Construction Of Corpus Research Articles

Comparative Analysis of Palingenesis Categories in Teachings of L.N. Tolstoy and Lao-zi

The article deals with the issues of comparing the teachings of Tolstoy and Lao-zi according to the criterion of palingenesis, which is the basis for the construction of the entire ideological corpus of the most important treatise of Taoism “Tao de jing”. Lao-zi formulated the lapidary formula of palingenesis in the fortieth zhang of this treatise, recreating a picture of the harmonization of the Middle Kingdom, arguing that return is the movement of the Tao, and weakening is the action of the Tao. The principle of palingenesis is one of the fundamental principles for which Tolstoy uses Christological vocabulary, and Lao-zi uses embryological vocabulary. The choice of the palingenesis criterion for comparative analysis of the teachings is due to the fact that the latter works as an immutable law when setting the task of recreating harmony in social chaos. Based on the assessments of the content of the zhangs of the “Tao de jing” canon, a representative line of palingenesis elements is built: the category of knowledge/truth; the category of ignorance; the category of simplicity; the category of naturalness; the category of “baby”; the category of non-action; the category of nonviolence. The principles of Taoism are not expressed by Tolstoy with a research sequence in logical definitions, but appear as categories and trends, working in the worldview of the Yasnaya Polyana sage. In the works “What is my faith?”, “Sayings of the Chinese sage Lao-Tse”, “Non-doing”, Tolstoy's teaching is presented in its entirety and is therefore convenient for comparison with the Taoist classics. It is noted that Tolstoy's conceptual idea is based on the desire to convert people to the good - unity with all people. This orientation towards the good is nothing else than the return to man of his original nature, on the way to which the principle of palingenesis associated with the boycott of the civilization of violence is realized. The conducted research has shown that in the teachings of Lao-zi and Tolstoy, which record the experience of theoretical exploration of the world, the categories of palingenesis are common to the Russian and Chinese spirit.

Computational Technologies for Construction of Business Korean Translation Corpus Based on Association Rules Mining

With the implementation of China's reform and opening up and China's accession to the World Trade Organization, Chinese business Korean translation plays an increasingly important role in international trade activities. Although the study of business Korean has aroused the strong research interest of scholars, its research focus is limited to word selection, grammatical transformation and various specific translation techniques, which is far from systematic. Good business translation should also involve factors such as the translator's role, cross-culture, and the client of translation. However, how to combine corpus with language teaching, make corpus enter the classroom and get practical application in daily language teaching is still in the exploratory stage. Most of the existing translation theories are tailored for literary translation, and business translation is a branch of non-literary translation, so these theories are difficult to guide business translation. Combined with the research results of translation studies and examples in business Korean, this paper discusses the characteristics and translation of business Korean as a special Korean, so as to provide reference for translation or related learners, and also want to attract more scholars to pay attention to business Korean and its translation.

Teacher / Student Partnerships in Online Video Corpus Construction and Annotation. Encouraging Higher Education Students’ Digital Literacy

Teacher / Student Partnerships in Online Video Corpus Construction and Annotation. Encouraging Higher Education Students’ Digital Literacy

METAPHORICAL FRAMINGS IN THE NEW YORK TIMES ONLINE PRESS REPORTS ABOUT CHATGPT

Through a combined quantitative-qualitative approach the paper aims to explore the densities and possible rhetorical effects of the most common metaphorical framings used in the New York Times online press reports about ChatGPT. The theoretical framework is based on the main tenets of conceptual metaphor theory (Lakoff and Johnson 2003[1980]), frame semantics (Fillmore 1982), and image schema theory (Johnson 1987). The initial stage involved the construction of a small specialized corpus which was tagged manually for the analysis in WordSmith Tools 6.0. Metaphor identification was conducted in line with MIPVU (STEEN et al. 2010). Quantitative analysis showed the highest density for containment, motion, and force metaphors. Living being, tool, conflict, and machine metaphors were also present, but not as frequent. The linear regression model (motion, force, living being) explained 61% of variance in the density of containment metaphors, and it was significant (p=.002). Additional linear regression models have also been tested. The results suggest the potential for interaction of these metaphor groups when they cooccur in discourse (i.e., they may work in concert to construct a specific viewpoint). Qualitative analysis showed a range of possible rhetorical effects that the identified metaphorical framings may play (e.g., making AI more appealing by framing it as a living being or tool, raising doubts about the use of AI by constructing borders and containers, or framing AI as a threat). Results of qualitative analysis should be understood as testable hypotheses that remain to be further explored and validated in experimental settings.

Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science

The paper is devoted to construction of a sentence corpus annotated by the general sentiment into 4 classes (positive, negative, neutral, and mixed), a corpus of phrasemes annotated by the sentiment into 3 classes (positive, negative, and neutral), and a corpus of sentences annotated by the presence or absence of irony. The annotation was done by volunteers within the project “Prepare texts for algorithms” on the portal “People of science”. The existing knowledge on the domain regarding each task was the basis to develop guidelines for annotators. A technique of statistical analysis of the annotation result based on the distributions and agreement measures of the annotations performed by various annotators was also developed. For the annotation of sentences by irony and phrasemes by the sentiment the agreement measures were rather high (the full agreement rate of 0.60--0.99), whereas for the annotation of sentences by the general sentiment the agreement was low (the full agreement rate of 0.40), presumably, due to the higher complexity of the task. It was also shown that the results of automatic algorithms of detecting the sentiment of sentences improved by 12–13 % when using a corpus for which all the annotators (from 3 till 5) had the agreement, in comparison with a corpus annotated by only one volunteer.

THE IMPORTANCE OF CHILDREN’S LITERATURE FOR THE TRAINING OF STUDENT READERS

this article is the result of a bibliographical and qualitative research and it is proposed to present some reflections on the importance of Child Literature for the development of the language and orality of the child from reading practices and how it can be an opening tool for the their intellectual development and a path to the universe of reading. Reading and bibliographical research on literary literacy and children’s literature have become reflexive axes for the construction of the research corpus composed of two works of the Literacy Program in the Right Age (PAIC). Thus, the analyzes show that reading practices in Children’s Literature are crucial for expanding vocabulary, productions of good oral texts, the taste for reading, critical thinking and gives the child the discovery, the imagination and the creation of the self and the world around you.

Forestry english corpus construction and application in foreign language teaching under the background of big data and internet of things

With the development of science and technology, the concept of big data and the Internet of Things is being used in the social life of ordinary people widely more and more. Realizing the efficient use of big data and Internet of Things technology, has become an important means to improve work efficiency and scientific research results. Such a rapid development trend makes each team actively participate in the application of these technologies, hoping to make their work more in line with the trend of the times. Especially for the collection and construction of some databases, it has more advantages than traditional tools. This research makes full use of this technical advantage, selects the abstracts of the core journals of forestry at home and abroad as the corpus source, and builds a small English corpus of forestry. The corpus is used in English teaching in colleges and universities, uses a combination of comparative analysis and sampling surveys, and can play an active role in vocabulary learning and translation practice, semantics, grammar, syntax teaching, thesis writing, etc. Stimulate students’ interest in learning and enhance their independent learning ability and spirit of exploration. The experimental data shows that the English corpus constructed under the background of big data and the Internet of Things improves the average retrieval efficiency of college students by 27.3%, and the comprehensiveness of retrieval items increases by 9.6% on average. These improvements have a very positive effect on the development of foreign language teaching in related professional colleges and universities.

Construction of Corpus for Hydraulic Purpose: Supporting Industry Research, Education, and Development

Corpus-based approaches and tools are effectively and widely used in language studies for specific purposes. A developed corpus with a large collection of specialized textual examples can help users find language characteristics and patterns of the industry. Building a Chinese-English bilingual hydraulic industrial corpus allows practitioners and students to get access to definitions, terminology usage, relevant academic research findings, and ongoing projects, so as to support industry research, education, and development. NHRICorpus is a platform that consists of a Chinese-English bilingual corpus and a term search engine. Terms in the corpus were retrieved from internal academic reports of Nanjing Hydraulic Research Institute. Users can launch into the platform to search for hydraulic engineering terms, information, and practices. To improve user experiences, eye-tracking technologies and theories are applied in web page design.

Construction and Application of English-Chinese Multimodal Emotional Corpus Based on Artificial Intelligence

Multimodal corpus is a new type of multimedia teaching aid tool that was born and widely used in the current social development and educational reform process. It is mainly based on computer technology and network technology, and uses various multimedia materials as corpus to establish a more comprehensive English database. Corpus is increasingly used in English-Chinese multimodal teaching. Combining the content of the corpus with modern information technology will help to better understand the meaning, usage and collocation of English and Chinese multimodality, and then improve the initiative of autonomous learning. Furthermore, English-Chinese multimodality is a fixed or semi-fixed programmed language, which can be directly extracted from memory according to the context during use, which can effectively improve learners’ writing efficiency and overcome the negative impact of native language transfer. Facing the task of sentiment analysis, this article has taken the text semantic representation technology based on representation learning as the main method, and carries out a series of researches from the definition of implicit emotion, the characteristics of language expression and the recognition method. Finally, in the language system of modern Chinese, it is found that there are many sentence patterns that are very similar to the middle verb structure in language expression, but the efficiency is still improved by 3.6%. Compared with traditional methods, the English-Chinese multimodal sentiment corpus method based on artificial intelligence can better reflect the application value of language, which also helps to feel the real context, change the way of thinking, and make the way of thinking more suitable for the language awareness of native speakers, thereby improving the vividness of language expression.

Editors’ Introduction

Editors’ Introduction

Learning about Schools in the British Isles Through a Video Corpus: Reflections on an Online Project for Digital Literacy and Multimodal Corpus Construction

Through first-hand experiences undertaken with students using the OpenMWS platform (Taibi 2020), the paper reports on the progress made by second-year language degree students in English linguistics at the University of Messina as regards their use of online corpus construction, annotation and search tools when exploring video genres. The paper describes the ways in which participation in the Messina OVP (Online Video Project) on schools in the British Isles during and after the Covid crisis has proved beneficial for the students in question, both in terms of acquiring textual competences and as regards creating new interactive communities (Vasta and Baldry 2020; Baldry et al 2022).

Construction of cardiovascular information extraction corpus based on electronic medical records.

Cardiovascular disease has a significant impact on both society and patients, making it necessary to conduct knowledge-based research such as research that utilizes knowledge graphs and automated question answering. However, the existing research on corpus construction for cardiovascular disease is relatively limited, which has hindered further knowledge-based research on this disease. Electronic medical records contain patient data that span the entire diagnosis and treatment process and include a large amount of reliable medical information. Therefore, we collected electronic medical record data related to cardiovascular disease, combined the data with relevant work experience and developed a standard for labeling cardiovascular electronic medical record entities and entity relations. By building a sentence-level labeling result dictionary through the use of a rule-based semi-automatic method, a cardiovascular electronic medical record entity and entity relationship labeling corpus (CVDEMRC) was constructed. The CVDEMRC contains 7691 entities and 11,185 entity relation triples, and the results of consistency examination were 93.51% and 84.02% for entities and entity-relationship annotations, respectively, demonstrating good consistency results. The CVDEMRC constructed in this study is expected to provide a database for information extraction research related to cardiovascular diseases.

Essential oil composition and biological activities of Aloysia gratissima (Gillies & Hook.) Tronc. (Verbenaceae): a systematic review

Essential oils are secondary metabolites stored in different organs of aromatic plants. Among the plants found in the Pampa biome with potential for essential oil extraction, Aloysia gratissima, the garupá, stands out. The sustainable use of native plants is a strategy for conserving biodiversity. Therefore, by connecting research and the strategic requirement to value sociobiodiversity in South America, this review aimed to systematically analyze scientific studies about the biological effects, yield, and chemical composition of the essential oil of garupá. The review considered articles published between 2012 and 2022 based on the following inclusion criteria: a) publications in English, Spanish, or Portuguese, b) related to essential oils, and c) on chemical compounds and biological activities. Of the 99 articles obtained, 13 were included in the analysis based on the construction of the textual corpus. Similarity and descending hierarchical analyses were carried out using Iramuteq. The 13 articles presented data on the composition of A. gratissima oils, of which ten evaluated the biological properties and eight presented yield data. Thus, the yield varied from 0.25 to 1.14% and the main compounds found in the studies were: 1,8-cineole, β-pinene, guaiol, sabinene, ß-caryophyllene, α-pinene, bicyclogermacrene, spathulenol, trans-pinocamphone, and trans-pinocarveol acetate. Furthermore, the results show that essential oils have potential for use as phytomedicines and agricultural bio-inputs due to their antifungal, antibacterial, analgesic, and repellent activities.

The Construction of a Multilingual Parallel Corpus for Hnewo Teyy

The Construction of a Multilingual Parallel Corpus for Hnewo Teyy

Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction

Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction

Annotated Open Corpus Construction and BERT-Based Approach for Automatic Metadata Extraction From Korean Academic Papers

With the accelerating development of science and technology, the academic papers being published in various fields are increasing rapidly. Academic papers specially in science and technology fields are a crucial media for researchers who develop new technologies by identifying knowledge regarding the latest technological trends and conduct derivative studies in science and technology. Therefore, the continual collection of extensive academic papers, structuring of metadata, and construction of databases are significant tasks. However, research on automatic metadata extraction from Korean papers is not being actively conducted currently owing to insufficient Korean training data. We automatically constructed the largest labeled corpus in South Korea to date from 315,320 PDF papers belonging to 503 Korean academic journals and this labeled corpus can be used for training the models of automatic extraction for 12 metadata types from PDF papers. This labeled corpus is available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://doi.org/10.23057/48</uri> . Moreover, we developed inspection process and guidelines for the automatically constructed data and performed a full inspection of the validation and testing data. The reliability of the inspected data was verified through the inter-annotator agreement measurement. Using our corpus, we trained and evaluated the BERT based transfer learning model to verify its reliability. Furthermore, we proposed new training methods that can improve the metadata extraction performance of Korean papers, and through these methods, we developed KorSciBERT-ME-J and KorSciBERT-ME-J+C models. The KorSciBERT-ME-J showed the highest performance with an F1 score of 99.36%, as well as robust performance in automatic metadata extraction from Korean academic papers in various formats.

Remote Learning Models in Video Corpus Construction: Simulation, Creativity and Remodelling as Pedagogic Tools

Within online learning environments research, this paper identifies four remote-learning models that have characterised the use of the OpenMWS platform within the processes of selection, transcription, annotation and concordance-like searches characterising video corpus construction and analysis. They relate to student tasks such as the creation of video corpora ex novo when completing dissertations, traineeships, group project work and with remodelling existing video corpora to meet the needs of new audiences such as primary and secondary schoolchildren. The paper makes reference to how analytics records student interactions with the platform, an approach inviting students to reflect on their own learning trajectories.

Use or produce?: Corpus construction for affective speech analysis

Use or produce?: Corpus construction for affective speech analysis

English-Chinese Corpus Collection and Translation Wisdom Algorithm Implementation Based on Ajax+JQuery

This paper firstly introduces the discussion of "representativeness" in the construction of translation corpus abroad. Jie Cao pointed out that under the circumstance that the current theoretical research is still very familiar, the construction of the English-Chinese translation bank should be based on this. From the point of view of "translating and breaking the c-test", it takes the construction of "the core of eucalyptus" as the breakthrough point. This paper discusses the functional design of the college student information management system using the jQuery framework and AJAX technology and using the multi-layer architecture. It constructs a student-centered teaching corpus and applies it to teaching practice. Taking the comparative translation teaching method as the guiding ideology, it discusses the specific measures to apply the translation corpus in the process of college English translation teaching.

Construction of a Chinese Corpus for Multi-Type Economic Event Relation

We construct a Chinese Economic Event Treebank (CEETB) , focusing on revealing economic and finance events and their relations. Investigating economic event relations will benefit academic research and practice in not just economics but many other scientific areas. The characteristics of economic-related texts (e.g., abundant longer enterprises names and terms) and the Chinese language speciality (e.g., component ellipsis in long sentences) have resulted in challenges in the event relation extraction task. Existing Chinese corpora containing economic event relations mainly focused on finance areas (e.g., the equity market) and only covered a few event types. To support research that may involve economic text analysis in Chinese, our CEETB is constructed following a carefully designed process. First, based on practical and research requirements, we summarize nine different types of event relations and four types of component ellipses in economic texts. Then, an excellent annotation scheme is presented to hyalinize the model, strategy, and process in annotation, followed by statistical analysis and quality evaluation for the CEETB corpus. Finally, to demonstrate the strengths of the constructed corpus in practical applications, we conduct experiments on five SOTA models for event relation extraction.