Second Person Pronouns as Person Deixis in Bengali and English: Linguistic Forms and Pragmatic Functions

Uddin, Md. Afaz

doi:10.5539/ijel.v10n1p345

Cited by 3 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A set of personal pronouns (e.g., he, she, you, etc.) function as one of the basic ways of expressing person deixis in many languages of the world (Uddin, 2019). The first person deixis in this research refers to the speaker The researcher found 33 for the person deixis.…”

Section: Discussionmentioning

confidence: 78%

Deixis Types Found in Barack Obama’s Speech Text At A Congress Community Muslim American Event in The Mosque In Balthimore

Widyaiswara

Arismawati

2021

EDULIA

View full text Add to dashboard Cite

The aim of this research is What are the function and references of the types of deixis found in Barack Obama’s speech text at a congress community Muslim American event in the mosques in Baltimore? The method used in this research is library research qualitative approach. The data source in this research is text of Barack Obama’s speech. The method of collecting data is using documentation. The data were analyses by using Levinson theory. The result of the research are is there are three types of deixis meanly, person deixis has function, place deixis and time deixis. The conclusion of this research in speech text of Barack Obama at a Congress Community Muslim American event in the Mosque in Baltimore some the person deixis has function plural singular and plural pronoun, it singular refers to Barack Obama (as speaker) plural refers to audience. The place deixis has function proximal and distal term, it proximal refers to Mosque in Baltimore where place speaker delivers speech, it distal refers to Community of American Muslims in Africa The time deixis has function proximal and distal term, it proximal refers to Thursday, the day when speaker congress event, it distal refers to the past condition when a act of terrorism. Keywords: Analysis, deixis types, Barack Obama’s speech

show abstract

Section: Discussionmentioning

confidence: 78%

Deixis Types Found in Barack Obama’s Speech Text At A Congress Community Muslim American Event in The Mosque In Balthimore

Widyaiswara

Arismawati

2021

EDULIA

View full text Add to dashboard Cite

show abstract

“…Arabic The Arabic language is spoken in many dialects (Watson, 2011) Bengali Bengali has a complex and elaborate system of using pronouns to express the degrees of familiarity and formality between the participants in a conversation (Das, 1968;Uddin, 2019). T-V distinction (Brown et al, 1960) or the contextual usage of pronouns to convey varying levels of formality, familiarity, and politeness, which is found in many Romance languages (French, Italian, Spanish, etc.…”

Section: Formality Across Different Languagesmentioning

confidence: 99%

In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages

Ersoy,

Vizcarra,

Mayeesha

et al. 2023

Findings of the Association for Computational Linguistics: EMNLP 2023

View full text Add to dashboard Cite

Multilingual generative language models (LMs) are increasingly fluent in a large variety of languages. Trained on the concatenation of corpora in multiple languages, they enable powerful transfer from high-resource languages to low-resource ones. However, it is still unknown what cultural biases are induced in the predictions of these models. In this work, we focus on one language property highly influenced by culture: formality. We analyze the formality distributions of XGLM and BLOOM's predictions, two popular generative multilingual language models, in 5 languages. We classify 1,200 generations per language as formal, informal, or incohesive and measure the impact of the prompt formality on the predictions. Overall, we observe a diversity of behaviors across the models and languages. For instance, XGLM generates informal text in Arabic and Bengali when conditioned with informal prompts, much more than BLOOM. In addition, even though both models are highly biased toward the formal style when prompted neutrally, we find that the models generate a significant amount of informal predictions even when prompted with formal text. We release with this work 6,000 annotated samples, paving the way for future work on the formality of generative multilingual LMs. * Equal contribution. This work was done as part of the Fatima Fellowship mentoring program. jnowski. 1985. A learning algorithm for boltzmann machines. Cognitive science, 9(1):147-169.

show abstract

Analysis of non-English key audit matters: Do key audit matters influence investor sentiment?

Kitiwong,

Ekasingh,

Sarapaivanich

2025

Journal of International Accounting, Auditing and Taxation

View full text Add to dashboard Cite

Second Person Pronouns as Person Deixis in Bengali and English: Linguistic Forms and Pragmatic Functions

Cited by 3 publications

References 4 publications

Deixis Types Found in Barack Obama’s Speech Text At A Congress Community Muslim American Event in The Mosque In Balthimore

Deixis Types Found in Barack Obama’s Speech Text At A Congress Community Muslim American Event in The Mosque In Balthimore

In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages

Analysis of non-English key audit matters: Do key audit matters influence investor sentiment?

Contact Info

Product

Resources

About