English-Tamil Political Domain Parallel Corpora

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

Category

Parallel Corpora

Volume

50K+ Corpus

Last Updated

July 2025

Number of participants

200+ people

Political domain Translated text in Tamil
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About This OTS Dataset

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Introduction

The English-Tamil Political Parallel Corpus is a specialized bilingual dataset curated to support the development of political-domain machine translation systems, large language models, and NLP tools. With more than 50,000 high-quality sentence pairs, it captures the language, nuance, and structure of political communication across English and Tamil, making it ideal for a wide range of cross-lingual political AI applications.

Dataset Content

  • •Volume and Linguistic Diversity
  • •Total Sentences: 50,000+ English-Tamil sentence pairs
  • •Translator Pool: 200+ native Tamil linguists with domain familiarity
  • •Language Style: Varied tone and register, covering both formal and informal political discourse
  • •Sentence Structure and Variety
  • •Word Range: Sentences span from 7 to 25 words
  • •Grammatical Diversity: Includes simple, compound, and complex constructions
  • •Sentence Forms: Features declarative, interrogative, imperative, affirmative, and negative statements
  • •Voice Variation: Balanced distribution of active and passive voice
  • •Bidirectional Structure: Portions of the dataset are translated both from English to Tamil and vice versa to strengthen multilingual alignment in both directions
  • •Stylistic Elements:
  • •Figurative language and idiomatic expressions
  • •Logical connectors and discourse markers
  • •Questions and rhetorical forms used in debates and public discourse

    • Domain-Specific Coverage

  • •Political Lexicon and Terminology

    • The corpus includes specialized vocabulary from subdomains such as:

  • •Governance and policy
  • •Elections and political parties
  • •Lawmaking and legislation
  • •Public opinion and political ideologies
  • •Geopolitics and diplomacy
  • •Contextual Scenarios

    • Sentences are contextually rooted in a variety of real-world political formats, including:

  • •Political speeches and debates
  • •Legislative drafts and policy briefs
  • •News reports and editorials
  • •Public statements and diplomatic notes
  • •Social media posts and civic engagement content
  • •Cross-Domain Relevance

    • To reflect the multidimensional nature of political language, the dataset also covers:

  • •International relations
  • •Human rights and social justice
  • •Economics and public policy
  • •Activism and civil society

    • Format and Structure

  • •
    Available File Types: Delivered in Excel format with optional conversions to JSON, TMX, XLIFF, XML, and other formats
  • •Fields Included:
  • •Serial Number
  • •Unique ID
  • •Source Sentence + Word Count
  • •Target Sentence + Word Count

    • Usage and Applications

  • •
    Political Machine Translation: Localize political content for government portals, international diplomacy, and media coverage
  • •
    Multilingual NLP Applications: Build political sentiment analyzers, automated fact-checkers, and summarization tools
  • •
    LLM Training: Fine-tune large language models for political domain understanding, question answering, and policy generation
  • •
    Content Moderation: Use for training models that detect political bias, misinformation, or policy stance

    • Alignment Confidence and Quality Assurance

  • •
    Manual Review: Every sentence pair has been manually reviewed and validated for alignment accuracy and semantic consistency
  • •
    Linguistic Precision: Domain-specific tone, word choice, and cultural context are carefully preserved
  • •
    Consistency Audits: Formality levels, punctuation, and terminology are standardized across batches

    • Tokenization and Preprocessing

  • •
    Raw or Processed Delivery: Dataset can be delivered in raw format or with preprocessing
  • •Preprocessing Options (upon request):
  • •Tokenization
  • •POS tagging
  • •Sentence-type classification (e.g., declarative, interrogative)
  • •Named Entity Recognition (NER)
  • •Political stance or intent labeling
  • •Subdomain tagging (e.g., electoral politics, international policy)

    • Secure and Ethical Collection

  • •
    Collection Platform: Created entirely through FutureBeeAI’s proprietary and secure platform, Yugo
  • •
    Data Privacy: No personally identifiable information (PII) included
  • •
    Security Protocol: All data was created and stored in-house with strict access control
  • •
    IP Compliance: All content is original and rights-cleared, designed specifically for dataset usage

    • Updates and Customization

    To ensure long-term value and adaptability:

  • •
    Periodic Updates: New sentence pairs, evolving terminology, and emerging political themes are regularly added
  • •Customization Options:
  • •Domain-specific corpora in other languages or dialects
  • •Annotations for specific tasks (NER, sentiment, political leaning)
  • •Categorization by topic (e.g., elections, diplomacy, protests)

    • Licensing

    This dataset is developed and maintained by FutureBeeAI and is available for commercial licensing. We also offer flexible terms for academic, governmental, or NGO use cases.

    Use Cases

    Use of parallel corpus dataset in MT Engine

    MT Engine

    Use of parallel corpus dataset in Language modeling

    Language model

    Use of parallel corpus dataset in Predictive keyboards

    Predictive keyboards

    Use of parallel corpora dataset in Spell checker

    Spell check

    Use of parallel corpus dataset in grammar correction tool

    Grammar correction

    Use of parallel corpus dataset in Text/speech system

    Text/speech systems

    Dataset Sample(s)

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    SAMPLE

    SOURCE LANGUAGE
    TARGET LANGUAGE
    Bihar Chief Minister Nitish Kumar's confirmed: No more alliance with BJP forever
    Today evening there is a meeting of ADMK MLAs in Chennai
    Congress President Election tomorrow: 4 polling centers in Sathyamurthy Bhavan, Chennai
    A.D.M.K. Golden Jubilee Anniversary: ​​Respect to MGR, Jayalalitha Statues
    Public Meetings of 51st ADMK's Annual Inaugural : Edappadi will deliver keynote speech at Namakkal on 20th
    Congress President Election: Mallikarjuna Kharge resigns from Rajya Sabha post
    Sudden visit to the headquarters: E.P.S. Emergency discussion with A.D.M.K. Administrators
    Ghulam Nabi Azad's new party is called 'Democratic Freedom Party’
    3-day hiking from Chennai to Sriperumbudur from 25th to protect Constitution: K.S. Alagiri
    DMK Nominations for internal party elections have started

    ATTRIBUTES

    Target Language :Tamil
    Source Language :English
    Domain :Political

    Dataset Details

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    Dataset Type

    Text Corpus

    Volume

    50K+ Sentences

    Media type

    Text

    Language Pair

    English-Tamil

    File Details

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    Type

    Bilingual

    Word Count

    7 to 25 Words per Asset

    Format

    XLSX, TMX, XML, XLIFF, XLS

    Annotation

    NA

    Read the License Terms
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