Wikipedia, as a massively multilingual, community-driven platform, is a valuable resource for Natural Language Processing (NLP), yet the consistency of honorific usage in honorific-rich languages remains underexplored.
Honorifics, subtle yet profound linguistic markers, encode social hierarchies, politeness norms, and cultural values, but Wikipedia's editorial guidelines lack clear standards for their usage in languages where such forms are grammatically and socially prevalent. 
This paper addresses this gap through a large-scale, analysis of third-person honorific pronouns and verb forms in Hindi and Bengali Wikipedia articles. Using Large Language Models (LLM), we automatically annotate $10,000$ articles per language for honorific usage and socio-demographic features such as gender, age, fame, and cultural origin.
We investigate: (i) the consistency of honorific usage across articles, (ii) how inconsistencies correlate with socio-cultural factors, and (iii) the presence of explicit or implicit biases across languages.
We find that honorific usage is consistently more common in Bengali than Hindi, while non-honorific forms are more frequent for infamous, juvenile, and exotic entities in both. Notably, gender bias emerges in both languages, particularly in Hindi, where men are more likely to receive honorifics than women.
Our analysis highlights the need for Wikipedia to develop language-specific editorial guidelines for honorific usage.

Women, Infamous, and Exotic Beings: What Honorific Usages in Wikipedia Reflect on the Cross-Cultural Sociolinguistic Norms?

Generating polite responses is essential to build intelligent and engaging dialogue systems. However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when parallel datasets for regular-to-polite pairs are usually unavailable. This paper proposes a polite chatbot that can produce responses that are polite and coherent to the given context. In this study, a politeness transfer model is first used to generate polite synthetic dialogue pairs of contexts and polite utterances. Then, these synthetic pairs are employed to train a dialogue model. Automatic and human evaluations demonstrate that our method outperforms baselines in producing polite dialogue responses while staying competitive in terms of coherent to the given context.

Polite Chatbot: A Text Style Transfer Application

WikiNLP invites researchers to contribute novel uses of Wikimedia data or studies of the impact of Wikimedia data within the NLP community. We will discuss tensions around multilinguality and concerns raised by generative AI. We will also highlight successful approaches to developing tooling that can assist the Wikimedia community in maintaining and improving the breadth of the Wikimedia projects. [Read more](https://meta.wikimedia.org/wiki/NLP_for_Wikipedia_(ACL_2025))

W26: WikiNLP: Advancing Natural Language Processing for Wikipedia

workshop paper

### Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

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*It is my great pleasure and honor to welcome you to the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), held in beautiful Vienna, Austria, from July 27 to August 1, 2025. ACL2025continues our field’s tradition of excellence in scholarship, innovation, and inclusivity, and I am deeply grateful to the many volunteers who have worked tirelessly to bring this event to life.* 
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Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

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### Welcome to the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 
Continuing its mission of expanding and involving the science community of all European countries, EACL had selected the Ukrainian community for the 16th EACL, which took place online due to the COVID pandemic. Unfortunately, the ongoing war made the organisation in Kyiv impossible. Considering the importance of physical interaction among researchers, especially after the restrictions imposed by the COVID pandemic, in addition to an online mode, the conference will be held in Dubrovnik, Croatia, from 2 to 6 of May, 2023. The original aim of strengthening the connection with the Ukrainian community will not change as our program will feature a dedicated session and a workshop to highlight work on Ukrainian language technologies. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

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EACL 2023

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

Sourabrata Mukherjee

2

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Women, Infamous, and Exotic Beings: What Honorific Usages in Wikipedia Reflect on the Cross-Cultural Sociolinguistic Norms?

Polite Chatbot: A Text Style Transfer Application

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