Sentence examples for QA from high-quality English sources.

• An obvious question is, does a modern QA team need to care about this at all?

• Next up the team are doing QA of all the regional voices that have been generated.

• USDS has pioneered SME-QA, a promising new way to hire software developers and other experts.

• The Queenslander-style pub takes up position at the more relatable end of swanky James Street, opposite the QA Hotel, on the corner of Arthur Street.

• The Hebrew word for Qa al-Yahud, the old Jewish quarter in Sana’a, has been written back to front.

• In 1978, the CIA’s in-house journal devoted an article to critically analysing Moses as an intelligence chief, while al-Qa

• QA testing revealed a subtler problem that when switching to a new input the video takes a few tens of milliseconds to start.

• There is even one in Hebrew, for Qa al-Yahud, the old Jewish quarter in Sana’a, Yemen, where the LAD’s medieval Torah was made.

Use QA in a sentence.

• A SETI does not typically review software changes to stamp them with a QA seal of approval, nor do they write unit tests all day.

• Through her work with software testing and QA services company Testlio, she discovered that she had a knack for writing engaging copy for the tech industry.

• Version 8.3 has "literally ~1000 improvements" from the previous version, he tweeted, adding it "will take time to QA internally before release probably in two or three weeks."

• The question “why bother”—both with baking and with tillage—might have its answer if further excavations at Qa’ Shubayqa or elsewhere reveal evidence of the world’s oldest brewery.

• Jeff Wilker, engineering and QA manager at The Metal Ware Corporation (Nesco’s parent company), told us that the hard right-angled corners on these box-shaped models don’t promote even airflow.

• However, early work from the mid-1950s to around 1970 tended to be rather theory-neutral, the primary concern being the development of practical techniques for such applications as MT and simple QA.

• Text-based QA is practical to the extent that the types of questions being asked can be expected to have ready-made answers tucked away somewhere in the text corpora being accessed by the QA system.

• Quality from the point of view of the traditional QA team has continued to mean sitting in front of an application’s user interface (or using Selenium) and trying various combinations of inputs to cause an error condition.

QA sentence examples

• The Guardian QA team have spoken in previous blog posts about how the development practices of our Digital department have changed over the last few years, and how this has required the Quality team to take some new approaches to tackle the challenges of software quality.

• DB: That's fantastic, and I just want to call out for the audience, speaking of the "why," on your Zoom, if you click, there should be a bottom bar on your desktop, and if you click on "QA" and that's where you can submit questions and then we'll be going through them at the end of the chat.

• We have noted certain limited inferential capabilities in text-based QA systems and NL front ends for databases, such as the ability to confirm entailment relations between candidate answers and questions, using simple sorts of semantic relations among the terms involved, and the ability to sort or categorize data sets from databases and compute averages or even create statistical charts.

• Some of the most prominent are: efficient text retrieval on some desired topic; effective machine translation (MT); question answering (QA), ranging from simple factual questions to ones requiring inference and descriptive or discursive answers (perhaps with justifications); text summarization; analysis of texts or spoken language for topic, sentiment, or other psychological attributes; dialogue agents for accomplishing particular tasks (purchases, technical trouble shooting, trip planning, schedule maintenance, medical advising, etc.); and ultimately, creation of computational systems with human-like competency in dialogue, in acquiring language, and in gaining knowledge from text.