Previous experiments have demonstrated verb bias effects only in structurally complex sentences, and have been criticized on the grounds that such effects could be due to a rapid reanalysis stage in a two-stage modular processing system. In a self-paced reading experiment and an eyetracking ...
atom is seven.he goes to school ever day.the school is near his home, so he goes there on foot and come back home on time but today he is late. hismother asks him, why are you late today 汤姆是seven.he去学校day.the学校在他的家附近,因此他徒步去那里并且准时回来在家,但今天他晚。
Examples: Negative past simple sentences Juliodid notrespondto my message. The audience membersdidn’tenjoythe performance. For the verb “be,” negative statements are formed by adding“was not/were not”(or the contractions “wasn’t/weren’t”) after thesubject. ...
Processing Chinese object-topicalization structures in simple and complex sentencesdoi:10.1515/ling-2022-0118topic structuresdependencymemoryexperienceChineseChinese has the basic word order of Subject-Verb-Object (SVO), yet it is also known as a topic-prominent language, where an object can be topic...
aThe emotions of the stubborn, it is an emotional experience on the persistence of youth, the flexible way of thinking has not yet been established, and to the understanding of objective things, there is also a bias of the features. 情感倔强,它是情绪体验在青年时期坚持,灵活的思维方式未建立,...
Periodic sentences can be especially effective because the completed thought occurs at theend of it, so the first part of the sentence can build up to the meaning that comes at the end. Beginning Sentences with "And" or "Because" Should you begin a sentence with "and" or "but" (or one...
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Layer. Short sentences and fragments are easier to scan and read. Prune every excess word. Get started For more quick techniques, check out the Top 10 tips for Microsoft style and voice. Remember that writing is a skill. If writing isn't a functional role your team has, consider bringing...
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL. - pytorch-pretrained-BERT/examples/lm_finetuning/simple_lm_finetuning.py at master · hexiang-hu/pytorch-pretr
parse(doc, doc_id=None)Parse document intoSentences Class: HTMLReader MethodNotes can_read(f) parse(f)Returns visible text in HTML file Class: TextReader MethodNotes can_read(f) parse(f)Returns all text in file Class: DocParser MethodNotes ...