Word Collocations Research Articles

意义单位对翻译对等的制约因素研究— 以“마땅하다”和“理应”为例

This paper takes “마땅하다-理应” as an example, using corpus-based research method to examine meaning units of the two words, and finds that “마땅하다” and “理应” show a high degree of consistency in collocation, semantic selection tendency, and semantic prosody. They can be regarded as translation equivalence units. Meanwhile, we also come to the following conclusions: data-based analysis of meaning units (extended meaning units and meaning shift units) is an effective way to determine translation equivalence. The collocations, semantic selection tendency, and colligation in the meaning units are all likely to have a key influence on translation equivalence, but semantic prosody is still the decisive factor in judging translation equivalence. Colligation in the analysis of meaning units can provide a clear grammatical framework for extracting collocation words and a more detailed classification approach for generalizing semantic selection tendency, semantic prosody and meaning-shift units, and can also have a direct impact on the semantic prosody of certain node words, that is, node words have a clear attitudinal meaning in certain colligations and construct semantic prosody with clear tendency.

Тюркский свод Прохора Коломнятина в ряду нарративных памятников крымской тематики XIV–XVII веков

Research objectives: To analyze the genre-typological and stylistic peculiarities of the narrative parts that accompany the actual dictionary entries of the Turkic-Russian dictionary, and thus to add a new source to the group of narrative monuments from the fourteenth to seventeenth centuries centuries which pertain to Crimea. Research materials: The Turkic-Russian dictionary (“Kniga Elihv”) included in the manuscript miscellany (“Tsvetnik”) that was compiled by the hieromonk, Prokhor Kolomiatin, in 1668. The manuscript is kept in the collection of the State Historical Museum (Muzeyskoe sobr., No. 2803). Results and novelty of the research: The Turkic-Russian dictionary included in Prokhor Kolomiatin’s miscellany is one of the earliest examples of a Turkic lexicography in the Cyrillic tradition. Along with the records of lexemes and word collocations, it contains lengthy narratives concerning religion, geography, and ethnography of Crimea. The nature of the information provided suggests that the author of the dictionary was living in Crimea for some time, most likely as a prisoner, although having a certain privileged status. Having little opportunity to travel outside the peninsula, he received knowledge, including information about other countries, from verbal communication with the local inhabitants made up of different national and social groups. Analysis of the content of the narrative material allows us to state that the text has its own degree of originality, although it naturally finds thematic and genre parallels with the well-known medieval narratives concerning Crimea.

Analyzing Second Language Written Summaries at University Level

Objective: The objectives of the study are to identify and categorize non-native students´ errors in the written summaries, to see which research instruments – the mobile reading app (experimental group) or internet-based article (control group) are more effective, and to determine if language proficiency of students will improve. Methods: This study uses an analysis of linguistic-stylistic errors as a research method on the written performance of 29 EFL Slovak students in 29 written summaries. Findings: The findings indicate that the most problematic areas in writing summaries were grammatical (determiners), followed by stylistic (text coherence, slang words, and punctuation), lexical (word collocations), and lexico-stylistic errors (prepositions). Overall, students´ proficiency in both groups rose from B2 to C1 level by 38% of the students (11 students). Therefore, both methods – the reading app and internet-based articles are effective. Novelty: The novelty of the study consists in enriching the existing literature by pointing out errors of EFL Slovak students making in writing summaries by exploiting modern technology in the writing process. Doi: 10.28991/esj-2021-01322 Full Text: PDF

Haunted Across the Political Spectrum: The Specter of Communism in Two Midcentury American Organizations

Organizations operating in midcentury America experienced a period of relative economic prosperity and global power. While political tensions existed between the United States and the Soviet Union since the culmination of the World War II, when the Soviet Union conducted its first nuclear test in 1949 and then successfully launched Sputnik 1 in 1957, these political tensions became more pressing concerns to American organizations. In fact, the perceived existential threat posed by communism became an observable rhetorical justification for organization and action within the United States. Through the use of corpus linguistics techniques, a comparative analysis was conducted on the foundational documents of the rightwing, John Birch Society and the leftwing, Students for a Democratic Society. Relative word frequencies, collocations, concordancing and statistical analyses were conducted around the use and context of the keyword communism. The results suggest that while these radical and reactionary groups perceived a common threat, multifinality exists in terms of organizational response. This insight is useful to those engaged in strategy development and rhetoric for political and business organizations.

Persian Fake News Detection: Neural Representation and Classification at Word and Text Levels

Nowadays, broadcasting news on social media and websites has grown at a swifter pace, which has had negative impacts on both the general public and governments; hence, this has urged us to build a fake news detection system. Contextualized word embeddings have achieved great success in recent years due to their power to embed both syntactic and semantic features of textual contents. In this article, we aim to address the problem of the lack of fake news datasets in Persian by introducing a new dataset crawled from different news agencies, and propose two deep models based on the Bidirectional Encoder Representations from Transformers model (BERT), which is a deep contextualized pre-trained model for extracting valuable features. In our proposed models, we benefit from two different settings of BERT, namely pool-based representation, which provides a representation for the whole document, and sequence representation, which provides a representation for each token of the document. In the former one, we connect a Single Layer Perceptron (SLP) to the BERT to use the embedding directly for detecting fake news. The latter one uses Convolutional Neural Network (CNN) after the BERT’s embedding layer to extract extra features based on the collocation of words in a corpus. Furthermore, we present the TAJ dataset, which is a new Persian fake news dataset crawled from news agencies’ websites. We evaluate our proposed models on the newly provided TAJ dataset as well as the two different Persian rumor datasets as baselines. The results indicate the effectiveness of using deep contextualized embedding approaches for the fake news detection task. We also show that both BERT-SLP and BERT-CNN models achieve superior performance to the previous baselines and traditional machine learning models, with 15.58% and 17.1% improvement compared to the reported results by Zamani et al. [ 30 ], and 11.29% and 11.18% improvement compared to the reported results by Jahanbakhsh-Nagadeh et al. [ 9 ].

STUDENTS’ PERCEPTION AND PERFORMANCE OF Flipped LEARNING IN HIGHER EDUCATION

کان الغرض من هذه الدراسة هو تحديد تصور وأداء طلاب اللغات الأجنبية في الجامعة الأردنية خلال دورة حول تکوين الکلمات والتجميع حيث تم تطبيق التعلم الصفي المعکوس. يتناقض التقليب في الفصل الدراسي مع الفصل التقليدي ، حيث يکون الطلاب مسؤولين عن قراءة القراءات المخصصة ومشاهدة مقاطع الفيديو المخصصة قبل الفصل ، ويتم استخدام وقت الفصل في المهام العملية والمناقشات المدروسة. خلال هذه الدراسة ، تم جمع البيانات باستخدام الأساليب الکمية والنوعية. تم استخدام استبيان التغذية الراجعة وبيانات سجل الدورة التدريبية والمقابلة لدراسة تصور الطلاب والمعلم في الفصل المقلوب. تم تقدير نتائج التحليل الذي تم إجراؤه على دورة تکوين الکلمات والتجميع ، ويتفاعل الطلاب بشکل إيجابي مع العناصر العامة للتعلم في الفصل المقلوب. في الختام ، يعتقد کل من المعلم والطلاب أن التعلم في الفصل المقلوب له تأثير إيجابي على فعالية التعلم. ومع ذلک ، فقد أعربوا عن أنهم يواجهون بعض التحديات خلال هذه الدورة. The purpose of this study was to determine the perception and performance of foreign language students at the University of Jordan during a course on word formation and collocation where flipped classroom learning was applied. Flipping classroom is in contrast to a traditional class, where the students are responsible for reading the assigned readings and watching the assigned videos before the class, and the class time is used for practical tasks and thoughtful discussions. During this study, data were collected using quantitative and qualitative methods; a feedback questionnaire, course log data and an interview were used to study the perception of the students and teacher on flipped classroom. The results of the analysis conducted on word formation and collocation course were appreciated, students react positively to general elements of flipped classroom learning. In conclusion, both teacher and students believe that flipped classroom learning has a positive effect on learning effectiveness. However, they expressed that they are facing a few challenges during this course.

Analysis of English Vocabulary Collocation Errors and Its Coping Strategies Based on Big Data

In the process of English teaching, there are still some prominent problems, such as English vocabulary collocation errors. At that time, due to the lack of systematic analysis and research, it was difficult to quantify the internal causes and types of students’ English vocabulary collocation errors. Based on this, this article first analyzes the role of word collocation in English language learning, secondly studies the types of students’ English vocabulary collocation errors, and finally gives a way to improve students’ word collocation ability based on big data.

Students’ Perceptıon And Performance Of Flipped Learnıng In Hıgher Educatıon

The purpose of this study was to determine the perception and performance of foreign ‎language students at the University of Jordan during a course on word formation and ‎collocation where flipped classroom learning was applied. Flipping classroom is in ‎contrast to a traditional class, where the students are responsible for reading the ‎assigned readings and watching the assigned videos before the class, and the class time ‎is used for practical tasks and thoughtful discussions. ‎During this study, data were collected using quantitative and qualitative methods; a ‎feedback questionnaire, course log data and an interview were used to study the ‎perception of the students and teacher on flipped classroom.‎The results of the analysis conducted on word formation and collocation course were ‎appreciated, students react positively to general elements of flipped classroom ‎learning. In conclusion, both teacher and students believe that flipped classroom ‎learning has a positive effect on learning effectiveness. However, they expressed that ‎they are facing a few challenges during this course.‎

The linguocultural concept based on word frequency: correlation, differentiation, and cross-cultural comparison

ABSTRACT This paper proposes (1) to develop mixed research framework for linguocultural concept analysis by integrating word frequency analysis using Google Books Ngram Viewer with Pearson correlation, word collocation, integrating qualitative analysis; and (2) to determine its feasibility and effectiveness with regards to correlation, cross-cultural comparison, and differentiation of linguocultural concepts. Findings suggest that war may be one of the contributing factors to the religious consciousness of the Russian people (r = 0.471, p < 0.001). The results of the collocation analysis suggest that ‘freedom’ has boundaries, whilst the ‘will’ has none. A cross-cultural study of Chinese and American cultures revealed that the consciousness of sacrifice was stronger than that of obedience. In addition, frequencies of conceptual words show that China has a stronger collectivist culture as compared to the United States. However, it is difficult to obtain a correct and credible statement of conceptual differences only by relying on word frequency.

Mechanisms of conveying phraseological units in the novel “Eugene Onegin” by A. S. Pushkin [based on the translation into the Portuguese language by Dario Moreira Castro Alves

The object of this research is the phraseological units in translation of the novel &amp;ldquo;Eugene Onegin&amp;rdquo; by A. S. Pushkin into the Portuguese language. Analysis is conducted on the concept of phraseological units and methods of their classification in the scientific literature. The article aims to examine the methods of conveying phraseological units in the two noncognate language, as well as reveal ethnocultural differences in the set phrases denoting similar concepts. The author believes that understanding and proper interpretation of phraseological units are essential for translating foreign literature, learning and teaching foreign languages. The research employs the methods of contextual and comparative analysis of phraseological units of the Russian culture in translation of the novel, which allowed discerning the differences in cognition of the text among the native speakers of Russian and Portuguese languages. The novelty of this article lies in referring to the only existing translation of the novel &amp;ldquo;Eugene Onegin&amp;rdquo; into the Portuguese language, which was has not previously become the object of linguoculturological research. It is revealed that phraseologisms are widely used in the novel and can be classified by the degree of stability, metaphoricity and motivation word collocations. The author indicates the differences in linguistic means of conveying phraseological units in the Russian and Portuguese languages, as well as determines the ways of conveying phraseologisms in translation of the novel, such as phraseological equivalent, analogue, calquing, and descriptive translation. In translation of the meanings of Russian phraseologisms into the Portuguese language, the translator was able to achieve considerable accuracy, although it is difficult to convey the national flavor of the novel to the fullest. &amp;nbsp;

COMPILING VOCABULARY LISTS FOR CORPUS-BASED ARABIC FOR TOURISM TEACHING

Arabic for Tourism is a course that can be facilitated with innovative teaching materials along with the availability of learning resources on the internet rich in vocabulary and terms typical to the field of Arabic tourism. Therefore, the use of Arabic tourism websites is an effective way to compile vocabulary lists. The articles published in this kind of websites can be collected to be used as a corpus, then processed using a corpus processing software, AntConc. This study used a combination of qualitative and quantitative approaches with descriptive and comparative methods using a corpus linguistic approach. Teachers can take advantage of the features in this application to identify vocabularies commonly used in the world of tourism. These features are word frequency, concordance, collocation, and N-Gram. The results can be used as a reference in compiling an Arabic for Tourism vocabulary list.

An Analysis of Students’ Collocation Translation in EFL Classroom

This study sought to answer the question, "What is the English collocation found in student descriptive text translation?" This study was designed as descriptive qualitative research, and the study's data was described qualitatively. The data was taken from the student’s descriptive translation. The sources of the data in this study were sentences and expressions that contain collocation. Documentation is the only instrument used in collecting the data. To analyze the data, the researchers used data reduction, data display, and conclusion drawing/verification. The result of this study showed that (1) there were sixteen collocations found in student’s descriptive text translation and (2) the meanings of English collocations were fourteen had denotative meaning. To conclude, the collocation words do not only have one meaning but also have many meanings, and change the meaning based on the structure of the sentence in the text.

Automatic Identification of Authors’ Stylistics and Gender on the Basis of the Corpus of Russian Fiction Using Extended Set-theoretic Model with Collocation Extraction

We present a novel quantitative approach for classification of authors' stylistics and gender differences based on extraction of word collocation. The proposed algorithm attenuates previously described issues of text processing using the vector models. We demonstrate the approach by analyzing a corpus of Russian prose. We discuss different approaches for classification and identification of the author's style implemented by currently-available software solutions and libraries of morphological analysis, methods of parameterization, indexing of texts, artificial intelligence algorithms and knowledge extraction. Our results demonstrate the efficiency and relative advantage of regression decision tree methods in identifying informative frequency indexes in a way that lends itself to their logical interpretation. We develop a toolkit for conducting comparative experiments to assess the effectiveness of classification of natural language text data, using vector, set-theoretic and the author's set-theoretic with collocation extraction models of text representation. Comparing the ability of different methods to identify the style and gender differences of authors of fiction works, we find that the proposed approach incorporating collocation information alleviates some of the previously identified deficiencies and yields overall improvements in the classification accuracy.

Teaching Grammar through Literature to EFL Learners: A Corpus Approach

A plethora of researches have been conducted to improve the grammar teaching technique of English language in order to make it easier for the students to learn English in a fun way. To teach the grammar, the corpus approach proves to be very beneficial. The focus of this study is to explore the way how literary poems can be of great use for teaching English language to the students, by using a Simple Concordance Program Scp (4.09). For this purpose, we have selected four English poems. This is an exploratory research. This study investigates the ways in which the application of Corpus Analysis Tool on poems can assist English language teaching. Hence, it makes it easy for the students in ELT classrooms to comprehend the grammatical structures. The results illustrate that the Scp (4.09) tool helps in extracting the words with higher frequency rate but as well as in the teaching of imperative, conditional sentences, present (indefinite, continuous and perfect) and simple past tenses, as it provides the concordances of the words. Further researchers can find out the word collocations by using the same tool. Moreover, the selected poems in this study, can be analyzed through other corpus tools available. This study can also be expanded to the stylistic analysis of the poems. The literary devices used by both poets can be studied, compared and taught to the students.

A Corpus-based Comparative Study of “get-passive” Semantic Prosody

Research on semantic prosody education is playing a vital role in the process of learning English.This research is based on the LOB corpus (Lancaster-Oslo/Bergen corpus) and the IWriteBaby corpus, the core library of the IWrite Chinese English Learner Corpus. Using AntConc 3.5.7, to compare the semantic preference of the collocation words of get in the two corpora that meet the get-passive structure. Aiming to compare the semantic prosody differences between Chinese English learners and native speakers when they use the structure “get-passive”. It mainly focuses on the analysis of neutral collocation terms that have a higher frequency of co-occurrence with get and a mutual information value (I value) which is greater than or equal to 3. The research results show that Chinese English learners tend to have neutral semantic prosody when using this structure, while native speakers tend to prefer negative semantic prosody.With the combination of semantic prosody and corpus method should be attached importance to improve the level of English education.

ANALISIS TINDAK TUTUR BERBASIS KORPUS PADA TAGAR TOLAK OMNIBUS LAW

ABSTRACT&#x0D; The purpose of this study is to find out the discursive portrayal of the hashtag “tolakomnibuslaw” on Twitter, which reveals rejection of the Job Creation Law by applying the synergy of linguistic corpus method and illocutionary speech act analysis. The data of this research is a corpus based taken from the utterances of Twitter users who use the hashtag of Omnibus Law Rejection (#tolakomnibuslaw) on October 8, 2020. Word lists and collocations analysis are utilized to see patterns of the hashtag used by people in expressing rejection of the Job Creation Law. Concordance is used to lean more the analysis of speech acts and study the data. The result show that there are 38 styles of the hashtag use. Most of them is the use of noun behind the hashtag “tolakomnibuslaw”. In addition, there are also five common topic hashtags included the hashtag “tolakomnibuslaw”. From the perspective of speech acts, there are five types of speech acts that appear and are dominated by assertive speech and forms of criticism against government effort.&#x0D; Keywords: linguistic corpus; social media; speech acts

ON THE ISSUE OF STRUCTURAL-SEMANTIC SIMILARITIES OF THE FRENCH AND SERBIAN LANGUAGES AT THE MORPHOLOGICAL LEVEL

The article examines similarities between French and Serbian languages at the morphological level. The study of linguistic contacts in modern linguistics is a separate direction, which contributes to the growth of interest in the processes of borrowing, where a special place is given to the theory of tracing and its fixation in scientific materials in Russian, the Baltic and some Turkic languages. The paper considers the tracing of French lexemes by the Serbian language as one of the types of external influence on the language, which makes it possible to reveal the nature and extent of this influence from certain sources. The goal of the paper was to identify and describe some structural and semantic similarities in certain lexical groups in French and Serbian languages in comparison with Russian at the morphological level. 140 French and Serbian linguistic units were analysed and compared to their Russian equivalents. Continuous sampling method, componential analysis and comparative analysis were used in the study. As a result, it was found that the French and Serbian lexemes under study are marked by coincidence of the inner form and morphological structure. As for the Russian equivalents, they are represented by word collocations, loan words (transliterations or transcriptions), or lexemes with a different inner form.

A Corpus Analysis of Frequently Occurring Words and their Collocations in High-Impact Research Articles in Education

In research writing, the importance of formulaic sequences (FS) or collocations and the need for writers to adapt and utilise these phrasal constructions in their writing cannot be denied. However, English as a second or a foreign language (ESL/EFL) writers often have difficulty in finding the right words or phrases in writing good academic research papers due to limited vocabulary and the lack of native-like fluency. There is also the concern that they are unaware of the rhetorical structure of academic research papers, which can hamper the organization of ideas and flow of writing and lead to messy and unclear production of language. Formulaic sequences and collocations of words represent useful phrasal constructions that writers use to fluently and efficiently express their intended communicative purposes. In this regard, this study uses corpus analysis to list collocations commonly used in high-impact journals written in the field of education. The study also categorises these collocations according to their communicative purposes, referred to as moves and steps, in the rhetorical structure of the Introduction of research articles. The final list which focussed on ten node words from 40 high-impact journal articles consists of 3 to 12 word phrases found in the Introduction section of these articles. They were then categorised according to their specific functions based on an adapted Introduction Move Framework of the Create a Research Space (CARS) schema (Swales 2004) and common moves in the Introduction section of the Academic Phrasebank (Morley, 2014). Keywords: Rhetorical structure; ESL and EFL; Corpus studies; Collocations; Academic writing

Collocations of high frequency words in nursing research articles and The Academic Collocation List: Similarities and differences

Abstract The main objective of this corpus-based study is to research the most frequent two-word collocations in the corpus of nursing scientific articles and compare this newly assembled list of nursing collocations with the Academic Collocation List (ACL). The nursing scientific articles corpus (NSAC) used in this study comprises 1,119,441 words from 262 articles of 10 high-quality journals from the Medical Library Association list which nursing students can freely access. The focus is on noun-noun and noun-adjective collocations. The selected articles were converted into txt files using the ABBYY Fine Reader. WordSmith Tools 7.0 and TermeX were used for noun and collocation extraction. The newly assembled Nursing Collocation List (NCL) and the ACL were compared using Microsoft Excel 2016. A total of 488 collocations were identified in the NSAC and the NCL contains 234 (47.9%) noun + noun and 254 (52.1%) adjective + noun collocation combinations. The most frequent two-word collocation is health care and it appeared 618 times in the NSAC. The ACL (2,469) and the NCL (488) share 123 two-word collocations. Although there are some correspondences between collocations in the two corpora, key nursing collocations with notably higher frequencies are identified in the NSAC (365). Despite the fact that the ACL is the most extensive collocation list across different academic fields and it certainly plays an important role in teaching English as a foreign language, this study suggests that it does not provide key nursing collocations for improvement of nursing collocation competence.

Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model

Topic model and word embedding reflect two perspectives of text semantics. Topic model maps documents into topic distribution space by utilizing word collocation patterns within and across documents, while word embedding represents words within a continuous embedding space by exploiting the local word collocation patterns in context windows. Clearly, these two types of patterns are complementary. In this paper, we propose a novel integration framework to combine the two representation methods, where topic information can be transmitted into corresponding semantic embedding structure. Based on this framework, we construct a Embedding Enhanced Topic Model (EETM), which can improve topic modeling and generate topic embeddings by leveraging the word embedding. Extensive experimental results show that EETM can learn high-quality document representations for common text analysis tasks across multiple data sets, indicating it is very effective for merging topic models with word embeddings.