SPOKEN ENGLISH FOR CORPORATE JOBS: I SEM 2024 SOLVED QP: BU
Differences Between Spoken and Written Language
Call for Papers
COMMENTS
A Study on the Effect of Technology in Enhancing Spoken Language
This research paper investigates the impact of technology on improving spoken language proficiency among language learners. The study employed survey research to figure out students' perceptions ...
An Investigation of Applying Large Language Models to Spoken Language
Spoken language learning is the process of acquiring the ability to communicate verbally in a new language. It involves developing skills such as listening, speaking, pronunciation, vocabulary, grammar, and discourse [].Spoken language learning can be accomplished through diverse methods, including formal instruction, self-study, immersion, interaction, and technology.
The impact of dialect differences on spoken language comprehension
However, a small body of research suggests that both adults and children may have difficulty using dialect features that are present in one dialect but not the other as cues in spoken language comprehension (Bühler, Reference Bühler 2017; Beyer et al., Reference Beyer, Edwards and Fuller 2015; De Villiers & Johnson, Reference De Villiers and ...
Global predictors of language endangerment and the future of linguistic
As with global biodiversity, the world's language diversity is under threat. Of the approximately 7,000 documented languages, nearly half are considered endangered 1,2,3,4,5,6,7,8.In comparison ...
Spoken language interaction with robots: Recommendations for future
To coordinate spoken language with a robot's physical gestures and motion, synthesizers must need to be able to output sync points and to support fine-grained timing control. Recommendation 14. Develop speech generators that support multimodal interaction. Robots are embodied and multimodal.
A Survey on Spoken Language Understanding: Recent Advances and New
Spoken Language Understanding (SLU) aims to extract the semantics frame of user queries, which is a core component in a task-oriented dialog system. With the burst of deep neural networks and the evolution of pre-trained language models, the research of SLU has obtained significant breakthroughs. However, there remains a lack of a comprehensive survey summarizing existing approaches and recent ...
Full article: How to study spoken language understanding: a survey of
The 20 years since the publication of this special issue have seen a second methodological revolution in spoken language research: ... VBM), to spoken language understanding is reviewed in a paper by Wilson (Citation 2017). A similar form of causal inference can derive from experimentally induced changes to brain function. Techniques for short ...
Spoken language identification
This work focuses on improving the Spoken Language Identification (LangId) system for a challenge that focuses on developing robust language identification systems that are reliable for non-standard, accented (Singaporean accent), spontaneous code-switched, and child-directed speech collected via Zoom. 1. Paper.
A review into deep learning techniques for spoken language
The creation of speech databases for spoken language research and development, especially for less-resourced languages, is a time-consuming and largely manual task. ... In this paper, a detailed review of the spoken language identification has been given which can help in understanding various aspects, features and challenges of these systems ...
On The Differences Between Spoken and Written Language
Drawing on research studies in (socio)linguistics, discourse analysis, and literacy, this paper provides a synthesis of findings about lexical and syntactico-semantic differences between spokken and written language, focusing on empirical research on the English language since the 1920s. The major theoretical and methodological aproaches used ...
(PDF) NATURAL LANGUAGE PROCESSING: TRANSFORMING HOW ...
Natural Language Processing (NLP) stands as a pivotal advancement in the field of artificial intelligence, revolutionizing the way machines comprehend and interact with human language. This paper ...
The Spoken Language
In the three sections which follow, I shall review current thinking on: 1) the spoken language as a formal system, focusing on pronunciation, 2) the spoken language as a medium of information transfer (that is, in its transactional function), and 3) the spoken language as a medium of interpersonal exchange (that is, in its interactional ...
2. RESEARCH IN THE TEACHING OF SPEAKING
This chapter reviews research and practice in six main areas relevant to the teaching of speaking: (1) the growing influence of spoken corpora, (2) the debates concerning native speaker (NS) and nonnative speaker (NNS) models for spoken pedagogy,(3) the issue of authenticity in spoken materials, (4) approaches to understanding speaking in the classroom, (5) the selection of texts and aspects ...
Machine translation from signed to spoken languages: state of the art
Automatic translation from signed to spoken languages is an interdisciplinary research domain on the intersection of computer vision, machine translation (MT), and linguistics. While the domain is growing in terms of popularity—the majority of scientific papers on sign language (SL) translation have been published in the past five years—research in this domain is performed mostly by ...
Frontiers
1 Language Testing Research Centre, The University of Melbourne, Melbourne, VIC, Australia; 2 Department of Linguistics, University of Illinois at Urbana-Champaign, Champaign, IL, United States; This paper provides a narrative review of empirical research on the assessment of speaking proficiency published in selected journals in the field of language assessment.
The Psychology of Communication: The Interplay Between Language and
Yet, even for a journal far ahead of its time in terms of diversity in topics and authorship, Best and Everett (2010) reported that within the early part of the current century, the majority of papers appearing in JCCP came from U.S. based researchers and/or from English-speaking countries. Although the IACCP has certainly done a lot to advance cross-cultural psychology through "exclusively ...
Speaking proficiency of young language students: A discourse-analytic
Task types showed some impact on measures of grammar, vocabulary, and content, but had no influence on features of fluency. Findings of the study have implications for the language development of young second and foreign language students and provide insights into language assessment task design for this population.
(PDF) Linguistic Perspectives on Register
Many studies of spoken registers compare conversation with other types of spoken language to determine how conversation-like these registers are (e.g., Lam 2009, Quaglio 2009, Al-Surmi 2012).
Universal strategies for the improvement of expressive language skills
Well-developed oral language skills are strongly associated with academic achievement (Roulstone et al., 2011; Spencer et al., 2017), support literacy development and are an important tool for learning across the curriculum (Alexander, 2013).The importance of oral language extends beyond academic success, impacting on social, emotional, and mental health, both at school (Benner et al., 2002 ...
(PDF) LANGUAGE SKILLS: A STUDY OF IMPROVING ENGLISH ...
The term language skill refers to a person's ability to. use language effectively, in its spoken and written forms, for different activities and purposes. There are major language skills, which ...
Spoken language Research Papers
The paper focuses on the issue of spoken language and colloquialness present in Slovak linguistics for half a century. The first attempts to differentiate these two highly synonymous terms occurred in the Slovak linguistics around the 1950s and 1960s, but the colloquial style was not the focal point in the Slovak linguistics in that time.
"Everyone Deserves AAC": Preliminary Study of the Experiences of
Spoken language can be a significant barrier to communication for individuals on the autism spectrum (Kjelgaard & Tager-Flusberg, 2001; Norrelgen et al., 2014; Rose et al., 2016).Traditionally, early intervention for young autistic children 1 has targeted increasing such skills (e.g., Paul et al., 2013).Although many children learn to use spoken language (speech) as their primary means of ...
Papers with Code
Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. ... To explore whether AI has influenced human spoken communication, we transcribed and analyzed about 280,000 English-language videos of presentations, talks, and speeches from more than 20,000 YouTube channels of academic ...
Linguistic Perspectives on Register
Language users change their written and spoken language according to the situational characteristics and communicative purpose of production—that is, according to the register being produced. Research on registers has focused on register description or patterns of register variation, on detailed analysis of individual linguistic features or an account for the use of a broad range of ...
Advancements in Sign Language Recognition: A ...
Sign language (SL) is a vital mode of communication, bridging the gap between the deaf and hearing communities. However, SL, despite its paramount importance, h ... By analyzing 58 research papers, with a particular emphasis on the most frequently cited papers from each year up to 2023, we shed light on the field's current state, identifying ...
Empirical evidence of Large Language Model's influence on human spoken
This paper discusses the multi-scenario application of ChatGPT-based language modeling in English language teaching, and empirical experiments are conducted to support the research findings.
Learning to Reason with LLMs
Let's break this down step by step based on the example: 1. Example given: • Input: oyfjdnisdr rtqwainr acxz mynzbhhx • Output: Think step by step By examining the words: • The pattern involves selecting specific letters or transforming them. 2. Now, let's decode the new phrase: • Input: oyekaijzdf aaptcg suaokybhai ouow aqht mynznvaatzacdfoulxxz
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search
To address the challenges, we propose a Large Language Model-based Generative Retrieval (LLMGR) approach for retrieving mini-app candidates. ... In this paper, we have deployed a novel retrieval method for the Alipay search system and demonstrated that generative retrieval methods based on LLM can improve the performance of search system ...
IMAGES
VIDEO
COMMENTS
This research paper investigates the impact of technology on improving spoken language proficiency among language learners. The study employed survey research to figure out students' perceptions ...
Spoken language learning is the process of acquiring the ability to communicate verbally in a new language. It involves developing skills such as listening, speaking, pronunciation, vocabulary, grammar, and discourse [].Spoken language learning can be accomplished through diverse methods, including formal instruction, self-study, immersion, interaction, and technology.
However, a small body of research suggests that both adults and children may have difficulty using dialect features that are present in one dialect but not the other as cues in spoken language comprehension (Bühler, Reference Bühler 2017; Beyer et al., Reference Beyer, Edwards and Fuller 2015; De Villiers & Johnson, Reference De Villiers and ...
As with global biodiversity, the world's language diversity is under threat. Of the approximately 7,000 documented languages, nearly half are considered endangered 1,2,3,4,5,6,7,8.In comparison ...
To coordinate spoken language with a robot's physical gestures and motion, synthesizers must need to be able to output sync points and to support fine-grained timing control. Recommendation 14. Develop speech generators that support multimodal interaction. Robots are embodied and multimodal.
Spoken Language Understanding (SLU) aims to extract the semantics frame of user queries, which is a core component in a task-oriented dialog system. With the burst of deep neural networks and the evolution of pre-trained language models, the research of SLU has obtained significant breakthroughs. However, there remains a lack of a comprehensive survey summarizing existing approaches and recent ...
The 20 years since the publication of this special issue have seen a second methodological revolution in spoken language research: ... VBM), to spoken language understanding is reviewed in a paper by Wilson (Citation 2017). A similar form of causal inference can derive from experimentally induced changes to brain function. Techniques for short ...
This work focuses on improving the Spoken Language Identification (LangId) system for a challenge that focuses on developing robust language identification systems that are reliable for non-standard, accented (Singaporean accent), spontaneous code-switched, and child-directed speech collected via Zoom. 1. Paper.
The creation of speech databases for spoken language research and development, especially for less-resourced languages, is a time-consuming and largely manual task. ... In this paper, a detailed review of the spoken language identification has been given which can help in understanding various aspects, features and challenges of these systems ...
Drawing on research studies in (socio)linguistics, discourse analysis, and literacy, this paper provides a synthesis of findings about lexical and syntactico-semantic differences between spokken and written language, focusing on empirical research on the English language since the 1920s. The major theoretical and methodological aproaches used ...
Natural Language Processing (NLP) stands as a pivotal advancement in the field of artificial intelligence, revolutionizing the way machines comprehend and interact with human language. This paper ...
In the three sections which follow, I shall review current thinking on: 1) the spoken language as a formal system, focusing on pronunciation, 2) the spoken language as a medium of information transfer (that is, in its transactional function), and 3) the spoken language as a medium of interpersonal exchange (that is, in its interactional ...
This chapter reviews research and practice in six main areas relevant to the teaching of speaking: (1) the growing influence of spoken corpora, (2) the debates concerning native speaker (NS) and nonnative speaker (NNS) models for spoken pedagogy,(3) the issue of authenticity in spoken materials, (4) approaches to understanding speaking in the classroom, (5) the selection of texts and aspects ...
Automatic translation from signed to spoken languages is an interdisciplinary research domain on the intersection of computer vision, machine translation (MT), and linguistics. While the domain is growing in terms of popularity—the majority of scientific papers on sign language (SL) translation have been published in the past five years—research in this domain is performed mostly by ...
1 Language Testing Research Centre, The University of Melbourne, Melbourne, VIC, Australia; 2 Department of Linguistics, University of Illinois at Urbana-Champaign, Champaign, IL, United States; This paper provides a narrative review of empirical research on the assessment of speaking proficiency published in selected journals in the field of language assessment.
Yet, even for a journal far ahead of its time in terms of diversity in topics and authorship, Best and Everett (2010) reported that within the early part of the current century, the majority of papers appearing in JCCP came from U.S. based researchers and/or from English-speaking countries. Although the IACCP has certainly done a lot to advance cross-cultural psychology through "exclusively ...
Task types showed some impact on measures of grammar, vocabulary, and content, but had no influence on features of fluency. Findings of the study have implications for the language development of young second and foreign language students and provide insights into language assessment task design for this population.
Many studies of spoken registers compare conversation with other types of spoken language to determine how conversation-like these registers are (e.g., Lam 2009, Quaglio 2009, Al-Surmi 2012).
Well-developed oral language skills are strongly associated with academic achievement (Roulstone et al., 2011; Spencer et al., 2017), support literacy development and are an important tool for learning across the curriculum (Alexander, 2013).The importance of oral language extends beyond academic success, impacting on social, emotional, and mental health, both at school (Benner et al., 2002 ...
The term language skill refers to a person's ability to. use language effectively, in its spoken and written forms, for different activities and purposes. There are major language skills, which ...
The paper focuses on the issue of spoken language and colloquialness present in Slovak linguistics for half a century. The first attempts to differentiate these two highly synonymous terms occurred in the Slovak linguistics around the 1950s and 1960s, but the colloquial style was not the focal point in the Slovak linguistics in that time.
Spoken language can be a significant barrier to communication for individuals on the autism spectrum (Kjelgaard & Tager-Flusberg, 2001; Norrelgen et al., 2014; Rose et al., 2016).Traditionally, early intervention for young autistic children 1 has targeted increasing such skills (e.g., Paul et al., 2013).Although many children learn to use spoken language (speech) as their primary means of ...
Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. ... To explore whether AI has influenced human spoken communication, we transcribed and analyzed about 280,000 English-language videos of presentations, talks, and speeches from more than 20,000 YouTube channels of academic ...
Language users change their written and spoken language according to the situational characteristics and communicative purpose of production—that is, according to the register being produced. Research on registers has focused on register description or patterns of register variation, on detailed analysis of individual linguistic features or an account for the use of a broad range of ...
Sign language (SL) is a vital mode of communication, bridging the gap between the deaf and hearing communities. However, SL, despite its paramount importance, h ... By analyzing 58 research papers, with a particular emphasis on the most frequently cited papers from each year up to 2023, we shed light on the field's current state, identifying ...
This paper discusses the multi-scenario application of ChatGPT-based language modeling in English language teaching, and empirical experiments are conducted to support the research findings.
Let's break this down step by step based on the example: 1. Example given: • Input: oyfjdnisdr rtqwainr acxz mynzbhhx • Output: Think step by step By examining the words: • The pattern involves selecting specific letters or transforming them. 2. Now, let's decode the new phrase: • Input: oyekaijzdf aaptcg suaokybhai ouow aqht mynznvaatzacdfoulxxz
To address the challenges, we propose a Large Language Model-based Generative Retrieval (LLMGR) approach for retrieving mini-app candidates. ... In this paper, we have deployed a novel retrieval method for the Alipay search system and demonstrated that generative retrieval methods based on LLM can improve the performance of search system ...