scholarly journals Students’ Self Revision in Essay Writing

2017 ◽  
Vol 3 (2) ◽  
pp. 39-44
Author(s):  
Mohammad Febryanto
Keyword(s):  
The Self ◽  
Word Form ◽  
Essay Writing ◽  
Word Level ◽  
Sentence Level

This study investigates self-revision in essay writing conducted by 6 students. The analysis is based ondetermining common revised errors. The data have been reduced based on Language Related Episodes (LREs). The result shows that there are revision consisting of 1 change in punctuation both in first and second essay, 5 changes spelling in first essay, 19 changes vocabulary in the first essay and 6 changes in second essay, 25 changes in word form correction in the first essay and 27 changes in the second essay, and there are 19 changes in sentence level the first essay and 13 changes in the second one. This indicates that the self-revision is predominantly focused onthe word level changes particularly in morphology. Keywords: self-revision, common revised errors, Language Related Episodes (LREs)

scholarly journals Text Sentiment Analysis of German Multilevel Features Based on Self-Attention Mechanism

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiang Li
Keyword(s):  
Feature Extraction ◽  
Deep Learning ◽  
Feature Representation ◽  
The Self ◽  
Word Level ◽  
Sentence Level ◽  
Improvement Effect ◽  
Representation Method ◽  
Text Sentiment Analysis ◽  
Deep Learning Model

In this paper, we propose a multilevel feature representation method that combines word-level features, such as German morphology and slang, and sentence-level features, such as special symbols and English-translated sentiment information, and build a deep learning model for German sentiment classification based on the self-attentive mechanism, in order to address the characteristics of German social media texts that are colloquial, irregular, and diverse. Compared with the existing studies, this model not only has the most obvious improvement effect but also has better feature extraction and classification ability for German emotion.

Deaf and Hard-of-hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos

2021 ◽  
Vol 14 (4) ◽  
pp. 1-24
Author(s):  
Sushant Kafle ◽  
Becca Dingman ◽  
Matt Huenerfauth
Keyword(s):  
Experimental Study ◽  
Key Words ◽  
Hard Of Hearing ◽  
Experimental Studies ◽  
Design Parameters ◽  
Educational Video ◽  
Word Level ◽  
Sentence Level ◽  
First Occurrence ◽  
Educational Videos

There are style guidelines for authors who highlight important words in static text, e.g., bolded words in student textbooks, yet little research has investigated highlighting in dynamic texts, e.g., captions during educational videos for Deaf or Hard of Hearing (DHH) users. In our experimental study, DHH participants subjectively compared design parameters for caption highlighting, including: decoration (underlining vs. italicizing vs. boldfacing), granularity (sentence level vs. word level), and whether to highlight only the first occurrence of a repeating keyword. In partial contrast to recommendations in prior research, which had not been based on experimental studies with DHH users, we found that DHH participants preferred boldface, word-level highlighting in captions. Our empirical results provide guidance for the design of keyword highlighting during captioned videos for DHH users, especially in educational video genres.

scholarly journals Ipsative Assessment of Essay Writing to Foster Reflection and Self-Awareness of Progress

2019 ◽  
pp. 157-180
Author(s):  
Diana Jazmin Univio ◽  
Andrea del Pilar Pérez
Keyword(s):  
Lifelong Learning ◽  
The Self ◽  
Self Management ◽  
Self Awareness ◽  
Generic Skills ◽  
Essay Writing ◽  
Whole Process ◽  
Writing Skill ◽  
Assessment Approach ◽  
Alternative Type

Ipsative assessment to improve argumentative essay writing aimed at studying how an alternative type of assessment, which persuaded learners to reflect on the feedback received and involved them as active assessment participants, influenced the writing skill of 24 students from two Colombian universities. The queries addressed throughout the chapter were analyzing the way students structured their essays by means of the Ipsative feedback and the influence of the assessment approach on students at the self-management levels. Findings revealed that through Ipsative assessment students enhanced their argumentative essay writing as they grasped the structural and reflective nature of this skill. Furthermore, the comparison of various drafts allowed learners to reflect on their improvements at the same time they raised self-awareness of progress and the whole process took students to the realization that they were developing generic skills useful for academic discourse. This chapter was also concerned with the effects of Ipsative assessment on self-directedness and lifelong learning.

scholarly journals Understanding Syntactic and Semantic Errors in the Composition Writing of Jordanian EFL Learners

2017 ◽  
Vol 6 (6) ◽  
pp. 158
Author(s):  
Yazan Shaker Almahameed ◽  
May Al-Shaikhli
Keyword(s):  
Foreign Language ◽  
Language Learners ◽  
Semantic Knowledge ◽  
Resumptive Pronouns ◽  
Foreign Language Learners ◽  
Word Level ◽  
Sentence Level ◽  
Native Speakers Of English ◽  
Semantic Errors ◽  
Verb Tense

The current study aimed at investigating the salient syntactic and semantic errors made by Jordanian English foreign language learners as writing in English. Writing poses a great challenge for both native and non-native speakers of English, since writing involves employing most language sub-systems such as grammar, vocabulary, spelling and punctuation. A total of 30 Jordanian English foreign language learners participated in the study. The participants were instructed to write a composition of no more than one hundred and fifty words on a selected topic. Essays were collected and analyzed statistically to obtain the needed results. The results of the study displayed that syntactic errors produced by the participants were varied, in that eleven types of syntactic errors were committed as follows; verb-tense, agreement, auxiliary, conjunctions, word order, resumptive pronouns, null-subject, double-subject, superlative, comparative and possessive pronouns. Amongst syntactic errors, verb tense errors were the most frequent with 33%. The results additionally revealed that two types of semantic errors were made; errors at sentence level and errors at word level. Errors at word level outstripped by far errors at sentence level, scoring respectively 82% and 18%. It can be concluded that the syntactic and semantic knowledge of Jordanian learners of English is still insufficient.

scholarly journals Product reputation mining: bring informative review summaries to producers and consumers

2019 ◽  
Vol 16 (2) ◽  
pp. 359-380
Author(s):  
Zhehua Piao ◽  
Sang-Min Park ◽  
Byung-Won On ◽  
Gyu Choi ◽  
Myong-Soon Park
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Word Level ◽  
Sentence Level ◽  
Survey Results ◽  
Statistical Studies ◽  
Sentiment Orientation ◽  
Level Method ◽  
Points Of View ◽  
Graph Based Model

Product reputation mining systems can help customers make their buying decision about a product of interest. In addition, it will be helpful to investigate the preferences of recently released products made by enterprises. Unlike the conventional manual survey, it will give us quick survey results on a low cost budget. In this article, we propose a novel product reputation mining approach based on three dimensional points of view that are word, sentence, and aspect?levels. Given a target product, the aspect?level method assigns the sentences of a review document to the desired aspects. The sentence?level method is a graph-based model for quantifying the importance of sentences. The word?level method computes both importance and sentiment orientation of words. Aggregating these scores, the proposed approach measures the reputation tendency and preferred intensity and selects top-k informative review documents about the product. To validate the proposed method, we experimented with review documents relevant with K5 in Kia motors. Our experimental results show that our method is more helpful than the existing lexicon?based approach in the empirical and statistical studies.

The synergy of double attention: Combine sentence-level and word-level attention for image captioning

2020 ◽  
Vol 201 ◽  
pp. 103068
Author(s):  
Haiyang Wei ◽  
Zhixin Li ◽  
Canlong Zhang ◽  
Huifang Ma
Keyword(s):  
Image Captioning ◽  
Word Level ◽  
Sentence Level

scholarly journals Pushing the Limits of Translation Quality Estimation

2017 ◽  
Vol 5 ◽  
pp. 205-218 ◽  
Author(s):  
André F. T. Martins ◽  
Marcin Junczys-Dowmunt ◽  
Fabio N. Kepler ◽  
Ramón Astudillo ◽  
Chris Hokamp ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Neural Model ◽  
Quality Estimation ◽  
Translation Quality ◽  
Word Level ◽  
Current State ◽  
Sentence Level ◽  
Feature Based ◽  
Human Effort ◽  
Estimation System

Translation quality estimation is a task of growing importance in NLP, due to its potential to reduce post-editing human effort in disruptive ways. However, this potential is currently limited by the relatively low accuracy of existing systems. In this paper, we achieve remarkable improvements by exploiting synergies between the related tasks of word-level quality estimation and automatic post-editing. First, we stack a new, carefully engineered, neural model into a rich feature-based word-level quality estimation system. Then, we use the output of an automatic post-editing system as an extra feature, obtaining striking results on WMT16: a word-level FMULT1 score of 57.47% (an absolute gain of +7.95% over the current state of the art), and a Pearson correlation score of 65.56% for sentence-level HTER prediction (an absolute gain of +13.36%).

scholarly journals Textual Adversarial Attacking with Limited Queries

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2671
Author(s):  
Yu Zhang ◽  
Junan Yang ◽  
Xiaoshuai Li ◽  
Hui Liu ◽  
Kun Shao
Keyword(s):  
Language Processing ◽  
Main Idea ◽  
Local Model ◽  
Small Perturbations ◽  
Target Model ◽  
Word Level ◽  
Sentence Level ◽  
Adversarial Examples ◽  
Reducing Costs ◽  
The Cost

Recent studies have shown that natural language processing (NLP) models are vulnerable to adversarial examples, which are maliciously designed by adding small perturbations to benign inputs that are imperceptible to the human eye, leading to false predictions by the target model. Compared to character- and sentence-level textual adversarial attacks, word-level attack can generate higher-quality adversarial examples, especially in a black-box setting. However, existing attack methods usually require a huge number of queries to successfully deceive the target model, which is costly in a real adversarial scenario. Hence, finding appropriate models is difficult. Therefore, we propose a novel attack method, the main idea of which is to fully utilize the adversarial examples generated by the local model and transfer part of the attack to the local model to complete ahead of time, thereby reducing costs related to attacking the target model. Extensive experiments conducted on three public benchmarks show that our attack method can not only improve the success rate but also reduce the cost, while outperforming the baselines by a significant margin.

scholarly journals Preservation of Javanese Language on Ganjar Pranowo's Conversation in Pandemic of COVID-19

Humaniora ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 7-12
Author(s):  
Umi Farichah ◽  
Ani Rakhmawati ◽  
Nugraheni Eko Wardani
Keyword(s):  
Role Models ◽  
Primary Data ◽  
Social Sphere ◽  
Central Java ◽  
Video Recordings ◽  
Word Level ◽  
The People ◽  
Sentence Level ◽  
The Social ◽  
Data Source

The research aimed to see a relevance of the preservation of the Javanese language in Javanese conversations that Ganjar Pranowo carried out during the COVID-19 pandemic. The resulting data was about the level in the language that included word level, phrase level, and sentence level. Also, several manners, unggah ungguh, and ethics were produced that could become examples or role models for the people of Central Java. The research applied a qualitative method. The data source was the utterances contained in the uploads of Ganjar Pranowo in the form of video recordings that included primary data in the form of utterances or parts of spoken speech from various speeches and communications from the people of Central Java with Ganjar Pranowo. The results show that preservation of the Javanese language through conversations between leaders and the community has positive implications. This means that the preservation of the Javanese language is carried out optimally in the social sphere. This activity is well recorded and uploaded on social media, Ganjar Pranowo, a figure who has high credibility. The social sphere is an important component used to preserve Javanese language, culture, and traditions.

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