2024年職稱英語(yǔ)真題理工類B級(jí)：概括大意與完成句子
2024年全國(guó)職稱英語(yǔ)考試于3月28日(9：00-11：00)舉行。針對(duì)考后考生最關(guān)注的2024職稱英語(yǔ)考試真題及答案解析問(wèn)題，英語(yǔ)網(wǎng)在考后第一時(shí)間為您整理發(fā)布2024職稱英語(yǔ)考試真題及答案解析：理工類。預(yù)祝各位考生順利通過(guò)2024職稱英語(yǔ)考試!
下面的短文后有2項(xiàng)測(cè)試任務(wù)：（1）第2326題要求從所給的6個(gè)選項(xiàng)中為指定段落每段選擇1個(gè)標(biāo)題；（2）第2730題要求從所給的6個(gè)選項(xiàng)中為每個(gè)句子確定一個(gè)最佳選項(xiàng)。（第2330題，每題1分，共8分）
First Image-recognitions software
1）Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.
2）The new system,witch was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（運(yùn)算法則）for image recognition and retrieval is accurate and efficienti enough to improve large-scale document searches online.The system uses pixel（像素）data in images and potentially videorather than just textto locate documents.It learns to recognize the pixels associatedwith a search phrase by studying the results from text-based image search engines.The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（圖片說(shuō)明），making for more accurate document search results.
3）Over the last 30 years,says Associate Professor Korenzo Torresani,a co-author of the study,the web has evolved from a small collection of mostly text documents to a modern,massive,fast-growing multimedia datastet,where nearly every page includes multiple pictures of videos.When a person looks at a Web page,he immediately get the gist（主旨）of it by looking at the pictures in it.Yet,sruprisingly,all existing popular search engine,such as Google or Bing,strip away the information contained in the photos and use exclusively the text of Wed pages to perform the document retrieval.Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search
4）The researchers designed and tested a machine vision systema type of artificialintelligence that allows computers to learn without being explicitly programmedthat extracts semantic（語(yǔ)義的）information from pixels of photos in Web pages.This informationg is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查詢）on a database of 50 million Wed pages.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found tht this produced a 30 percent improvement in precision over the original search engine purely based on text.
23.Paragraph 1 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
24.Paragraph 2 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
25.Paragraph 3 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
26.Paragraph 4 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
27.The new system does document retrieval by _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
28.The new system is expected to improve precision in _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
29.When performing document retrieval the existing search engines ignore _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
30.The new system was found more effective in document search than the _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
2024年全國(guó)職稱英語(yǔ)考試于3月28日(9：00-11：00)舉行。針對(duì)考后考生最關(guān)注的2024職稱英語(yǔ)考試真題及答案解析問(wèn)題，英語(yǔ)網(wǎng)在考后第一時(shí)間為您整理發(fā)布2024職稱英語(yǔ)考試真題及答案解析：理工類。預(yù)祝各位考生順利通過(guò)2024職稱英語(yǔ)考試!
下面的短文后有2項(xiàng)測(cè)試任務(wù)：（1）第2326題要求從所給的6個(gè)選項(xiàng)中為指定段落每段選擇1個(gè)標(biāo)題；（2）第2730題要求從所給的6個(gè)選項(xiàng)中為每個(gè)句子確定一個(gè)最佳選項(xiàng)。（第2330題，每題1分，共8分）
First Image-recognitions software
1）Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.
2）The new system,witch was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（運(yùn)算法則）for image recognition and retrieval is accurate and efficienti enough to improve large-scale document searches online.The system uses pixel（像素）data in images and potentially videorather than just textto locate documents.It learns to recognize the pixels associatedwith a search phrase by studying the results from text-based image search engines.The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（圖片說(shuō)明），making for more accurate document search results.
3）Over the last 30 years,says Associate Professor Korenzo Torresani,a co-author of the study,the web has evolved from a small collection of mostly text documents to a modern,massive,fast-growing multimedia datastet,where nearly every page includes multiple pictures of videos.When a person looks at a Web page,he immediately get the gist（主旨）of it by looking at the pictures in it.Yet,sruprisingly,all existing popular search engine,such as Google or Bing,strip away the information contained in the photos and use exclusively the text of Wed pages to perform the document retrieval.Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search
4）The researchers designed and tested a machine vision systema type of artificialintelligence that allows computers to learn without being explicitly programmedthat extracts semantic（語(yǔ)義的）information from pixels of photos in Web pages.This informationg is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查詢）on a database of 50 million Wed pages.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found tht this produced a 30 percent improvement in precision over the original search engine purely based on text.
23.Paragraph 1 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
24.Paragraph 2 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
25.Paragraph 3 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
26.Paragraph 4 _____
A.Popularity of the new system
B.Publication of the new discovery
C.Function of the new system
D.Artificial intelligence software created
E.Problems of the existing search engines
F.Improvementi in document retrieval
27.The new system does document retrieval by _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
28.The new system is expected to improve precision in _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
29.When performing document retrieval the existing search engines ignore _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
30.The new system was found more effective in document search than the _____.
A.information in images
B.current popular search engines
C.using photos
D.machine vision systems
E.document search
F.description of the HTML page
