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Pos
"Pos" in a Sentence (18 examples)
I'm not absolutely pos on that, sir.
Eight POSs are defined in traditional English grammar: noun, verb, adjective, adverb, pronoun, preposition, conjunction, and interjection.
To include part-of-speech (POS) information, the corpus was tagged using the CLAWS tagger.
Unlimited technology from the whole universe, and we cruise 'round in a Ford P.O.S.
Everything you lost was because you are a P.O.S,^([sic]) […]
I told him he is a POS for saying that to me (what a terrible thing to say to my husband! I am just as guilty sometimes for saying hurtful things), and how dare he try and hurt me in such a cruel way, telling me he hates me and wishing he could tell me he was unfaithful!
And you act in ways that make it right (i.e., voice says you’re a P.O.S., which makes you want the drugs, which makes you act selfishly, which gives you reason to feel like a P.O.S., which makes you want the drugs), because you don’t know what kind of person you’d be if you weren’t listening to this squawk, and you don’t know what else to do.
There have been many times I’ve had to keep my mouth shut due to fear of something like this happening. I have been called a ‘hateful racist POS [piece of shit].’
Hang on, POS ... can you tell me about it later?
It should be noted that there is not always a perfect match between the logically possible systems displayed above and the PoS systems actually encountered in the sample languages. As the data in the next sub-section will show, languages may display an additional PoS class from a ‘neighboring’ system (i.e. the one represented above or below it), or they may display additional closed or derived classes of rigid lexemes.
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Consequently, a good PoS tagger should be able to reach a degree of precision which goes beyond the superficial level of Noun/Verb/Adjective/Adverb/Grammar words.
In a second step, each word is automatically attributed a certain part-of-speech category, such as noun, verb and alike, which is best illustrated by an example given in Fig. 4.1. […] A LCCRF can be used to predict a certain label sequence (the PoS tags) y* = {y₁, y₂,…,y_L} given a certain input word sequence w = {w₁, w₂,…,w_L} that maximizes the conditional probability p(y|w).
The PoS tag of the word ‘live’ leads to drastic differences in its pronunciation (/liv/ when used as a verb and /lahyv/ when used as an adverb or adjective). The PoS tagger can be a simple rule-based system Brill (1992), a data-driven technique (Brants 2000) or a hybrid approach. There are also a few standard corpora that contain word-PoS pairs.
In PoS tagging, the sentences in the data set collection are tokenized using the PoS tagger. During this process, a part of speech such as noun, verb, adverb, adjective, conjunctions, negations and the like are assigned to every word in the sentences.
Much less is still known about relationships between different parts of speech (PoSs) along the developmental course and their role in the acquisition of discourse skills. […] The acquisition of PoSs means “…knowing how to use the word in the language.[…]”
The good news is that language scholars have long studied PoS across the humanities, mainly by reading literature and producing helpful guidance and rules that convey the particular PoS class a word can take on. […] The Moby effort contains the file mobypos.txt, which is a database of words in English and the PoSes they can take.
The PoS tagger in the preceding script uses the Penn Treebank Project PoS tag set. It is a standardized set of tags consisting of 36 different PoS tags.
For the purposes of this analysis, coordinated CIs have been dectected^([sic]) through a PoS-based query which included the PoS-grams patterns and the coordinating conjunction e ‘and’: e.g. [Adjective + e + Adjective], [Past participle + e + Adjective/Past participle].
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