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Large language models (LLMs) are increasingly used in medical fields. In mental health support, the early identification of linguistic markers associated with mental health conditions can provide valuable support to mental health professionals, and r
Externí odkaz:
http://arxiv.org/abs/2410.12985
Autor:
Khan, Aditya, Shipton, Mason, Anugraha, David, Duan, Kaiyao, Hoang, Phuong H., Khiu, Eric, Doğruöz, A. Seza, Lee, En-Shiun Annie
URIEL is a knowledge base offering geographical, phylogenetic, and typological vector representations for 7970 languages. It includes distance measures between these vectors for 4005 languages, which are accessible via the lang2vec tool. Despite bein
Externí odkaz:
http://arxiv.org/abs/2409.18472
Large Language Models (LLMs) are increasingly integrated into various medical fields, including mental health support systems. However, there is a gap in research regarding the effectiveness of LLMs in non-English mental health support applications.
Externí odkaz:
http://arxiv.org/abs/2409.17397
In the pursuit of supporting more languages around the world, tools that characterize properties of languages play a key role in expanding the existing multilingual NLP research. In this study, we focus on a widely used typological knowledge base, UR
Externí odkaz:
http://arxiv.org/abs/2405.11125
Nigeria is a multilingual country with 500+ languages. Naija is a Nigerian-Pidgin spoken by approx. 120M speakers in Nigeria and it is a mixed language (e.g., English, Portuguese, Yoruba, Hausa and Igbo). Although it has mainly been a spoken language
Externí odkaz:
http://arxiv.org/abs/2404.19442
Large Language Models are transforming NLP for a variety of tasks. However, how LLMs perform NLP tasks for low-resource languages (LRLs) is less explored. In line with the goals of the AmericasNLP workshop, we focus on 12 LRLs from Brazil, 2 LRLs fro
Externí odkaz:
http://arxiv.org/abs/2404.18286
Bragging is the act of uttering statements that are likely to be positively viewed by others and it is extensively employed in human communication with the aim to build a positive self-image of oneself. Social media is a natural platform for users to
Externí odkaz:
http://arxiv.org/abs/2403.16668
Autor:
Khiu, Eric, Toossi, Hasti, Anugraha, David, Liu, Jinyu, Li, Jiaxu, Flores, Juan Armando Parra, Roman, Leandro Acros, Doğruöz, A. Seza, Lee, En-Shiun Annie
Fine-tuning and testing a multilingual large language model is expensive and challenging for low-resource languages (LRLs). While previous studies have predicted the performance of natural language processing (NLP) tasks using machine learning method
Externí odkaz:
http://arxiv.org/abs/2402.02633
Multilingualism is widespread around the world and code-switching (CSW) is a common practice among different language pairs/tuples across locations and regions. However, there is still not much progress in building successful CSW systems, despite the
Externí odkaz:
http://arxiv.org/abs/2310.20470
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
Reproducibility is a key aspect for scientific advancement across disciplines, and reducing barriers for open science is a focus area for the theme of Interspeech 2023. Availability of source code is one of the indicators that facilitates reproducibi
Externí odkaz:
http://arxiv.org/abs/2306.10033