A Generative Answer Aggregation Model for Sentence-level Crowdsourcing Task

2022 ◽  
pp. 1-1
Author(s):  
Shaofei Wang ◽  
Depeng Dang
Keyword(s):  
Aggregation Model ◽  
Sentence Level

Exploring the Potential Impact of Sentence-Level Comprehension and Sentence-Level Fluency on Deaf Students' Passage Comprehension

2020 ◽  
Vol 63 (7) ◽  
pp. 2281-2292
Author(s):  
Ying Zhao ◽  
Xinchun Wu ◽  
Hongjun Chen ◽  
Peng Sun ◽  
Ruibo Xie ◽  
...  
Keyword(s):  
Independent Predictor ◽  
Vocabulary Knowledge ◽  
Group Differences ◽  
Regression Analyses ◽  
Deaf Students ◽  
Mediating Role ◽  
Sentence Level ◽  
Mediating Mechanisms ◽  
Potential Impact ◽  
The Relationship

Purpose This exploratory study aimed to investigate the potential impact of sentence-level comprehension and sentence-level fluency on passage comprehension of deaf students in elementary school. Method A total of 159 deaf students, 65 students ( M age = 13.46 years) in Grades 3 and 4 and 94 students ( M age = 14.95 years) in Grades 5 and 6, were assessed for nonverbal intelligence, vocabulary knowledge, sentence-level comprehension, sentence-level fluency, and passage comprehension. Group differences were examined using t tests, whereas the predictive and mediating mechanisms were examined using regression modeling. Results The regression analyses showed that the effect of sentence-level comprehension on passage comprehension was not significant, whereas sentence-level fluency was an independent predictor in Grades 3–4. Sentence-level comprehension and fluency contributed significant variance to passage comprehension in Grades 5–6. Sentence-level fluency fully mediated the influence of sentence-level comprehension on passage comprehension in Grades 3–4, playing a partial mediating role in Grades 5–6. Conclusions The relative contributions of sentence-level comprehension and fluency to deaf students' passage comprehension varied, and sentence-level fluency mediated the relationship between sentence-level comprehension and passage comprehension.

“To Corrupt a Man in the Midst of a Verse”: Ben Jonson and the Prose of the World

2017 ◽  
Vol 24 (1) ◽  
pp. 46-72
Author(s):  
Jacob Tootalian
Keyword(s):  
Mixed Mode ◽  
Ben Jonson ◽  
Digital Analysis ◽  
Interactive Engagement ◽  
Sentence Level ◽  
Linguistic Patterns ◽  
The World ◽  
Selection Of ◽  
Bartholomew Fair

Ben Jonson's early plays show a marked interest in prose as a counterpoint to the blank verse norm of the Renaissance stage. This essay presents a digital analysis of Jonson's early mixed-mode plays and his two later full-prose comedies. It examines this selection of the Jonsonian corpus using DocuScope, a piece of software that catalogs sentence-level features of texts according to a series of rhetorical categories, highlighting the distinctive linguistic patterns associated with Jonson's verse and prose. Verse tends to employ abstract, morally and emotionally charged language, while prose is more often characterized by expressions that are socially explicit, interrogative, and interactive. In the satirical economy of these plays, Jonson's characters usually adopt verse when they articulate censorious judgements, descending into prose when they wade into the intractable banter of the vicious world. Surprisingly, the prosaic signature that Jonson fashioned in his earlier drama persisted in the two later full-prose comedies. The essay presents readings of Every Man Out of his Humour and Bartholomew Fair, illustrating how the tension between verse and prose that motivated the satirical dynamics of the mixed-mode plays was released in the full-prose comedies. Jonson's final experiments with theatrical prose dramatize the exhaustion of the satirical impulse by submerging his characters almost entirely in the prosaic world of interactive engagement.

Vernon Lee’s Novel Construction

2020 ◽  
Vol 75 (3) ◽  
pp. 346-371
Author(s):  
Irena Yamboliev
Keyword(s):  
Nineteenth Century ◽  
Literary Practice ◽  
Prose Style ◽  
Sentence Level

Irena Yamboliev, “Vernon Lee’s Novel Construction” (pp. 346–371) This essay proposes that we understand Vernon Lee’s debut novel, Miss Brown (1884), as enacting a theory of literary language’s constructive potency that Lee develops in her critical essays. Those critical essays offer a vibrant nineteenth-century formalism, suggesting how fiction constructs and formalizes our realities, shaping readers’ mental and emotional circuits as it arranges phrases, sentences, and paragraphs. In Miss Brown, Lee crafts a prose style that meticulously tracks the protagonist’s formation—the “little dramas of expectation, fulfilment and disappointment,…of tensions and relaxations”—rendering that formation as a drama of sentence-level structuration. The resulting “representation” of Anne Brown is interrupted with adjective-rich stretches conspicuously geared toward defining, formulating, and theorizing what is being represented, essay-like. By treating the protagonist as an occasion to foreground syntax’s active building and abstracting, Miss Brown’s prose partakes in the kind of literary practice that has recently been described as nonmimetic realism—realism that does more than denote and refer and reflect what is, and instead performs, meditating on form’s process, to project and inform new potentialities.

Sentence Level Alignment of Digitized Books Parallel Corpora

Informatica ◽  
2018 ◽  
Vol 29 (4) ◽  
pp. 693-710
Author(s):  
Algirdas Laukaitis ◽  
Darius Plikynas ◽  
Egidijus Ostasius
Keyword(s):  
Parallel Corpora ◽  
Sentence Level

The effects of motivation on processing instruction in the acquisition of Modern Standard Arabic gender agreement

2018 ◽  
Vol 2 (1) ◽  
pp. 61-82
Author(s):  
Ayah Farhat ◽  
Alessandro Benati
Keyword(s):  
Academic Motivation ◽  
Processing Instruction ◽  
Gender Agreement ◽  
Modern Standard Arabic ◽  
Language Background ◽  
Standard Arabic ◽  
Positive Effects ◽  
Sentence Level ◽  
Post Test ◽  
Modern Standard

The present study investigates the effects of motivation and processing instruction on the acquisition of Modern Standard Arabic gender agreement. The role of individual differences (e.g. age, gender, aptitude, language background and working memory) on the positive effects generated by processing instruction has been investigated in the last few years. However, no previous research has been conducted to measure the possible effects of motivation on L2 learners exposed to processing instruction. In addition, a reasonable question to be addressed within the processing instruction research framework is whether its positive effects can be generalised to the acquisition of Modern Standard Arabic. The Academic Motivation Scale (AMS) and the Attitude Motivation Test Battery (AMTB) motivation questionnaires were used to capture different variables that influence motivation in order to create the two different groups (high and low motivated). In this experimental study, forty-one native English school-age learners (aged 8–11) were assigned to two groups: ‘the high motivated group’ (n = 29): and the ‘low motivated group’ (n = 12). Both groups received processing instruction, which lasted for three hours. Sentence-level interpretation and production tasks were used in a pre-test and post-test design to measure instructional effects. The learners were required to fill in gaps in both written and spoken mode for the activities. The study also included a delayed post-test administered to the two groups four weeks later. The results indicated that both groups improved equally from pre-test to post-test in all assessment measures and they both retained the positive effects of the training in the delayed posttests. Processing instruction was proved to be the main factor for the improvement in performance regardless of the learner’s level of motivation.

An Analysis of Lexical Chunks in Online Business Letters (OBL) and Business Letter Corpus (BLC): A Corpus-Based Study

2020 ◽  
Vol 4 (2) ◽  
pp. 63
Author(s):  
Hairul Azhar Mohamad ◽  
Muhammad Luthfi Mohaini ◽  
Pavithran Ravinthra Nath
Keyword(s):  
Comparative Analysis ◽  
Sampling Method ◽  
Future Research ◽  
Frequent Type ◽  
Sentence Level ◽  
Lexical Collocations ◽  
Online Business ◽  
Lexical Density ◽  
Concordance Program ◽  
Corporate Business

This research investigated into the lexical density and frequencies of five types of lexical chunks located in 300 online business letters. Top 10 websites on business correspondence had been identified in terms of traffic visitors and bounce rate under one million web rankings worldwide. Criterion Sampling method was identified prior to extracting the sample letters from the websites. The data was then run with Antconc Concordance Program (ACP) for lexical density and frequency analysis. Top 15 lexical chunks in online business letters (OBL) were compared against those top 15 in Business Letter Corpus (BLC). Findings revealed that there was a total of 39 916-word tokens and 939 counts of lexical chunks found in this corpus. It was found that more lexical words do not imply more lexical chunks used in based on types of business letters.  All 5 types of lexical chunks were identified and ranked in descending order; Sentence Builders (SB) as the most frequent type, followed by Collocations (COL), Deictic locutions (DLs), Polywords (POLs) and Institutionalized Expressions (IUs) as the least frequent type of lexical chunk. Sub-divisional analysis indicated that Grammatical Collocations (GCs) were more common than Lexical Collocations (LCs). Majority of lexical chunks were formed more at sentence level than phrasal level. Comparative analysis between top 15 lexical chunks in OBL and BLC discovered that most top lexical chunks in online business letters are representative of those corporate business letters in BLC. Pedagogical implications in terms of the reliability of online business letters for academic reference and future research considerations are also addressed.

scholarly journals Efficient End-to-End Sentence-Level Lipreading with Temporal Convolutional Networks

2021 ◽  
Vol 11 (15) ◽  
pp. 6975
Author(s):  
Tao Zhang ◽  
Lun He ◽  
Xudong Li ◽  
Guoqing Feng
Keyword(s):  
Performance Improvement ◽  
State Of The Art ◽  
Error Rates ◽  
Convolutional Network ◽  
Convolutional Networks ◽  
Sentence Level ◽  
End To End ◽  
High Level ◽  
Improved Accuracy ◽  
Talking Face

Lipreading aims to recognize sentences being spoken by a talking face. In recent years, the lipreading method has achieved a high level of accuracy on large datasets and made breakthrough progress. However, lipreading is still far from being solved, and existing methods tend to have high error rates on the wild data and have the defects of disappearing training gradient and slow convergence. To overcome these problems, we proposed an efficient end-to-end sentence-level lipreading model, using an encoder based on a 3D convolutional network, ResNet50, Temporal Convolutional Network (TCN), and a CTC objective function as the decoder. More importantly, the proposed architecture incorporates TCN as a feature learner to decode feature. It can partly eliminate the defects of RNN (LSTM, GRU) gradient disappearance and insufficient performance, and this yields notable performance improvement as well as faster convergence. Experiments show that the training and convergence speed are 50% faster than the state-of-the-art method, and improved accuracy by 2.4% on the GRID dataset.

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