Types of Data:
Parallel Data (bilingual data sets used for creating machine translation systems)
Annotated Data (for Named Entity Recognition)
Positive or negative opinions in sentences
Useful for other purposes such as Classification or Keyword Identification and Extraction, which are the basis of eDiscovery.
Anonimización monolingüe o multilingüe
Customized data collection in more than 90 languages: training sets and AI tests
Pangeanic can offer large amounts of scalable data thanks to its huge repository of 10 billion aligned data segments or offer customized human-based solutions for data sets used for training AI.
With 20+ years of experience in language services, and as NLP developers since 2009, each project is carefully evaluated and a specific set of rules is created for our professional linguists to manage the data collection. All Pangeanic data is scalable, accurate and tailored to the particular needs of each client.
Types of Data for AI
Parallel Text Data for Deep Learning and Machine Learning
We provide clean, parallel segments from our large database, or as on-demand translation services. All translated data undergoes strict quality controls and checks to ensure that it is clean and valid for Machine Learning.
At Pangeanic we are used to managing large translation resources in different time zones and production peaks, and we work with more than 85 languages and combinations that do not include English (Polish-German, Spanish-Chinese, Arabic-French, among others).
Human input is key to the success of any Machine/Deep Learning project and guarantees much less noise than web translation alignment (scraping) or crowdsourcing. As developers of Machine Translation systems, we understand the effects that poor quality data can have on any algorithm, and use scalable human processes combined with our extensive experience in quality control of translation services.
Pangeanic has an entire department in charge of collecting, verifying, cleaning, gathering, augmenting and selecting Parallel Data.
Image and Video Data
Pangeanic can label image and video data in order to train object recognition systems.
We understand that any object recognition system requires large image data sets. Our engineering team will work closely with you to create compatible annotation and labeling data segmentation.
Our customized services include Image Capture and Annotation (e.g. bounding boxes, handwriting recognition and multilingual video transcription).
Sentiment Analysis tools are developed to analyze strings, documents, text snippets or social media posts to determine user sentiment/opinions. Sentiment Analysis combines Machine Learning and Natural Language Processing to achieve this.
Sentiment Analysis is a powerful Artificial Intelligence technique that has important business applications.
We can provide positive, negative and neutral human rating of content on our platform and export them so that you can build your own multilingual opinion raters.
We can combine new multilingual Audio Data and classify [label] them as positive, negative and neutral opinions. Annotation services are also available.
Automatic speech recognition systems require large amounts of high-quality audio data recorded in numerous contexts and environments. Pangeanic has the resources to provide customized audio data sets that match specific requirements such as age, accent, language, speaker profile, subject and also background noise.
As companies around the world seek to harness the potential of AI, they need to obtain data from a variety of sources to train it. Pangeanic is the perfect partner to provide you with the data that can grow and enhance your systems.
We have the right combination of experts in Data Science, Linguistics, Development and Human Resources to obtain quality data for your processes.