arXiv Research
Abstract:Largelanguage…▽ MoreLargelanguagemodels(LLMs) increasingly mediate human communication, decision support, content creation, and information retrieval. Despite impressive fluency, these systems frequently produce biased or stereotypical content, especially when prompted with socially sensitivelanguage. A growing body of research has demonstrated that such biases disproportionately affect l
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arXiv Research
Abstract:…in maternal healthcare settings. Targeted at low-resource environments such as Pakistan, the system integrates a fine-tuned, multilingual automatic speech recognition (ASR)modeland a prompt-engineered large…▽ MoreWe present the design, implementation, and in-situ deployment of a smartphone-based voice-enabled AI system for generating electronic medical records (EMRs) and clinical risk al
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arXiv Research
Abstract:…analysis has traditionally focused on lexical and stylistic cues within text, while higher-level narrative structure remains underexplored, particularly for low-resourcelanguagessuch as…▽ MoreAuthorship analysis has traditionally focused on lexical and stylistic cues within text, while higher-level narrative structure remains underexplored, particularly for low-resourcelanguagessuch asUr
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arXiv Research
Abstract:Misinformation on social media is a widely acknowledged issue, and researchers worldwide are actively engaged in its detection. However, low-resourcelanguagessuch as…▽ MoreMisinformation on social media is a widely acknowledged issue, and researchers worldwide are actively engaged in its detection. However, low-resourcelanguagessuch asUrduhave received limited attention in this domain. An
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arXiv Research
Abstract:Direct Speech-to-Speech Translation (S2ST) has gained increasing attention for its ability to translate speech from onelanguageto another, while reducing error propagation and latency inherent in traditional cascaded pipelines. However, existing direct S2ST systems continue to face notable challenges, including instability in semantic-acoustic alignment wh…▽ MoreDirect Speech-to-Speech Tr
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arXiv Research
Abstract:Handwritten text recognition (HTR) for Arabic-scriptlanguagesstill lags behind Latin-script HTR, despite recent advances in…▽ MoreHandwritten text recognition (HTR) for Arabic-scriptlanguagesstill lags behind Latin-script HTR, despite recent advances inmodelarchitectures, datasets, and benchmarks. We show that data quality is a significant limiting factor in many published datasets and pr
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arXiv Research
Abstract:Recent advances in largelanguage…▽ MoreRecent advances in largelanguagemodels(LLMs) have led to strong reasoning capabilities; however, evaluating suchmodelsin low-resourcelanguagesremains challenging due to the lack of standardized benchmarks. In particular,Urdureasoning evaluation has been limited by the sensitivity of machine translation and an emphasis on generallanguagetasks rather t
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arXiv Research
Abstract:…as: Persons Name, Organization, Location, Date and Time, Term, Designation and Short forms. Now, it is considered to be important aspect for many natural languages processing (NLP) tasks such as: information retrieval system, machine translation system, information extraction system and question answering. Even at a surface level, the understanding of the na…▽ MoreNamed Entity Recognitio
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arXiv Research
Abstract:Natural Language Processing (NLP) is increasingly used as a key ingredient in critical decision-making systems such as resume parsers used in sorting a list of job candidates.…▽ MoreNatural Language Processing (NLP) is increasingly used as a key ingredient in critical decision-making systems such as resume parsers used in sorting a list of job candidates.NLPsystems often ingest large corp
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arXiv Research
Abstract:Urduis a widely spoken language with 163 million speakers worldwide across the globe. Information Retrieval (IR) for…▽ MoreUrduis a widely spoken language with 163 million speakers worldwide across the globe. Information Retrieval (IR) forUrduentails special consideration of research community due to its rich morphological features and a large number of speakers. In general, IR evaluation
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arXiv Research
Abstract:Urduis a widely spoken language in South Asia. Though immoderate literature exists for the…▽ MoreUrduis a widely spoken language in South Asia. Though immoderate literature exists for theUrdulanguage still the data isn't enough to naturally process the language byNLPtechniques. Very efficient language models exist for the English language, a high resource language, butUrduand other under-
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arXiv Research
Abstract:In recent years, sentiment analysis and emotion classification are two of the most abundantly used techniques in the field of Natural Language Processing (NLP). Although sentiment analysis and emotion classification are used commonly in applications such as analyzing customer reviews, the popularity of candidates contesting in elections, and comments about v…▽ MoreIn recent years, sentime
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