Frequently Asked Questions
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We’ve collected our answers to the most common questions about translation and interpreting services. In our translation services faq, you will find information about schedules, rates, our process, and more.
All clients are equally important, no matter the size. Whether you are a small non-profit or a global corporation, we will tailor our services to meet your needs and exceed your expectations.
Our subject-matter experts are always there to fulfill your most demanding linguistic requirements in any field. Our dedicated team will work with you on your project to ensure its success.
The best way to get an accurate price for your language translation project is to fill up our quotation form. Once you fill it, we will give you a consultation free of cost with no obligations.
The best way to get an accurate price for your language translation project is to fill up our quotation form. Once you fill it, we will give you a consultation free of cost with no obligations.
Unlike our peers, who have moved towards automated technology to gain a competitive cost advantage and maximize profits at the cost of accuracy, we have stood by our intent to only work with highly qualified translators.
Our subject-matter experts are always there to fulfill your most demanding linguistic requirements in any field. Our dedicated team will work with you on your project to ensure its success.
Our subject-matter experts are always there to fulfill your most demanding linguistic requirements in any field. Our dedicated team will work with you on your project to ensure its success.
Our subject-matter experts are always there to fulfill your most demanding linguistic requirements in any field. Our dedicated team will work with you on your project to ensure its success.
Semantic Annotation
Tags text with semantic properties, making it understandable in a way that mirrors human interpretation. Examples include identifying entities such as proper nouns in travel articles to improve search engine results.
Syntactic Annotation
Provides tagging or logically splitting sentences to reflect grammatical structures, which benefits educational platforms and natural language processing tasks.
Bounding Box Annotation
It is essential for object recognition in machine learning to accurately detect, classify, and interact with objects in various applications. The method involves drawing rectangles around objects in images, such as tagging vehicles in urban traffic scenes for autonomous driving research or highlighting and identifying regions of interest in medical images, demonstrating its practical application.
Polygonal Annotation
Unlike bounding box annotation, Polygon involves drawing complex shapes with multiple points connected by lines to fit the object’s contours tightly. This technique is used in computer vision and machine learning to precisely label objects within an image. It allows for more accurate and detailed annotations, especially for irregularly shaped objects.
Frame-by-Frame Annotation
Another computer vision and machine learning technique are labelling objects in video sequences. This provides comprehensive data for advanced applications such as video-based surveillance or sports analytics. It lets you extract relevant insights from the video by tracking objects’ movement, behavior, and interaction over time.
Temporal Annotation
Temporal annotation enables a deeper understanding of how events and actions develop over time, and it is crucial for applications that require this understanding, such as autonomous driving, healthcare, surveillance, and entertainment.
Speech Recognition
Enhances voice-activated systems and customer service AI by annotating speech within audio clips.
Sound Event Detection
This technique identifies distinct sounds within audio streams, such as breaking glass, alarms, or footsteps.
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