Parsed

The detective parsed the evidence to determine the suspect's whereabouts.

The financial analyst parsed the data to identify trends in the stock market.

The doctor parsed the patient's symptoms to determine the diagnosis.

The historian parsed the documents to uncover new information about the past.

The journalist parsed the interview to highlight the most important quotes.

The teacher parsed the text to help her students understand the meaning of difficult words.

The architect parsed the building plans to ensure they were accurate.

The politician parsed his speech carefully to avoid any misunderstandings.

The historian parsed the document to uncover new information about the time period.

The investor parsed the financial reports to make informed decisions.

The computer program parsed the data into different categories.

The chef parsed the recipe to make sure she had all the necessary ingredients.

The AI system parsed the medical records to identify patterns in the data.

The linguistics professor parsed the ancient manuscript to decipher its meaning.

The professor parsed the poem to help the students understand its underlying meaning.

The company's financial statements were parsed and analyzed by the auditors.

The journalist carefully parsed the politician's statement to uncover any hidden meanings.

The teacher parsed the complex sentence to explain its structure to the students.

The program parsed the code and found an error.

The linguist parsed the ancient manuscript and translated it into modern language.

The computer program parsed the code and identified syntax errors.

The linguist parsed the text to determine its origin.

The journalist parsed the politician's statement to understand their true meaning.

The compiler parsed the source code into executable machine code.

The text editor parsed the document to check for syntax errors.

The app developer parsed the user input to check for valid entries.

The compiler parsed the code and detected several syntax errors.

The text editor automatically parsed the data and organized it into a readable format.

The XML parser parsed the document into its constituent elements.

The web crawler parsed the website's HTML to extract relevant information.

The data analyst parsed the dataset to identify patterns.

The financial software parsed the transaction data for analysis.

The voice recognition software parsed the audio input to recognize the spoken words.

The parser program parsed the text file to generate a report.

The natural language processing algorithm parsed the text into meaningful sentences.

The email client parsed the incoming message to identify the sender and subject.

The network administrator parsed the log files to diagnose the network issue.

The email client parsed the message to separate the header from the body.

The CSV parser parsed the data into rows and columns for processing.

The search engine parsed the query into keywords to match against web pages.

The language translator parsed the sentence into individual words before translation.

The HTML parser parsed the web page into a structured document.

The chef parsed the recipe to ensure that the ingredients and instructions were accurate.

The analyst parsed the financial report to identify trends and patterns.

The analyst parsed the financial report to identify areas of improvement.

The AI system parsed the user's speech and responded appropriately.

The computer program parsed the code and identified several errors.

The historian parsed the document to uncover new information about the past.

The software program parsed the data to extract useful insights.

The engineer parsed the code to identify the bug causing the error.