The Types Attitude to and Attitude Towards in the Coca and ChatGPT

Abstract

The main purpose of this paper is to compare the type attitude to and the type attitude towards in the COCA and ChatGPT. A major point of this paper is that while the type attitude to and the type attitude towards admit the same property in four genres, they induce no similarity in four genres. This in turn indicates that they are 50% the same in the so-called ranking analysis of eight genres. A point to note is that while these two types are the closest in the TV/movie genre, they are the furthest from each other in the newspaper genre.A further point to note is thatwhen it comes to the standard deviation of the type attitude to, its frequency is roughly larger than 132.5-29.438 and smaller than 132.5+29.438. Talking about the standard deviation of the type attitude towards, its frequency is roughly larger than 171.375-41.601 and smaller than 171.375+41.601. This amounts to saying that the type attitude towards is being used more frequently. When it comes to the COCA, the type attitude to and the type attitude towards have 10 collocations in common in the top 30. From this, it seems clear that they are about 33.33% the same in the top 30. Finally, it is worthwhile noting that in ChatGPT, the type attitude to and the type attitude towards have 12 collocations in common in the top 25. It can thus be inferred that they are 48% the same in the so-called collocation analysis of the top 25.