What Is Technical Language Processing ?

“Technical language processing (TLP) is indeed an iterative approach for customising natural language processing (NLP) technology to engineering data while keeping a human in the loop.” TLP takes use of the technologies at its disposal to meet engineering demands while keeping available resources in mind. This research (see above) newly published in Manufacturing Letters justifies the need for TLP, articulates various Technical language processing (TLP) workflow demands, and proposes a road forward to bringing TLP to life.

In this essay, I’ll go through a few of the TLP workflow requirements discussed in this paper inside the context of proactive maintenance requirements derived from work orders.

Code Detection API

Support for barcode detection in web apps opens up a world of possibilities because to the various barcode formats that are supported. QR codes may be used for online payments, web navigation, and social media connections, while aztec codes can be used to scan boarding cards and shopping applications can compare costs of actual objects using EAN or UPC barcodes.

The detect() function is used to detect an image object, which can be an element, a Blob, ImageData, or a CanvasImageSource. To offer indications on which barcode types to detect, optional arguments can be supplied to the BarcodeDetector function Object() { [native code] }.


Following the collection of training photos, you identify the items in the photographs and define a bounding box around each one. Image tagging may be done in a variety of ways.


The labeling material is saved in a comma-separated (CSV) file entitled annotations.csv, regardless of the technique you use to label your photographs. The annotations file provides the picture file name as well as labels and coordinates for each item in the image (in JSON format). Create a Dataset From a Zip File Asynchronously has a section on Annotations.csv File Format. The first four lines of the annotations.csv file in alpine.zip are shown below.

What is an API?

A software component’s API is specified as a definition of possible interactions with it. What precisely does that imply? Consider an automobile that is a software component. Its API would give details on what it can do, such as accelerate, brake, and switch on the radio. It would also provide instructions on how to make it perform those things. To accelerate, for example, you press your foot down on the gas pedal.

When you press the accelerator pedal, the API doesn’t have to explain what occurs within the engine. As a result, if you know how to drive a car with just an internal combustion engine, you won’t have to acquire a completely new set of abilities to drive an electric automobile. The API specification, which is abstract and distinct from the automobile, brings together the what and how information.

One thing to bear in mind is that the name of some APIs might relate to both the interface protocol and the software component with which you communicate. For example, the term “Twitter API” refers not just to the set of rules for programmatically dealing with Twitter, but also to the entity with which you engage, as in “We’re performing analysis on the tweets we acquired from the Twitter API.”

How to Talk with Developers

Learning how to ask developers questions, or even simply how to communicate to them, ensures that both sides feel appreciated, heard, and capable of doing their tasks. If your company’s communication isn’t up to par, your engineers may wind up with a skewed view of your project’s vision. Then they can wind up with software or a product that doesn’t answer the problem they set out to tackle.

Good communication can also help you stay on track with your project. There may be some outstanding feature ideas that you believe would be difficult to implement but are simple for our development team to accomplish. Similarly, there may be certain adjustments you believe are straightforward to adopt that, in reality, may blow your project budget and timeframes out of proportion.

The good news is that there are techniques to improve your developer communication. To begin, ensure that you treat all messages with respect. Respectful communication may appear straightforward, but make sure developers understand how much you value their work and time. This may include assessing their workload before giving them additional jobs or ensuring you understand the scope of a new feature you’re requesting before asking them to finish it by the end of the day.

Respectful communication also entails letting them know that you recognize their importance to the success of your company. This takes very little time or effort, yet it can make a huge difference. Assuring that your staff feels respected and appreciated will go a long way toward assisting you in working together efficiently.

Second, when conveying what you want from a developer, be careful to explain why you require it. Why would this feature improve the user’s experience? To begin with, this gives developers the impression that they are part of the problem-solving process. You’re on the same team, attempting to solve a shared issue. But it also provides developers time to offer other ways of implementing a solution that might significantly lower the difficulty of implementation while maintaining quality.


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