On Grice's Conversational Implicature Theory

Conversational Implicature Theory is one important theory of pragmatics. It focuses on the implied meaning of the speakers and plays an important role in speech communication.

Polite feedback signals in same-gender conversation-An investigation into the theory of politeness impact on the male speakers and female speakers use feedback signals in the same-gender conversation

交流是每天日常生活中分享知识和经验所必不可少的一部分。对话作为交流手段的一种主要形式,是一种即时即地发生的社会活动。反馈语是交互子系统中的(即对话过程中的)一种特定用语,主要表现为使用特定或固定的语言学词汇来引出上下文或是帮助理解或是暗示说话人态度等等。男性和女性参与者在会话过程中使用不同的策略或是选择合适的反馈语表达他们的意见,想法,目的,态度等等进而展现他们的礼貌。

Optimizing Enterprise Conversational AI: Accelerating Response Accuracy with Custom Dataset Fine-Tuning

As the realm of enterprise-level conversational AI continues to evolve, it becomes evident that while generalized Large Language Models (LLMs) like GPT-3.5 bring remarkable capabilities, they also bring forth formidable challenges. These models, honed on vast and diverse datasets, have undoubtedly pushed the boundaries of natural language understanding and generation. However, they often stumble when faced with the intricate demands of nuanced enterprise applications. This research advocates for a strategic paradigm shift, urging enterprises to embrace a fine-tuning approach as a means to optimize conversational AI. While generalized LLMs are linguistic marvels, their inability to cater to the specific needs of businesses across various industries poses a critical challenge. This strategic shift involves empowering enterprises to seamlessly integrate their own datasets into LLMs, a process that extends beyond linguistic enhancement. The core concept of this approach centers on customization, enabling businesses to fine-tune the AI’s functionality to fit precisely within their unique business landscapes. By immersing the LLM in industry-specific documents, customer interaction records, internal reports, and regulatory guidelines, the AI transcends its generic capabilities to become a sophisticated conversational partner aligned with the intricacies of the enterprise’s domain. The transformative potential of this fine-tuning approach cannot be overstated. It enables a transition from a universal AI solution to a highly customizable tool. The AI evolves from being a linguistic powerhouse to a contextually aware, industry-savvy assistant. As a result, it not only responds with linguistic accuracy but also with depth, relevance, and resonance, significantly elevating user experiences and operational efficiency. In the subsequent sections, this paper delves into the intricacies of fine-tuning, exploring the multifaceted challenges and abundant opportunities it presents. It addresses the technical intricacies of data integration, ethical considerations surrounding data usage, and the broader implications for the future of enterprise AI. The journey embarked upon in this research holds the potential to redefine the role of conversational AI in enterprises, ushering in an era where AI becomes a dynamic, deeply relevant, and highly effective tool, empowering businesses to excel in an ever-evolving digital landscape.

Effect of structured nurse-patient conversation on preventing falls among patients in an acute care hospital:A mixed study

Objectives:Inpatient falls are a major patient safety issue in acute care hospitals.Multifactorial inhospital fall prevention programs have shown reductions in falls and related risks.One common element of successful programs is active patient involvement.This study objective was to explore patients’and nurses’experiences with a structured intervention to foster patient involvement.Methods:This study was conducted between September 2020 and April 2021 in a university hospital neurological ward.The studied intervention consisted of a falls information leaflet,and a structured nurse-patient conversation about fall risk-reduction activities.Nurses were trained to deliver the intervention and supported throughout the study.Nurses’and patients’experiences regarding personal involvement,satisfaction,and confidence were surveyed and analyzed quantitatively and qualitatively.Results:Fifty-six patients recruited by ward nurses received the intervention.After receiving the intervention,patients reported high levels of satisfaction with the in-hospital fall prevention conversation.Twenty-one nurses indicated that they would use the leaflet and communication aid.Twenty-one nurses commented on intervention facilitators and barriers.More specific facilitators included their shared perception that“handing out the leaflet to patients was not problematic”and that the leaflet was seen as“applicable in many patient situations.”Their comments indicated two particularly prominent barriers to conducting the intervention in clinical practice:1)“finding the time for the implementation in the daily clinical routine and workload”and 2)“environmental factors like a noisy and busy atmosphere on the ward.”Conclusions:This study provides insights into a patient involvement intervention featuring a structured nurse-patient discussion about fall risks.The accompanying information leaflet and communication guide require adaptations to facilitate sustainable implementation into the hospital’s fall prevention program,but proved useful.

Grice＇s theory of conversational implicature

Understanding an utterance is far from proposition analysis and literal meaning interpretation. It is the unity of what is said and what is implicated. Grice＇s theory of conversational implicature provides some explicit account of how it is possible to mean more than what is literally expressed by the conventional sense of the linguistic expressions uttered. Using this theory, we can infer the speaker＇s real attention, appreciate figure of speech in literary work, and improve our communicative competence.

Language Assessment Feedback Towards Pedagogical Conversational Agent

Continuous development of technology provides an opportunity to incorporate feedback in online assessments.The mode of online instruction during the pandemic was the most significant survival change.Technology enabled every teacher and student to enter a virtual classroom to make sense of education.Feedback is part of language instruction and is a powerful key to improving students’learning performance.Feedback plays an influential and crucial role in teaching and learning.Feedback is an invaluable,ultimate learning tool for learners that aids them in not committing the same error again and creates impetus.Thus,knowing about formative exam feedback is students’right because quality feedback allures them.Given students’eagerness,providing feedback is considered a good practice to be followed by all the teaching faculty.Apropos of online feedback,the present study attempts to study how pedagogical agents provide online feedback in language assessments.The study also considers the characteristics of pedagogical conversational agents that are suitable for providing feedback in online language assessment.Simply put,the study encapsulates that screen agents play an essential role in students’motivation and acceptability of learning through feedback.

Classification of Conversational Sentences Using an Ensemble Pre-Trained Language Model with the Fine-Tuned Parameter

Sentence classification is the process of categorizing a sentence based on the context of the sentence.Sentence categorization requires more semantic highlights than other tasks,such as dependence parsing,which requires more syntactic elements.Most existing strategies focus on the general semantics of a conversation without involving the context of the sentence,recognizing the progress and comparing impacts.An ensemble pre-trained language model was taken up here to classify the conversation sentences from the conversation corpus.The conversational sentences are classified into four categories:information,question,directive,and commission.These classification label sequences are for analyzing the conversation progress and predicting the pecking order of the conversation.Ensemble of Bidirectional Encoder for Representation of Transformer(BERT),Robustly Optimized BERT pretraining Approach(RoBERTa),Generative Pre-Trained Transformer(GPT),DistilBERT and Generalized Autoregressive Pretraining for Language Understanding(XLNet)models are trained on conversation corpus with hyperparameters.Hyperparameter tuning approach is carried out for better performance on sentence classification.This Ensemble of Pre-trained Language Models with a Hyperparameter Tuning(EPLM-HT)system is trained on an annotated conversation dataset.The proposed approach outperformed compared to the base BERT,GPT,DistilBERT and XLNet transformer models.The proposed ensemble model with the fine-tuned parameters achieved an F1_score of 0.88.

Strategies for Fostering Interaction in Online Classrooms:A Conversation Analysis of Teacher-Student Verbal Interaction in Random Questioning in Pandemic-Initiated Online Teaching

This paper aims to explore how a veteran teacher organizes online teaching initiated by the pandemic and how she deals with the problems in online teacher-student verbal interaction.By analyzing a corpus of 20 audio-recorded online lessons between a math teacher and her students during the COVID-19 pandemic from April 11 to May 10,2022,four interactional segments are selected as the focus of the study.The results of the conversation analysis of the segments showed that students’modesty,lack of confidence,lack of ability,and network delay are the main factors affecting online teacher-student interaction.By encouraging students to answer questions,enlightening students to give answers,enriching students’answers,and entertaining the teaching atmosphere(“4Es”strategies),the teacher solved the problems successfully.The findings from this study can provide pedagogical experience and implications for practical teaching.

Characteristic changes in astrocyte properties during astrocyte-to-neuron conversion induced by NeuroD1/Ascl1/Dlx2

Direct in vivo conversion of astrocytes into functional new neurons induced by neural transcription factors has been recognized as a potential new therapeutic intervention for neural injury and degenerative disorders. However, a few recent studies have claimed that neural transcription factors cannot convert astrocytes into neurons, attributing the converted neurons to pre-existing neurons mis-expressing transgenes. In this study, we overexpressed three distinct neural transcription factors––NeuroD1, Ascl1, and Dlx2––in reactive astrocytes in mouse cortices subjected to stab injury, resulting in a series of significant changes in astrocyte properties. Initially, the three neural transcription factors were exclusively expressed in the nuclei of astrocytes. Over time, however, these astrocytes gradually adopted neuronal morphology, and the neural transcription factors was gradually observed in the nuclei of neuron-like cells instead of astrocytes. Furthermore,we noted that transcription factor-infected astrocytes showed a progressive decrease in the expression of astrocytic markers AQP4(astrocyte endfeet signal), CX43(gap junction signal), and S100β. Importantly, none of these changes could be attributed to transgene leakage into preexisting neurons. Therefore, our findings suggest that neural transcription factors such as NeuroD1, Ascl1, and Dlx2 can effectively convert reactive astrocytes into neurons in the adult mammalian brain.

Analysis of Humor in The Big Bang Theory Based on the Conversational Relevance

Humor is the life buoy in waves of life.Pragmatics and humor are closely linked.Relevance is one of the important topics of Pragmatics.This paper takes the lines from The Big Bang Theory as a case study and analyzes the humorous effect from the perspective of Principle of Relevance and Conversational Relevance,hoping to help people deepen the appreciation and understanding of humor.

Analysis of Translation on Conversations in A Dream in Red Mansions via the Perspective of Speech Act Theory

From the perspective of Speech Act Theory, it aims to analyze the translation of a novel—A Dream in Red Mansions provided by Yang Xianyi. It analyzes and appraises some conversations via a simple evaluation model based on the realization of three speech acts that the writer would like to let readers understand. It finally arrives at the conclusion that the quoted version of conversations is vivid and appropriate except for a few expressions.

The Translation of Fictional Dialogues in the Light of Conversational Implicature Theory——A Case Study of The Outstation

This paper is intended to focus on the translation of fictional dialogues,and to explore the specific translation methods in the choice of emotional words to convey the speaker’s conversational implicature in the fiction The Outstation under the guidance of conversational implicature theory.

An Application of Conversational Implicature Theory to L2 Listening Teaching

In second language( L2) listening,listeners find it difficult to figure out the speaker 's implied meaning correctly.Based on Grice's conversational implicature theory and Anderson's three-stage language comprehension model and also based on the cognitive processes in listening comprehension described by Vandergrift,the author attempts to build a implicature inference listening comprehension model( the CT model for short),and conducts an empirical study to testify its effectiveness in L2 listening teaching.

Established conversions for hybrid entangled states assisted by error-predicted parity-discriminated devices

Hybrid entangled states are crucial in quantum physics,offering significant benefits for hybrid quantum communication and quantum computation,and then the conversion of hybrid entangled states is equally critical.This paper presents two novel schemes,that is,one converts the two-qubit hybrid Knill–Laflamme–Milburn(KLM)entangled state into Bell states and the other one transforms the three-qubit hybrid KLM state into Greenberger–Horne–Zeilinger(GHZ)states assisted by error-predicted and parity-discriminated devices.Importantly,the integration of single photon detectors into the parity-discriminated device enhances predictive capabilities,mitigates potential failures,and facilitates seamless interaction between the nitrogen-vacancy center and photons,so the two protocols operate in an error-predicted way,improving the experimental feasibility.Additionally,our schemes demonstrate robust fidelities(close to 1)and efficiencies,indicating their feasibility with existing technology.

Effect of extended nursing based on self-efficacy theory on the anxiety of patients with intertrochanteric fracture

BACKGROUND Extended care based on self-efficacy theory to elderly patients with intertrochanteric fractures will provide data reference to optimize the care plan of these patients,reduce patients’concurrent mental diseases,and improve prognosis.AIM To analyze the value of extended nursing based on the self-efficacy theory in older patients with intertrochanteric fractures.METHODS Older patients with intertrochanteric fractures(n=88)admitted to our hospital between January 2021 and December 2024 were randomly divided into two groups-the control group(n=44,routine nursing)and the observation group(n=44,extended nursing)-via balloting and treated for 12 weeks.The mental state,pain severity,limb function,and self-nursing ability of all patients before and after nursing were analyzed.RESULTS After nursing,the Hamilton Anxiety Scale and General Self-Efficacy Scale scores of patients in the two groups improved.Notably,Hamilton Anxiety Scale and General Self-Efficacy Scale scores in the observation group were lower and higher,respectively,than those in the control group(P<0.05).The pain severity in the observation group(2.64±0.22)was lower than that in the control group(2.85±0.41)(P<0.05).The recovery rate of limb function was higher in the observation group than in the control group(P<0.05).In addition,the self-nursing ability scores of the patients in both groups increased,with a significantly higher score in the observation group(P<0.05).CONCLUSION Extended nursing based on the self-efficacy theory can significantly improve mental state,relieve pain,and promote the recovery of limb function and self-nursing ability in older patients with intertrochanteric fractures.

Nursing interventions based on Snyder’s hope theory for depression following percutaneous coronary interventions:A clinical study

BACKGROUND Patients with depression following coronary heart disease often exhibit insufficient psychological resilience and self-care abilities;therefore,emphasis must be placed on nursing interventions.AIM To analyze the application value of problem-oriented education combined with nursing interventions based on the Snyder hope theory model in depressed patients after percutaneous coronary intervention(PCI).METHODS This study included 150 patients diagnosed with PCI postoperative depression because of coronary heart disease between February 2022 and February 2024.Participants were divided into two groups:A control group(n=75)receiving problem-oriented education and an observation group(n=75)receiving combined nursing interventions based on the Snyder hope theory model.Depression status,psychological resilience,self-care ability,and quality of life were compared between the two groups.RESULTS Before nursing interventions,there were no significant differences between the two groups(P>0.05).After the interventions,depression scores decreased while psychological resilience,self-care ability,and quality of life scores increased significantly in the observation group compared to that in the control group,with statistically significant differences noted(P<0.05).This combined approach can enhance psychological resilience,improve self-care abilities,and elevate the overall quality of life,warranting further promotion in clinical practice.CONCLUSION Combination of problem-oriented education and nursing interventions based on the Snyder hope theory model effectively alleviates depression in patients following PCI for coronary heart disease.

Contrastive Analysis of Conversational Implicature between English and Chinese

Implicature is a universal feature of human communication.In conversations,it is common to see examples of something unsaid but communicated.After introducing the theory of conversational impilcature and its four maxims,this paper presents English and Chinese examples to compare their conversational implicature,and finds conversational implicature exists in both Chinese and English conversation.

Pragmatic Analysis on Conversational Implicature in Mansfield Park

Mansfield Park is one of Jane Austen's masterpieces. There are a lot of lively vivid dialogues in the novel. Conversational implicature is analyzed from the perspective of progmatics in Mansfield Park will be provided in this article.

Views on Differences of Conversational Styles between Chinese and English

Cultural values determine and influence the communicative competence in a substantial way.Conversational styles are also demonstrated by cultural values which are obvious to be discovered in any cultures.The paper is aimed at making a brief analysis of differences between Chinese and English from the perspective of the intercultural communication for the promotion of language abilities for learners during the cultural exchanges.

A Comparative Analysis of Casual Conversation and Institutional Talk

This article reflects on the process of transcribing spoken interaction and makes a comparative analysis of two different varieties of spoken interaction(casual conver- sation and institutional talk). By doing so, it reveals how the different purposes of speech result in their distinctive characteristics, and shows how language is struc- tured to construct ideational meanings(Field) and interpersonal meanings(Tenor) that define each context.