English-Urdu BFSI Domain Parallel Corpora

A high-quality bilingual dataset containing sentence-aligned English-Urdu text pairs for the Banking, Financial Services, and Insurance (BFSI) domain. Supports translation, NLP, and LLM training.

About This OTS Dataset

Introduction

Welcome to the English-Urdu Bilingual Parallel Corpora dataset for the Banking, Financial Services, and Insurance(BFSI) domain. This meticulously curated dataset offers a rich collection of bilingual sentence pairs translated between English and Urdu. It serves as a valuable resource for developing domain-specific machine translation systems, language models, and NLP applications within the BFSI sector.

Dataset Content

•Volume and Diversity

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Extensive Coverage: Contains over 50,000 bilingual sentence pairs, ideal for a wide range of language processing tasks.

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Translator Diversity: Created with the help of 200+ native Urdu translators, ensuring varied linguistic styles, tone, and regional expressions.

•Sentence Diversity

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Word Count: Sentences range from 7 to 25 words, suitable for model training and evaluation.

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Syntactic Variety: Includes simple, compound, and complex sentence structures.

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Grammatical Forms: Interrogative (questions) and imperative (commands), Affirmative and negative statements, Active and passive voice constructions.

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Figurative Language: Incorporates idioms, metaphors, and colloquial expressions relevant to real-world BFSI communications.

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Discourse Features: Includes logical connectors and transitional phrases for coherent, natural language flow.

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Cross Translation: Supports bi-directional translation with content translated both from English to Urdu and Urdu to English.

Domain-Specific Content

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Specialized Terminology: Covers technical vocabulary from banking, insurance, financial services, compliance, investment, and fintech.

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Authentic Industry Language: Captures real-world usage, including expressions from customer service conversations, financial reporting, and policy documentation.

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Contextual Coverage: Draws content from scenarios such as:

•Banking transactions and statements

•Risk management reports

•Compliance policies

•Claims processing and customer support dialogs

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Cross-Domain Elements: Includes supporting vocabulary from general business, legal, and technology domains, relevant to modern BFSI operations.

Format and Structure

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File Formats: Delivered in Excel format by default, with easy conversion to JSON, TMX, XML, XLIFF, XLS, and other widely supported industry formats.

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Dataset Structure: Serial Number, Unique ID, Source Sentence and Source Word Count, Target Sentence and Target Word Count

Usage and Applications

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Machine Translation and Localization: Supports training of accurate translation models and localization systems specific to the BFSI sector.

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NLP Systems: Useful for enhancing tools such as grammar checkers, spell checkers, predictive text, and speech/text understanding engines.

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Large Language Models (LLMs): Enables fine-tuning and bilingual enhancement of LLMs for:

•Financial content generation

•Summarization of market reports

•Automated responses to customer service and compliance queries

Secure and Ethical Collection

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Built on Yugo: Entire dataset developed on FutureBeeAI’s proprietary Yugo platform.

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Data Security: Data remained within a closed, secure environment during the entire creation process.

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Privacy Compliant: Contains no personally identifiable information (PII).

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IP-Safe: All content is original and does not infringe on third-party copyrights.

Updates and Customization

To ensure continued accuracy and domain relevance, the dataset is regularly updated.

•Annotation Options:

•Part-of-speech tagging

•Named Entity Recognition (NER)

•Sentiment analysis

•Intent classification

•Translation ranking and others

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Corpus Classification: Tagging and categorization by sentence type, topic, or subdomain.

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Custom Collection: Datasets can be built for any language pair and business domain based on specific client requirements.

Licensing

This English-Urdu Bilingual Corpus for the BFSI domain is created by FutureBeeAI and is available for commercial use by organizations, researchers, and AI developers.