and 200. Findings Results revealed that the interpretative stance of the LC group changed greatly compared to the MC group that kept a relatively consistent interpretative stance over time. A significant difference between the two groups was revealed on Day 200 when the lifelog photos provoked a more iconological and less pre-iconographical interpretative stance. This stance allowed the viewers of lifelog photos to systemically interpret the photos and look back upon their past with different viewpoints that were not recognized before. Originality/value This paper contributes to further understand the dynamic change in interpretative stance of lifelog photos compared to manually captured photos through a longitudinal study. The results of this study can support the design guidelines for a LC application that could give opportunities for users to create rich interpretations from lifelog photos.


1997 ◽  
Vol 273 (5) ◽  
pp. R1786-R1792 ◽  
Author(s):  
Joel M. Kaplan ◽  
William H. Siemers ◽  
Ulrika Smedh ◽  
Gary J. Schwartz ◽  
Harvey J. Grill

The effect of gastric branch vagotomy (GVX) on the gastric emptying of glucose was evaluated during two phases of emptying control: as the stomach fills and in the postload period. GVX and control rats received a series of intragastric glucose infusions (1.0 ml/min) through indwelling gastric fistulas. In experiment 1, gastric samples were withdrawn either immediately after the offset of 9- or 18-min infusions of 12.5% glucose or at various times up to 36 min postinfusion. In experiment 2, samples were withdrawn either immediately or 30 min after termination of 12-min infusions of 12.5 or 25% glucose. After gastric fill, glucose solute emptying rate was stable over time, not influenced by concentration doubling, and, surprisingly, not affected by GVX. During gastric fill, solute emptying rate doubled with concentration in both GVX and control rats. For each concentration, however, glucose emptied during fill at almost twice the rate in GVX compared with control rats. This accelerated emptying of glucose during fill in GVX rats is consistent with a gastric vagal contribution to inhibitory mechanisms (e.g., receptive relaxation) that operate as the stomach fills under normal conditions. The absence of a GVX effect on emptying after fill suggests either that gastric branch vagal efferents play little role in feedback inhibitory control of glucose emptying under normal conditions or that other systems compensate for the function previously served by vagal gastric branch efferents. Further work is required to address the possible role of the gastric vagus in feedback control of gastric emptying when nutritive fluids other than glucose are delivered.


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