Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing communities.In Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for communication.However,existing JSL recognition systems have faced significant performance limitations due to inherent complexities.In response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning features.Our system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL gestures.Simultaneously,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second stream.Then,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL gestures.After reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the classification.To assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)dataset.Our results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty requirements.Researchers are exploring machine learning to predict software bugs,but a more precise and general approach is needed.Accurate bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning methods.However,these studies are not generalized and efficient when extended to other datasets.Therefore,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification problems.The methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a model.Four National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were combined.It reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset

One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) havebecome the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management,medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related,initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terroristattacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database(GTD) can influence the accuracy of the model’s classification of terrorist attacks, where each part of the datacan provide vital information to enrich the ability of classifier learning. Each data point in a multiclass taxonomyhas one or more tags attached to it, referred as “related tags.” We applied machine learning classifiers to classifyterrorist attack incidents obtained from the GTD. A transformer-based technique called DistilBERT extracts andlearns contextual features from text attributes to acquiremore information from text data. The extracted contextualfeatures are combined with the “key features” of the dataset and used to perform the final classification. Thestudy explored different experimental setups with various classifiers to evaluate the model’s performance. Theexperimental results show that the proposed framework outperforms the latest techniques for classifying terroristattacks with an accuracy of 98.7% using a combined feature set and extreme gradient boosting classifier.

Impact of transcranial electrical stimulation on serum neurotrophic factors and language function in patients with speech disorders

BACKGROUND Speech disorders have a substantial impact on communication abilities and quality of life.Traditional treatments such as speech and psychological therapies frequently demonstrate limited effectiveness and patient compliance.Transcranial electrical stimulation(TES)has emerged as a promising non-invasive treatment to improve neurological functions.However,its effectiveness in enhancing language functions and serum neurofactor levels in individuals with speech disorders requires further investigation.AIM To investigate the impact of TES in conjunction with standard therapies on serum neurotrophic factor levels and language function in patients with speech disorders.METHODS In a controlled study spanning from March 2019 to November 2021,81 patients with speech disorders were divided into a control group(n=40)receiving standard speech stimulation and psychological intervention,and an observation group(n=41)receiving additional TES.The study assessed serum levels of ciliary neurotrophic factor(CNTF),glial cell-derived neurotrophic factor(GDNF),brainderived neurotrophic factor(BDNF),and nerve growth factor(NGF),as well as evaluations of motor function,language function,and development quotient scores.RESULTS After 3 wk of intervention,the observation group exhibited significantly higher serum levels of CNTF,GDNF,BDNF,and NGF compared to the control group.Moreover,improvements were noted in motor function,cognitive function,language skills,physical abilities,and overall development quotient scores.It is worth mentioning that the observation group also displayed superior perfor CONCLUSION This retrospective study concluded that TES combined with traditional speech and psychotherapy can effectively increase the levels of neurokines in the blood and enhance language function in patients with speech disorders.These results provide a promising avenue for integrating TES into standard treatment methods for speech disorders.

An Analysis of the Language Features of Barack Obama's Inaugural Speeches

This thesis tries to analyze the language features of Barack Obama's two inaugural speeches in 2008 and 2012 from the linguistic aspects,including sentence types as well as figures of speech which included imperative sentences,parallelism,rhetorical question,alliteration,hyperbole,simile,metaphor and so on.

Features of Women's language

Language is a means of verbal communication.People use language to communicate with each other.In the society,no two speakers are exactly alike in the way of speaking.Some differences are due to age,gender,statue and personality.Above all,gender is one of the obvious reasons.The writer of this paper tries to describe the features of women's language from these perspectives: pronunciation,intonation,diction, subjects,grammar and discourse.From the discussion of the features of women's language,more attention should be paid to language use in social context.What's more,the linguistic phenomena in a speaking community can be understood more thoroughly.

A study on the Features of English Legal language

In recent years, China is deepening reform and opening up to the outside world especially after China’s successful accession to theWTO. In this respect, legal communication plays an important part in the intercourse between different countries, and the basic features oflegal language can be noticed in specific situations in legal communication. In this thesis, the Lexical features, Semantic features, Grammaticaland Structural features of legal language are introduced.

The Grammatical Features of Song Lyrics of Bruno Mars——On Examples of4 Number-one Singles on the Billboard Hot 100

Music,as an informal variety of language,is an indispensable component of culture,which has permeated into every corner of society,with an extreme intimate tie with people’s everyday life.Song lyrics,the carrier of music,are the representation of the style of this language variety,music.Once song lyrics are written,not matched with the melody,they acquire the independent value of literature.As a result,stylistic features of song lyrics are certainly different from those features of poetry,prose,novel,etc.Therefore,it is of necessity and importance to study the stylistic features of song lyrics.Bruno Mars,as a singer and songwriter,is now regarded as one of the most successful solo artists in all over the world.He participates in the creation of his songs.This paper,from the point of stylistics,aims at the analysis of the grammatical features of the pop songs of Bruno Mars on examples of 4 number-one singles on th e Billboard Hot 100.

Differentiate Written Language from Spoken Language by Analyzing Rich Features in Writings

The most important reason why an average writing is different from a good writing lies in whether the writing uses written language or spoken language. To tell the differences between them, the essay analyzes rich features such as lexical density, grammatical intricacy, and use of noun phrase of some examples. Therefore, students may learn how to write in a new point of view.

Language Features and Culture Features on Short Message

Mobile phone is regarded as"the fifth media"after newspaper,radio,TV and the Internet.The mobile phone short message further highlights the importance of written signs in communication".The thumb revolution"is eagerly anticipating one kind of trend by the hand replace of mouth,sound substitute for the quiet around us.My paper will analyze the language features and the culture features of mobile phone short messages which are written in Chinese and English.

Investigating the writing proficiency of pre-service English as a Second Language teachers:Making use of distinguishing features

This research aims to investigate the writing proficiency of Hong Kong pre-service ESL teachers,in particular how their writing proficiency differs as characterized by distinguishing features inherent in such teachers' writing performances. Over 120 pre-service ESL teachers from various programmes in local universities in Hong Kong were recruited for the study. Results showed that the higher their writing level,the better they performed in a set task as well as in grammatical range and accuracy. The different programmes they enrolled in could affect the number of cohesive devices they tended to use. Mode and years of study had an effect on task achievement and number of cohesive device. Pre-service teachers enrolled in the teacher training programmes on a part-time basis outperformed those enrolled on a full-time basis. Teachers with more teacher training outperformed newly admitted pre-service teachers.The results of this study could provide empirical evidence for identifying different levels of writing proficiency for Hong Kong pre-service ESL teachers. On this basis,the link between the writing proficiency of pre-service ESL teachers and their assessment of student scripts could be subsequently established in a follow-up study to explore their differences in scoring focuses and strategies when scoring students' writings. This could further contribute to teacher evaluation,teacher training concerning language proficiency,and the improvement of teachers' assessment literacy in high-stakes and L2 classroom writing assessment.

The Language Features of Stopping by Woods on a Snowy Evening

As a unique feature of literature, poem brings readers music beauty, image beauty, visual beauty as well as symbolic beauty. Robert Frost is an American contemporary poet who is good at stylistic feature of poems, especially in macroscopic organization, rhetorical methods, grammatical metaphor, vocabulary, rhythmic feature, and semantic relations. Generally, sound is related to phonetics and phonology. Patterns of sound can create melodious effect in poetry, and sometimes a single vowel or consonant will make the verse or even the particular poem significant. Sometimes musical or incantatory effects are achieved through devices such as onomatopoeia, alliteration, assonance and rhythm. A stylistic analysis of Robert Frost's famous poem"Stopping by Woods on a Snowy Evening"is given, which mainly focused on its language features. Through the excellent choice of words and organization of sound, Frost makes the simplest pieces into meaningful poems with beautiful melody and brings readers refreshing sense, flatus of life, tranquility and geniality.

Language Features of Politeness at Lexicon Level in English, Japanese and Chinese

Courtesy language, as an indispensable part of communication, occurs in all languages. However, due to the cultural diversity, different languages have different laws and regulations in the choice of courtesy language, which is very important in cross culture communication. It is significant and instructive to study the similarities and differences of the courtesy language. The article aims to study the language features of politeness at lexicon, syntactic and pragmatic level in English, Japanese and Chinese as well as the underlying reasons and culture roots of the diversities, to make cross-culture communication better.

On the Roles of Cultural and Artistic Features of Dialects in Teaching Chinese as a Foreign Language

As a Chinese dialect that bears the greatest resemblance to Standard Mandarin,Northeastern Mandarin is the closest relative of Standard Mandarin in terms of vocabularies,rhetorical devices and grammatical rules.The traditional Chinese folk culture of Errenzhuan(two-people rotation)1 is an epitome of traditional Chinese culture,full of humor and wittiness.This paper aims to explore the necessity and feasibility of incorporating Errenzhuan into teaching Chinese as a foreign language as a way to spark greater student interest,increase the fun of learning and enrich teaching methods,which ultimately serves to improve the quality of Chinese teaching worldwide,spread traditional Chinese folk culture and strengthen China’s cultural confidence.

Language Features in Katherine Mansfield's “The Garden-Party”

This paper analyzes the features of language in"The Garden-Party"of Katherine Mansfield from three aspects of sentencestructure, word selection and characters' discourse. A large number of examples indicate Katherine Mansfield's language in the shortfiction creates a poetic imagery; moreover, the author's words depicting things and portraying figures have a great influence on the ex-pression of the theme and characterization of the short story.

Macroscopic Contrast of English,Chinese and the Shui Language Syntactic Features and Thought Patterns

This paper is to explore the syntactic features and thought patterns among English,Chinese and the Shui language,discussing this topic from macroscopic,giving a brief contrast and comparison on macroscopic of English,Chinese and the Shui language.

The Language Features and Translation Strategies of Business English Contract

The thesis aims to offer translation guidelines and strategies of business English contract,through the research on the language features of business English contract. It begins with the importance of the study on the translation strategies of business contract in English. then,review and analysis the traditional translation theories,and gain a detailed discussion on Business English's and contract English's characteristics,provides the translation strategies of business English contract. Finally,put forward some suggestions on further study.