"token part" can be a correct and usable phrase in written English.
It is typically used to refer to a specific portion or segment of a sentence that carries a particular meaning or significance. This could be a single word, a phrase, or a clause. Example: "The first token part of the sentence clearly states the main idea, while the second token part provides supporting evidence."
The remark sounded suspiciously as if the Modern's officials anticipate going through this belated architectural and public relations exercise only to tear down the building anyway, except perhaps a token part of it.
This defect, aggravated by an inability to function without glasses, prevented him from taking more than a token part in those team sports (basketball, baseball) that were the main occupation of most of the boys who might have been his friends.
The armed Basque separatist group Eta has put beyond use a token part of its arsenal in a move verified by international mediators who said they were confident this was a first step to complete disarmament by a terrorist organisation that has killed more than 800 people.
Powell offered the example (set out in an appendix) of the admissions program at Harvard University as one he believed would pass constitutional muster that institution did not set rigid quotas for minorities, but actively recruited them and sought to include them as more than a token part of a racially and culturally diverse student body.
From left to right: Token-Token, Metonymy part for whole, Compl.
Examples include linguistic features such as tokens, part-of-speech tags and noun phrases.
The BioC annotation approach allows many different annotations to be represented, including sentences, tokens, parts of speech and named entities such as genes or diseases.
The proposed annotation approach allows a large number of different annotations to be represented including sentences, tokens, parts of speech, named entities such as genes or diseases and relationships between named entities.
The proposed annotation approach allows a large number of different annotations to be represented including sentences, tokens, parts of speech, named entities such as genes or diseases and relationships between named entities (19).
A Python natural language analysis package that provides implementations of fast neural network models for tokenization, multi-word token expansion, part-of-speech and morphological features tagging, lemmatization and dependency parsing using the Universal Depdnencies formalism.
The demise of the token is part of the end of an era of everyday objects.
