An Efficient Long Short-Term Memory Model for Digital Cross-Language Summarization

The rise of social networking enables the development of multilingual Internet-accessible digital documents in several languages.The digital document needs to be evaluated physically through the Cross-Language Text Summarization(CLTS)involved in the disparate and generation of the source documents.Cross-language document processing is involved in the generation of documents from disparate language sources toward targeted documents.The digital documents need to be processed with the contextual semantic data with the decoding scheme.This paper presented a multilingual crosslanguage processing of the documents with the abstractive and summarising of the documents.The proposed model is represented as the Hidden Markov Model LSTM Reinforcement Learning(HMMlstmRL).First,the developed model uses the Hidden Markov model for the computation of keywords in the cross-language words for the clustering.In the second stage,bi-directional long-short-term memory networks are used for key word extraction in the cross-language process.Finally,the proposed HMMlstmRL uses the voting concept in reinforcement learning for the identification and extraction of the keywords.The performance of the proposed HMMlstmRL is 2%better than that of the conventional bi-direction LSTM model.

Book Review of Developing Multilingual Education Policies:Theory,Research and Practice Edited by Michal Tannenbaum,and Elana Shohamy,London&New York:Routledge,2023,PP.208,$135.ISBN:978-0-367-61989-3(hbk)

In the book review,the author introduced the latest theoretical and practical endeavors by Isreali scholars to tackle challenges posed by multilingualism.Michal Tannenbaum and Elena Shohamy conducted a comprehensive examination of the Isreali social and educational context,setting the stage for their proposal of a new multilingual policy.The new multilingual education policy has been formulated on the basis of extensive domestic and overseas research and empirical investigation,it is expected to be offer some insights into promoting multilingualism and social justice in both Isreal and the world.

Investigation of Automatic Speech Recognition Systems via the Multilingual Deep Neural Network Modeling Methods for a Very Low-Resource Language, Chaha

Automatic speech recognition (ASR) is vital for very low-resource languages for mitigating the extinction trouble. Chaha is one of the low-resource languages, which suffers from the problem of resource insufficiency and some of its phonological, morphological, and orthographic features challenge the development and initiatives in the area of ASR. By considering these challenges, this study is the first endeavor, which analyzed the characteristics of the language, prepared speech corpus, and developed different ASR systems. A small 3-hour read speech corpus was prepared and transcribed. Different basic and rounded phone unit-based speech recognizers were explored using multilingual deep neural network (DNN) modeling methods. The experimental results demonstrated that all the basic phone and rounded phone unit-based multilingual models outperformed the corresponding unilingual models with the relative performance improvements of 5.47% to 19.87% and 5.74% to 16.77%, respectively. The rounded phone unit-based multilingual models outperformed the equivalent basic phone unit-based models with relative performance improvements of 0.95% to 4.98%. Overall, we discovered that multilingual DNN modeling methods are profoundly effective to develop Chaha speech recognizers. Both the basic and rounded phone acoustic units are convenient to build Chaha ASR system. However, the rounded phone unit-based models are superior in performance and faster in recognition speed over the corresponding basic phone unit-based models. Hence, the rounded phone units are the most suitable acoustic units to develop Chaha ASR systems.

Book Review of Cross-linguistic Influences

This paper presents an overview of some cross-linguistic influences in multilingual language acquisition on both syntax and lexical level from Gabrys Baker's new book.

Learning from Ourselves——Incorporating “multilingual competence” in L2 users' learning trajectories

Inspired by a Chinese notion of "无为而治", this paper tends to stresses the nature of language learners, who always bring in their multilingual competence in their language learning process. Based on a thorough presentation about the nature of language learners, this paper also provides constructive teaching implications for future actual teaching practices.

Multilingual Sentiment Mining System to Prognosticate Governance

In the age of the internet,social media are connecting us all at the tip of our fingers.People are linkedthrough different social media.The social network,Twitter,allows people to tweet their thoughts on any particular event or a specific political body which provides us with a diverse range of political insights.This paper serves the purpose of text processing of a multilingual dataset including Urdu,English,and Roman Urdu.Explore machine learning solutions for sentiment analysis and train models,collect the data on government from Twitter,apply sentiment analysis,and provide a python library that classifies text sentiment.Training data contained tweets in three languages:English:200k,Urdu:200k and Roman Urdu:11k.Five different classification models are applied to determine sentiments,and eventually,the use of ensemble technique to move forward with the acquired results is explored.The Logistic Regression model performed best with an accuracy of 75%,followed by the Linear Support Vector classifier and Stochastic Gradient Descent model,both having 74%accuracy.Lastly,Multinomial Naïve Bayes and Complement Naïve Bayes models both achieved 73%accuracy.

Review on Macro-and Micro-turns in Ttranslation Studies

Translation is a significant communicative activity with a long history. Translation study is developing into two turnsmacro and micro turn. Edwin Gentzler researched these two turns deeply in his thesis Macro-and Micro-turns in translation studies. The study in the circumstance of America can provide our Chinese translation study with some new aspects. Translation is more a frequent activity in the inner circunstance in China.

Integrating Deep Learning and Machine Translation for Understanding Unrefined Languages

In the field of natural language processing(NLP),the advancement of neural machine translation has paved the way for cross-lingual research.Yet,most studies in NLP have evaluated the proposed language models on well-refined datasets.We investigatewhether amachine translation approach is suitable for multilingual analysis of unrefined datasets,particularly,chat messages in Twitch.In order to address it,we collected the dataset,which included 7,066,854 and 3,365,569 chat messages from English and Korean streams,respectively.We employed several machine learning classifiers and neural networks with two different types of embedding:word-sequence embedding and the final layer of a pre-trained language model.The results of the employed models indicate that the accuracy difference between English,and English to Korean was relatively high,ranging from 3%to 12%.For Korean data(Korean,and Korean to English),it ranged from 0%to 2%.Therefore,the results imply that translation from a low-resource language(e.g.,Korean)into a high-resource language(e.g.,English)shows higher performance,in contrast to vice versa.Several implications and limitations of the presented results are also discussed.For instance,we suggest the feasibility of translation from resource-poor languages for using the tools of resource-rich languages in further analysis.

Cross-Language Information Extraction and Auto Evaluation for OOV Term Translations

OOV term translation plays an important role in natural language processing. Although many researchers in the past have endeavored to solve the OOV term translation problems, but none existing methods offer definition or context information of OOV terms. Furthermore, non-existing methods focus on cross-language definition retrieval for OOV terms. Never the less, it has always been so difficult to evaluate the correctness of an OOV term translation without domain specific knowledge and correct references. Our English definition ranking method differentiate the types of OOV terms, and applies different methods for translation extraction. Our English definition ranking method also extracts multilingual context information and monolingual definitions of OOV terms. In addition, we propose a novel cross-language definition retrieval system for OOV terms. Never the less, we propose an auto re-evaluation method to evaluate the correctness of OOV translations and definitions. Our methods achieve high performances against existing methods.

Character Development in a Multilingual International School and Its Use of Self-Assessment Tools

This article describes a multiyear initiative of a multilingual multicultural international school that has come to adopt and internalize character development as part of its identity.That is,character education has been treated as a central tenet and core value that permeates the school and binds the community.It has not been regarded as a supplemental or enhancement project,but rather integral to the general educational program.Built from a principled framework with sound theoretical backing,the infusion of character education at this international school has resulted in the crafting of new standards and the introduction of teacher and student self-assessment tools.In that vein,in this article,we share how the school has come to embrace character development and has forged personalized ways for stakeholders,including teachers and multilingual learners,to engage in improving teaching and learning.

Towards Kikamba Computational Grammar

The under-resourced Kikamba language has few language technology tools since the more efficient and popular data driven approaches for developing them suffer from data sparseness due to lack of digitized corpora. To address this challenge, we have developed a computational grammar for the Kikamba language within the multilingual Grammatical Framework (GF) toolkit. GF uses the Interlingua rule-based translation approach. To develop the grammar, we used the morphology driven strategy. Therefore, we first developed regular expressions for morphology inflection and thereafter developed the syntax rules. Evaluation of the grammar was done using one hundred sentences in both English and Kikamba languages. The results were an encouraging four n-gram BLEU score of 83.05% and the Position independent error rate (PER) of 10.96%. Finally, we have made a contribution to the language technology resources for Kikamba including multilingual machine translation, a morphology analyzer, a computational grammar which provides a platform for development of multilingual applications and the ability to generate a variety of bilingual corpora for Kikamba for all languages currently defined in GF, making it easier to experiment with data driven approaches.

Language Management & Development in CPEC: A Case Study of Special Economic Zone of Punjab

The article aims to understand the language management taking place in the Special Economic Zone of Punjab(China-Pakistan Economic Corridor-CPEC).It incorporates data from both local and Chinese employees.The importance of multi-culture setting at workplace is addressed in this study by incorporating the impact of globalization.Respondents were selected by using random stratified sampling method.Primary data were gathered using multiple research tools;questionnaires,in-depth interviews,observations,and focus group discussions.Findings suggested that Urdu is still the most preferred language followed by English for official purposes or Punjabi for informal communication among lower management.Mandarin still needs to make its place in the Pakistani multi-culture context.Top management from both sides has adopted a positive stance and is willingly accepting a different culture.Chinese employees are even trying to learn Urdu.Use of translators and applications to reduce language barriers is increasing.

Amo’s Hermeneutics and Hegel’s Historical Prejudices Against Africa

During the lifetime of Anton Wilhelm Amos(ca.1700-ca.1755),the hermeneutics served not only interpreting and understanding of philosophical contexts,but also to overcome the prejudices and the underlying spirit of partiality with them.As one of the first modern theorist and systematician of hermeneutics,Amo dealt intensively with the prejudice problem.According to him,any prejudice is a mistake of the mind.Generalizing,Amo claims that prejudices are not a consequence of a false knowledge,but they arise by the lack of knowledge par excellence and are therefore in contradiction with reason.Amo sees the task of hermeneutics to counteract the prejudices inherent contradictions.With regard to the historical hermeneutics,he recommends to look at the past,not by selective or specific moments,but in its generality,in order to avoid contradictory and even false interpretations.But he acknowledges that only generalists as polyvalent historians of philosophy with an interdisciplinary mindset and multilingualism knowledge have this ability to general thinking.It will be examined more closely in this presentation whether Hegel can meet the hermeneutic claim within the meaning of Amo because of his pessimistic-ridiculous and contradictory prejudices about Africa.Finally,the question will be whether Hegel perhaps confounded his mental projections with the real history of Africa why he did not succeed to identify the real causes of the problems of this continent,and to describe their immediate consequences objectively.

An Ethnographic Study:The Role of“Play”in the Development of English Listening and Speaking Ability of Two Chinese Children in a Multilingual Setting

Much scholarship on“play”activities has focused on enhancing children’s learning processes and developing interest towards learning second language[1].Many of these studies,however,adopt the survey to conduct their study.This study explored how“play with local kids”activities effect the development of English speaking and listening of two Chinese children in the Philippines,employing an ethnographically based approach to observe the two participants playing with local kids,which lasted about 4 months.The findings of the study revealed that“play”activities can not only help young children have a better understanding of their English conversations,and make them have more confidence to speak English,but also inspire them to speak English in such environment.In view of the results,it is obvious that“play with local kids”is a very good way for young children to acquire a second language in a multilingual setting.It is strongly recommended that language researchers and teachers should pay more attention and do more research on the relationship between“play”and second language acquisition.

Multilingual Practices and Multiple Contestations in the Linguistic Landscape of Selected Towns in Oromia:A geosemiotic perspective

This study analyzed a linguistic landscape,which is a relatively recent development in sociolinguistic research committed to the investigation of the visual manifestations of the relationships observed between language or semiosis and society in the public space.There has been less attention on the semiotic interpretations in the public environments despite the ubiquitous nature of such signs in Ethiopia.This study intends to fill this gap through Semiotic Landscape research.By means of mixed methods,qualitative and quantitative,it aims to discover the contestations in the Linguistic Landscape(LL,henceforth)of selected urban environments in Oromia.The study employed a theoretical concept of geosemiotics from social semiotics as an analytical tool.Visual data consisting of 1275 photographs of signs were collected from the main streets of Adama,Jimma and Sebeta towns from different domains of sign using bodies.Besides,data were collected through in-depth interviews with major LL actors,selected based on purposive sampling technique.The analysis demonstrated that some top-down and most of bottom-up signs showed varieties of multilingual practices,contestations,identity constructions and other related social concerns.The absence of a clear policy on language use on signs at both federal and regional levels has resulted in contestations.

A Cloud Service Model for Multilingual Home-School Communications

In this paper, we present a cloud service model of multilingual home-school communications （MHSC） with the Drupal framework to provide a friendly learning environment for the students from transnational marriages. The transnational marriage is a phenomenon with ever-increasing in Taiwan and around the world. For a student who has a transnational foreign mother, home-school communication is often an obstacle because the foreign mother has language difficulty understanding the delivered messages in the communication book from teachers. In order to improve parent-teacher communications for the transnational families, we designed and constructed the cloud service platform with online multilingual communications and translation service functions, such that teachers can prepare different sheets of multilingual messages for home-school communication books and foreign mothers can read the messages from the teachers in their native languages through the web interface.

The Belt and Road Initiative:Multilingual Opportunities and Linguistic Challenges for Guangxi,China

The Belt and Road Initiative(BRI)is to construct a large unified market,to make full use of both international and domestic markets,and to enhance the mutual understanding and trust of member nations of Association of Southeast Asian Nations(ASEAN)through cultural exchange,people-to-people ties and integration.Geographically adjacent to ASEAN countries and is close to India and Bangladesh in South Asia,Thailand and Cambodia in Southeast Asia,Guangxi Zhuang autonomous region of China is a key littoral or southern gateway for China’s BRI.Foreign language planning is an essential element for the social development of a country economically and culturally.By reviewing the implementation of the foreign language policy in Guangxi,I analyzed the multilingual opportunities and linguistic challenges in the region,which shares the cross-border languages with its neighboring countries in the multi-ethnic and multi-lingual community,to reveal the sociological meaning of the foreign language policy beyond its linguistic meaning,and propose an English-plus multilingual policy approach toward the ASEAN countries to meet the current needs of communications associated with the BRI.

Integrating Content and Language in Multicultural Universities,edited by Slobodanka Dimova,Joyce Kling,Springer Cham,2020,xxi+183pp.$169.99(hardcover),ISBN:978-3-030-46946-7

Integrating content and language in multilingual universities,edited by Slobodanka Dimova and Slobodanka Dimova was published in 2020.This collection provides a global perspective on integrating content and languages in multilingual higher education(HE)institutions.Covering discussions including student and teacher perceptions,teacher training,staff effectiveness,learning effectiveness,and program development,the volume tends to address how focused language instruction and assessment can be utilized as a foundation for disciplinary content learning,without specific consideration of the diverse contexts.The book review consists of four parts.A brief introduction of the book and its exceptional contribution to the ICL field is presented in the first part.The second part highlights the core ideas of each chapter while commenting on its implications.A summary and an analysis of the academic and practical value of the collection from various perspectives in the last part round out the review.This book review with its unique perspective makes an effective reference for anyone interested in the book.

English in Cameroon

Cameroon, a Western African coastal country, with a heritage of its history of being a previous colony of both British and French from 1916 to 1960, advocates a bilingual language policy in which English and French both serve as official languages. Due to the complex multiethnic and multilingual situation in Cameroon, multilingualism is the factual norm for the population. Besides English and French, numerous indigenous languages, especially Cameroon Pidgin English as the most significant lingual Franca of the country, are also widely used. Some demographics and sociolinguistic survey even reveal the evidence that this pidginized variety of English has occupied its indispensable position in almost all the aspects in the Cameroonian social life. Since this variety of English has long been used in the country for over 500 years, it has formed distinctive features in phonology, lexis as well as in grammar. This nativized language is now increasingly accepted as distinctive Cameroonian contributions to the world Englishes. Will the spread of this variety stand in the way of the learning "standard" English, or should this unstandardized variety be discouraged or banned in order to preserve the authenticity of English language? English as an international language teaching thus is confronted with new challenges and pondering about its future.

Generating a multilingual taxonomy based on multilingual terminology clustering

Taxonomy denotes the hierarchical structure of a knowledge organization system. It has important applications in knowledge navigation, semantic annotation and semantic search. It is a useful instrument to study the multilingual taxonomy generated automatically under the dynamic information environment in which massive amounts of information are processed and found. Multilingual taxonomy is the core component of the multilingual thesaurus or ontology. This paper presents two methods of bilingual generated taxonomy: Cross-language terminology clustering and mixed-language based terminology clustering. According to our experimental results of terminology clustering related to four specific subject domains, we found that if the parallel corpus is used to cluster multilingual terminologies, the method of using mixed-language based terminology clustering outperforms that of using the cross-language terminology clustering.