In the evolving field of artificial intelligence, access to large volumes of high-quality data is essential, particularly for applications like neural machine translation and language model training. SmartBiC (Smart Bilingual Corpora), is an innovative tool developed by Linguaserve in partnership with Prompsit and the Polytechnic University of Madrid, designed to transform the creation and optimization of bilingual corpora.
The Challenge: Quality Data in All Languages
A major hurdle in developing machine translation models is the availability of sufficient, well-aligned, and relevant data. Too often, existing corpora are low quality, not suited to less common languages, or are overly generic. SmartBiC tackles this challenge by focusing on acquiring data that is both domain-specific and language-specific.
What is SmartBiC?
SmartBiC is an advanced technology solution for identifying, gathering, and cleaning bilingual data from the internet. It’s designed to enhance the quality of corpora used in neural machine translation (NMT) and tailor large-scale language models (LLMs), with a particular emphasis on underrepresented languages and specialized domains.
Key Features of SmartBiC
1. Smart Crawler: Intelligent Web Crawling
Smart Crawler improves on traditional crawlers by targeting specific language combinations and domains. It can crawl content in over 40 languages, identifying relevant materials based on keywords, entities, URLs, and reference documents. This enables the generation of high-quality data, even for less-represented languages on the web.
2. Smart Selector: Targeted Data Selection
This component identifies and selects the most relevant datasets, whether from previous crawls or generic corpora. Smart Selector enables the creation of training materials for custom translation engines, tailored to specific domains, ensuring maximum relevance and efficiency.
3. Smart Cleaner: Advanced Data Cleansing
Smart Cleaner uses targeted rules and specialized language models to filter and refine data. From removing noise to correcting tokenization and segmentation issues, this tool ensures that only the most precise and valuable data is used for training models.
4. Intelligent Data Management
SmartBiC excels at managing and processing large datasets. It can merge, split, align, and filter corpora across multiple formats, simplifying the preparation of custom data for different projects and business needs.
Practical Applications
SmartBiC is designed as a versatile tool with various applications, including:
- Specialized NMT Engine Training: It provides targeted data for underrepresented languages and domains, such as English-to-Spanish translation or generating corpora for specialized fields like ecology and sustainability.
- SEO Optimization and Terminology Extraction: Its capability to crawl websites based on specific keywords enables the creation of reference materials that enhance term search and improve search engine rankings.
- Comprehensive Data Cleaning: SmartBiC offers thorough cleaning of internal and external materials for language service providers and businesses, ensuring the removal of irrelevant or low-quality data.
The Future of SmartBiC
With a commercial launch anticipated in 2025, SmartBiC is set for ongoing development. Key future challenges include integrating new languages, analyzing larger text units, and improving scalability and technical performance.
In summary, SmartBiC meets the increasing demand for clean, aligned, and domain-specific data for machine translation and deep learning. This innovative tool not only streamlines access to high-quality multilingual data but also optimizes its application in industrial contexts, representing a significant advancement in the training and customization of translation engines and language models.
