English-Punjabi Legal Domain Parallel Corpora

A high-quality bilingual dataset containing sentence-aligned English-Punjabi text pairs for the Legal domain. Supports translation, NLP, and LLM training.

About This OTS Dataset

Introduction

The English-Punjabi Legal Parallel Corpus is a high-quality bilingual dataset designed to support the development of multilingual legal language models, machine translation systems, and text-based AI tools. With over 50,000 carefully translated sentence pairs, this dataset serves as a critical resource for anyone working on cross-lingual legal technology or NLP applications in the legal field.

Dataset Content

•Volume and Translator Diversity

•Sentence Count: Over 50,000 bilingual sentence pairs

•Translator Base: More than 200 native Punjabi linguists with domain familiarity contributed to the translation process

•Dataset Origin: Built from scratch with legal use cases in mind, ensuring domain relevance and application readiness

•Sentence Variety

•Length Range: Sentences contain 7 to 25 words

•Grammatical Structures: Includes simple, compound, and complex sentences

•Form Types: Covers questions, commands, affirmations, and negations

•Voice Representation: Balanced use of active and passive sentence constructions

•Cross Translation: Dataset includes both English-to-Punjabi and Punjabi-to-English segments to ensure bidirectional support

•Linguistic Features:

•Idiomatic expressions and legal jargon

•Sentence connectors and discourse markers to preserve argument structure and legal reasoning

Legal Domain Specialization

•Legal Terminology Coverage

This dataset includes terminology across a wide range of legal subdomains such as:

•Contracts, agreements, and commercial law

•Criminal and civil litigation

•Legal procedures, rulings, and statutory interpretation

•Administrative, constitutional, and regulatory terms

•Courtroom dialogue, judgments, and legal advisories

•Contextual Diversity

Sentence pairs are drawn from realistic legal content types, including:

•Legal briefs, affidavits, and memoranda

•Terms of service and data protection policies

•Research articles and legal scholarship

•Standard forms and templates

•Legislative, policy, and compliance language

•Cross-Domain Elements

To reflect the multidisciplinary nature of legal texts, the dataset also includes content that touches on:

•Government policy

•Business and finance

•Technology, IP, and cybersecurity law

Format and Structure

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Available Formats: Delivered in Excel, with optional conversions to TMX, JSON, XML, XLIFF, or other localization formats

•Included Fields:

•Serial Number

•Unique ID

•Source Sentence and Word Count

•Target Sentence and Word Count

Use Cases and Applications

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Legal Machine Translation: Build accurate translation engines for contracts, laws, and compliance documentation

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Multilingual NLP Tools: Develop legal summarization tools, AI writing assistants, and terminology alignment engines

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Language Model Training: Fine-tune LLMs for legal use cases, including retrieval-augmented generation, clause analysis, and legal Q&A

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Cross-border LegalTech: Enable global legal platforms to support Punjabi-English clients and documentation with precision

Alignment Confidence and Quality Assurance

Every sentence pair is manually aligned and verified by expert bilingual reviewers.

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Alignment Type: One-to-one sentence alignment

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Quality Review: Human QA ensures high semantic fidelity, domain accuracy, and fluency in both languages

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Consistency Checks: Legal tone, terminology usage, and formality are maintained throughout

Tokenization and Preprocessing

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Delivery Format: Raw, untokenized sentences by default

•Optional Preprocessing Includes:

•Sentence segmentation

•Tokenization

•POS tagging

•Named Entity Recognition (NER)

•Sentence-type labeling (e.g., declarative, interrogative)

•Domain and subdomain classification

Preprocessing options can be customized as per your integration pipeline.

Secure and Ethical Collection

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Collection Platform: Entire dataset was created on FutureBeeAI’s secure data platform, Yugo

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Data Privacy: No PII or sensitive case data is included

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Security Protocol: Dataset never left our controlled environment

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IP-Safe: All content is original, with no third-party copyright concerns

Update and Customization Options

The dataset is regularly updated to include more legal subdomains and translation styles. We also support custom solutions:

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Annotation Support: POS, NER, sentiment, intent, multiple translations, clause labeling

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Subdomain Customization: e.g., labor law, family law, corporate law

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Language Pair Flexibility: Custom collection in other languages or dialects available upon request

Licensing

This dataset is developed by FutureBeeAI and is available for commercial use. Licensing packages can be tailored to enterprise, academic, or platform-specific needs.