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Magic Data, in collaboration with M3Oriental, has jointly initiated the “Large-scale Multilingual Speech Recognition Challenge.” Centered on multilingualism, this challenge seeks to explore and develop advanced multilingual speech dialogue systems that ...

This research investigates biases in text-to-image (TTI) models for the Indic languages widely spoken across India. It evaluates and compares the generative performance and cultural relevance of leading TTI models in these languages against their ...

The proliferation of hate speech on digital platforms has become a significant issue, and automated content moderation systems built on machine learning are a proposed solution. However, they face challenges in multilingual and low-resource settings due ...

The surge in digitisation initiatives by Cultural Heritage institutions has facilitated online accessibility to numerous historical manuscripts. However, a substantial portion of these documents exists solely as images, lacking machine-readable ...

In the realm of e-commerce, the process of search stands as the primary point of interaction for users, wielding a profound influence on the platform's revenue generation. Notably, spelling correction assumes a pivotal role in shaping the user's search ...

The effectiveness of dense retrieval models trained with multilingual language models as backbones has been demonstrated in multilingual and cross-lingual information retrieval contexts. The optimal choice of a backbone model for a given retrieval task ...

This paper presents a novel multilingual NLP framework tailored for Brazilian offshore operations, combining data engineering, alignment techniques, and information extraction to offer safety recommendations based on a decade of Brazilian offshore ...

Understanding issues of intersectionality in education is vital for creating equitable learning environments. Intersectionality emphasizes the complexity of students' identities, including race, gender, and socioeconomic status, and how they interact to ...

Identifying internet memes that perpetuate harmful social biases is a significant challenge due to the memes' associated cultural references and multilingualism. This challenge is particularly apparent in Singapore, where multiple languages and diverse ...

Large language models have become increasingly utilized in programming contexts. However, due to the recent emergence of this trend, some aspects have been overlooked. We propose a research approach that investigates the inner mechanics of transformer ...

With its unique information-filtering function, text summarization technology has become a significant aspect of search engines and question-and-answer systems. However, existing models that include the copy mechanism often lack the ability to extract ...

The digitization of historical newspapers is a crucial task for preserving cultural heritage and making it accessible for various natural language processing and information retrieval tasks. One of the key challenges in digitizing old newspapers ...${\mathrm{}}^{\mathit{}}$${\mathrm{}}^{\mathit{}}$

Nowadays, multilingual text recognition is more and more widely used in computer vision. However, in practical applications, the independent modeling of each language cannot make full use of the information between different languages and consumes ...

In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG). CML-TTS is based ...

Recent advances in deep learning have significantly improved the understanding of source code by leveraging large amounts of open-source software data. Thanks to the larger amount of data, code representation models trained with multilingual datasets ...

The substitute-based recommendation is widely used in E-commerce to provide better alternatives to customers. However, existing research typically uses customer behavior signals like co-view and view-but-purchase-another to capture the substitute ...

Monolingual ideology prevails in technology. It is further dominated by the English language. The problem arising from monolingual ideology in technology is pronounced for individuals with limited digital literacy and English familiarity. We present a ...

A number of factors come together to limit the diversity of eye-tracking research, where the majority of papers are conducted with stimuli in the English language. Studying eye movement over other languages is important considering that each language ...

The exponential growth of social media platforms has permitted people to connect worldwide. However, it has also fueled the elevation of several harmful and abusive content on the Internet. Repeated exposure to abusive content may lead to psychological ...

State-sponsored trolls are the main actors of influence campaigns on social media and automatic troll detection is important to combat misinformation at scale. Existing troll detection models are developed based on training data for known campaigns (...