Development of a Lightweight Model for Handwritten Dataset Recognition: Bangladeshi City Names in Bangla Script

The context of recognizing handwritten city names,this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla script.In today’s technology-driven era,where precise tools for reading handwritten text are essential,this study focuses on leveraging deep learning to understand the intricacies of Bangla handwriting.The existing dearth of dedicated datasets has impeded the progress of Bangla handwritten city name recognition systems,particularly in critical areas such as postal automation and document processing.Notably,no prior research has specifically targeted the unique needs of Bangla handwritten city name recognition.To bridge this gap,the study collects real-world images from diverse sources to construct a comprehensive dataset for Bangla Hand Written City name recognition.The emphasis on practical data for system training enhances accuracy.The research further conducts a comparative analysis,pitting state-of-the-art(SOTA)deep learning models,including EfficientNetB0,VGG16,ResNet50,DenseNet201,InceptionV3,and Xception,against a custom Convolutional Neural Networks(CNN)model named“Our CNN.”The results showcase the superior performance of“Our CNN,”with a test accuracy of 99.97% and an outstanding F1 score of 99.95%.These metrics underscore its potential for automating city name recognition,particularly in postal services.The study concludes by highlighting the significance of meticulous dataset curation and the promising outlook for custom CNN architectures.It encourages future research avenues,including dataset expansion,algorithm refinement,exploration of recurrent neural networks and attention mechanisms,real-world deployment of models,and extension to other regional languages and scripts.These recommendations offer exciting possibilities for advancing the field of handwritten recognition technology and hold practical implications for enhancing global postal services.

Something About Chinese Names

Dear Jack,I'm very glad to know that you'll come to China to learn Chinese.And you want to know about Chinese names.Now,I'd like to tell you something about them.Chinese names are different from English names.In Chinese,family names always come first and given names come last Given names usually have some special meanings.We also had informal names when we were little kids,such as Congcong,Nana and so on.

U.Taxonstand:An R package for standardizing scientific names of plants and animals

The scientific names of organisms are key identifiers of plants and animals.Correctly treating scientific names is a prerequisite for biodiversity research and documentation.Here,we present an R package,’U.Taxonstand’,which can standardize and harmonize scientific names in plant and animal species lists at a fast speed and at a high rate of matching success.Unlike most of other similar R packages each of which works with only one taxonomic database,U.Taxonstand can work with all taxonomic databases,as long as they are properly formatted.Multiple databases for plants and animals that can be directly used by U.Taxonstand,which include bryophytes,vascular plants,amphibians,birds,fishes,mammals,and reptiles,are available online.U.Taxonstand can be a very useful tool for botanists,zoologists,ecologists and biogeographers to standardize and harmonize scientific names of organisms.

Translation of Metro Station Names in Guangzhou and Foshan from the Perspective of Symbolic Function of Translation Landscape

Guangzhou and Foshan enjoy relatively mature metro network.However,some names of metro stations are over-transliterated in Pinyin.Such a translation method is used in translating general names,nouns of locality and some names of tourist destinations.With translation landscape and linguistic landscape theories,the reasons and impacts of over-transliteration in Guangzhou and Foshan metro will be discussed from the perspective of symbolic function.English names of Metro stations in other cities serve as a reference so as to appropriate solutions.

RoBGP:A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer

Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and categorize them into predefined entity types.This process can provide basic support for the automatic construction of knowledge bases.In contrast to general texts,biomedical texts frequently contain numerous nested entities and local dependencies among these entities,presenting significant challenges to prevailing NER models.To address these issues,we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer(RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial vectors.It then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information,effectively addressing the issue of long-distance dependencies.Furthermore,the Global Pointer model is employed to comprehensively recognize all nested entities in the text.We conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline models.This research confirms the effectiveness of RoBGP in Chinese biomedical NER,providing reliable technical support for biomedical information extraction and knowledge base construction.

SciCN:A Scientific Dataset for Chinese Named Entity Recognition

Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly promoted the NER research in the English field.By contrast,much fewer efforts are made to the Chinese NER research,especially in the scientific domain,due to the scarcity of Chinese NER datasets.To alleviate this problem,we present aChinese scientificNER dataset–SciCN,which contains entity annotations of titles and abstracts derived from 3,500 scientific papers.We manually annotate a total of 62,059 entities,and these entities are classified into six types.Compared to English scientific NER datasets,SciCN has a larger scale and is more diverse,for it not only contains more paper abstracts but these abstracts are derived from more research fields.To investigate the properties of SciCN and provide baselines for future research,we adapt a number of previous state-of-theart Chinese NER models to evaluate SciCN.Experimental results show that SciCN is more challenging than other Chinese NER datasets.In addition,previous studies have proven the effectiveness of using lexicons to enhance Chinese NER models.Motivated by this fact,we provide a scientific domain-specific lexicon.Validation results demonstrate that our lexicon delivers better performance gains than lexicons of other domains.We hope that the SciCN dataset and the lexicon will enable us to benchmark the NER task regarding the Chinese scientific domain and make progress for future research.The dataset and lexicon are available at:https://github.com/yangjingla/SciCN.git.

A U-Shaped Network-Based Grid Tagging Model for Chinese Named Entity Recognition

Chinese named entity recognition(CNER)has received widespread attention as an important task of Chinese information extraction.Most previous research has focused on individually studying flat CNER,overlapped CNER,or discontinuous CNER.However,a unified CNER is often needed in real-world scenarios.Recent studies have shown that grid tagging-based methods based on character-pair relationship classification hold great potential for achieving unified NER.Nevertheless,how to enrich Chinese character-pair grid representations and capture deeper dependencies between character pairs to improve entity recognition performance remains an unresolved challenge.In this study,we enhance the character-pair grid representation by incorporating both local and global information.Significantly,we introduce a new approach by considering the character-pair grid representation matrix as a specialized image,converting the classification of character-pair relationships into a pixel-level semantic segmentation task.We devise a U-shaped network to extract multi-scale and deeper semantic information from the grid image,allowing for a more comprehensive understanding of associative features between character pairs.This approach leads to improved accuracy in predicting their relationships,ultimately enhancing entity recognition performance.We conducted experiments on two public CNER datasets in the biomedical domain,namely CMeEE-V2 and Diakg.The results demonstrate the effectiveness of our approach,which achieves F1-score improvements of 7.29 percentage points and 1.64 percentage points compared to the current state-of-the-art(SOTA)models,respectively.

Caching Strategies in NDN Based Wireless Ad Hoc Network:A Survey

Wireless Ad Hoc Networks consist of devices that are wirelessly connected.Mobile Ad Hoc Networks(MANETs),Internet of Things(IoT),and Vehicular Ad Hoc Networks(VANETs)are the main domains of wireless ad hoc network.Internet is used in wireless ad hoc network.Internet is based on Transmission Control Protocol(TCP)/Internet Protocol(IP)network where clients and servers interact with each other with the help of IP in a pre-defined environment.Internet fetches data from a fixed location.Data redundancy,mobility,and location dependency are the main issues of the IP network paradigm.All these factors result in poor performance of wireless ad hoc networks.The main disadvantage of IP is that,it does not provide in-network caching.Therefore,there is a need to move towards a new network that overcomes these limitations.Named Data Network(NDN)is a network that overcomes these limitations.NDN is a project of Information-centric Network(ICN).NDN provides in-network caching which helps in fast response to user queries.Implementing NDN in wireless ad hoc network provides many benefits such as caching,mobility,scalability,security,and privacy.By considering the certainty,in this survey paper,we present a comprehensive survey on Caching Strategies in NDN-based Wireless AdHocNetwork.Various cachingmechanism-based results are also described.In the last,we also shed light on the challenges and future directions of this promising field to provide a clear understanding of what caching-related problems exist in NDN-based wireless ad hoc networks.

News in Brief

The Ministry of Civil Affairs releases the fourth list of standardized geographical names in Zangnan The Ministry of Civil Affairs of the People's Republic of China released the fourth list of standardized geographical names in Zangnan(the southern part of Southwest China's Xizang Autonomous Region)on March 30.According to the official website of the ministry,30 additional publicly used place names in the Zangnan region has been officially revealed.

Implicit Modality Mining: An End-to-End Method for Multimodal Information Extraction

Multimodal named entity recognition(MNER)and relation extraction(MRE)are key in social media analysis but face challenges like inefficient visual processing and non-optimal modality interaction.(1)Heavy visual embedding:the process of visual embedding is both time and computationally expensive due to the prerequisite extraction of explicit visual cues from the original image before input into the multimodal model.Consequently,these approaches cannot achieve efficient online reasoning;(2)suboptimal interaction handling:the prevalent method of managing interaction between different modalities typically relies on the alternation of self-attention and cross-attention mechanisms or excessive dependence on the gating mechanism.This explicit modeling method may fail to capture some nuanced relations between image and text,ultimately undermining the model’s capability to extract optimal information.To address these challenges,we introduce Implicit Modality Mining(IMM),a novel end-to-end framework for fine-grained image-text correlation without heavy visual embedders.IMM uses an Implicit Semantic Alignment module with a Transformer for cross-modal clues and an Insert-Activation module to effectively utilize these clues.Our approach achieves state-of-the-art performance on three datasets.

Communicative Names of Cities and Streets

This paper presents the different categories of communicative names of cities and streets with some examples all over the world. The commemorative role is playing also by the names of some continents, like America, from the Amerigo Vespucci＇s name. But many countries and states particularly in the Americas remember the Columbus＇ name. Many city names remember political leaders of great significance, like Washington after Georg Washington, Monrovia after James Monroe, Leningrad （today Saint Petersburg, which remembered the tsar Peter I）. Two soviet leaders, Lenin and Stalin were remembered by two Russian cities, Leningrad and Stalingrad, nowadays Saint Petersburg and Volgograd. The name Ho Chi Minh, after the North Vietnamese leader. The names of other regions and cities have been considered, like many cities and islands named Georgia after some kings. Also Louisiana, The Carolinas, Lfopoldville, Elisabethville were named after other kings and queens. Some cities and islands＇ names remember explorers, like Cook, Stanley, Louren^o Marques （today Maputo, after the name of a fiver）, Brazzaville after, Pietro Paolo Savorgnan di Bra77h etc. Rio de Janeiro is named after the date of its discovery. Many place names were named after Alexander the Great, outer than the Italian Alesssandria, named after the Pope Alexander III. Many place names remember Saints, particularly in Latin America, but also in North America, like St. Francisco. The streets＇ names are many all over the world. In Rome we have streets names to politicians, like Camill Benso di Cavour, Giuseppe Mazzini and Palmiro Togliatti; writers like Alessandro Manzoni and Torquato Tasso. A name like Giuseppe Garibaldi is extremely diffused in all Italy and also in other countries.

A Cognitive Study of the Naming Elements of Chinese Dish Names Based on the Prominence Principle

The assortedness of Chinese food,together with the complexity of their naming elements,has ignited numerous scholars' interests in this field and prompted them to make abundant analyses of Chinese dish names.Most of them,however,were done in studies of traditional linguistics,rhetoric,translatology and cross-cultural communication.And studies,based on corpus,on the naming elements of Chinese dishes under cognitive linguistic theories almost remain a blank.This paper aims to conduct a quantitative analysis of 4,000 Chinese dish names(500 ones selected freely from each of the eight cuisines),based on the Prominence Principle,in order to identify the specific naming elements of Chinese dishes and forward related statistics and ratios.

Road or Lu, Is It Still a Question?—On Translation of Road and Street Names from the Perspective of Functional Theories

The translation of road names from Chinese into English applies no specific standards up to date. Whether the roads should be re ferred in accordance with the nearby position or some symbolic buildings or simply be represented by a phonetic pronunciation which has no specific meaning in English has provoked some heated discussion. In this paper I employ the skopos theory and other relevant theories to put forward a new perspective of translating road and street names, with same emphasis on that of generic name and on specific name. Some illustrations will be made on the defects of the writing standard set by relevant Chinese laws and regulations as well as resolutions of the United Nations Conference on the Standardization of Geographical Names, i.e. the adoption of a Single Romanization System, and Lu to be the generic name in China's case. Also, I will further probe the existing translations of road and street names in major Chinese cities, most of which to be Road, either go against relevant laws or fail to inform foreign visitors. Finally, I will come up with the suggestion of ap plication of a combination of Lu and Road in translation of road and street names in accordance with functional approaches.

On Generalities of Chinese Names and English Names

Name system has developed simultaneously with the change of world language.Generalities of Chinese names and English names are discussed from 8 aspects.Meanwhile,the structural changes of names in Chinese and English are also contrasted in order to make some further exploration.Readers may more deeply understand the specific regularity of the individual languages after knowing several generalities.

Characteristics Studies on Uyghur Place Names in Ili Kazak Autonomous Prefecture

Because of its peculiar language environment with multi ethnicities and the One Belt and One Road initiative,the studies of place names in Ili Kazak Autonomous Prefecture attract many linguists’interests.This paper focuses on characteristics studies of Uyghur place names in Ili Kazak Autonomous Prefecture based on Universal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper found that because of different traditional lifestyles and different political strategies through different historical periods,as urban people,the Uyghur place names highlighted the Uyghur people’s great contributions to artificial constructions.

Characteristics Studies on Kazak Place Names in Ili Kazak Autonomous Prefecture

This paper focuses on characteristics studies of Kazak place names in Ili Kazak Autonomous Prefecture based on Univer-sal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper foundthat because of different traditional lifestyles and different political strategies through different historical periods,this paper provedthat the Kazaks as the nomads were proficient in observing the environmental conditions,and made full use of them to name places.

Principles of Translating Brand Names and Cultural Taboos in Translating Brand Names

Translation of brand names is a form of intercultural communication. Whether we translate the Chinese brand names into the English ones or translate the English brand names into the Chinese ones, language laws, cultural psychology, aesthetic interest and some other factors will be involved. According to the principle of equivalence theory, the translated brand names should achieve a perfect linguistic unity among sound, form and meaning. Based on the translation principles, the translators should also pay attention to some forbidden zones.

Analysis of Names of Twelve Scenic Spots in Baoding Ancient Lotus Pond Garden in China

By taking the twelve scenic spots in Ancient Lotus Pond Garden as study objects, they have been introduced and their names have been classified in accordance with allege and symbol nomenclature, linguistic rhetoric nomenclature, narration and description nomenclature, and emotion-endowing and ambition-expressing nomenclature adopted in related articles. Then, the cultural connotations of these scenic spots have been summarized, and Confucian thought and Taoist thought contained in "Surge Including Pavilion" and "High Principle Tower" have been analyzed. The research is aimed at enlightening modern garden workers through illustrating the connotation of the names of scenic spots, so that they can be inspired in the naming process.

Spatial patterns of interprovincial mountain geographical names in China and implications for regional governance

Suffering from fragile environment, poor accessibility and infrastructure, as well as social,political and economic marginality, the interprovincial mountain geographical entities are difficult areas for the regional governance in China.By analyzing the spatial patterns and the influencing factors of the interprovincial mountain geographical names(IMGNs), the goal of this research is to clarify the geographical features of IMGNs and offer alternatives for the management of interprovincial mountain regions in China. The spatial visualization,the analysis of spatial agglomeration and the influencing factors of IMGNs were all implemented under a geographical information system. Results showed that there were 6869 IMGNs in China according to the database of "China's Second National Survey of Geographical Names(2014-2018)",including 4209 mountain geographical names, 1684 mountain peak geographical names and 976 the other mountain geographical names. Hunan Province had the largest number of names while Shanghai had the smallest number of names. In addition, the spatial variance of the mountain peak names and the mountain names were larger than that of the other mountain geographical names, and the IMGNs showed a significant clustering phenomenon in the southern part of China. The relative elevation and the population had an impact on the distribution of the IMGNs. The largest number of the names occurred where the relative elevation was between 1000-2000 m and where the population was between 40-50 million. Density of unnamed interprovincial mountain geographical entities declined from west to east in China. The analysis of generic names of different types of IMGNs implied that the naming of IMGNs is inconsistent. Based on these analyses, it is suggested that the government should take the IMGNs as management units, strengthen the naming of unnamed interprovincial mountain geographical entities, standardize the generic names of IMGNs and identify areas of poverty based on the survey of IMGNs.

THE MANAGEMENT AND RESEARCH OF GEOGRAPHICAL NAMES USING GEOGRAPHICAL INFORMATION SYSTEM

Based on the combination of Geographical information system(GIS)with the research ofToponymy,some foundational problems of the Geographical Name Information System(GINS)are discussed in this paper.The present situation of Toponymical research is anal-ysed and the necessity of introducing the GIS tools to the research of Toponymy is demon-strated.The conceptual model of the GNIS and the structure of Geographical name Database(GND)are discussed.The basic functions of the GNIS software for management and re-search of geographical name are suggested.Some issues are stated such as the applicationand potential of the combination of GIS with CAD in the management and research of To-ponymy,the combination of GNIS with other spatial information system and sharing the in-formation with each other,the research and development of GNIS, etc.