Original sentence: Linguists generally draw a distinction between "count-classifiers" and "mass-classifiers".Many of these so-called verbal classifiers are derived from nouns that are related to the activity being counted; for example, the classifier  () pán for games of chess comes from  () pánzi "chessboard", and the general classifier for events,  () chǎng, also means "arena" or "field".Nominal classifiers, the most common, are further subdivided into count-classifiers and mass-classifiers, described below.There are two main types of classifiers: nominal, used for counting and classifying objects, and verbal, used for counting and classifying actions.There is also a set of measure words that allow instances of an event or action to be countable, as in  (wǒ qù-guo sān cì Běijīng, I go-PAST two-CL Beijing, "I've been to Beijing three times")
Edited sentence: Beyond these verb-only classifiers, however, the division of classifiers into "verbal" and "nominal" is controversial.For example,  (wǒ qù-guo sān cì Běijīng, I go-PAST two-CL Beijing, "I've been to Beijing three times") uses a so-called "verbal classifier".Qian Hu defines "verbal classifiers" as classifiers that "occur in a numerical noun phrase where the head noun is associated with an action", and Charles Li and Sandra Thompson's seminal Mandarin Chinese lists them as essentially the same as nominal classifiers—in all their examples for  () chǎng, a general verbal classifier that can be used for classifying any events (such as ballgames, fires, and movies), the verbal classifier is used in the same way as a nominal classifier would be.The vast majority of classifiers are those that count or classify nouns.There is a set of classifiers used only for counting actions; this set includes words such as , , , and , all of which roughly translate as "times".These are further subdivided into count-classifiers and mass-classifiers, described below.Within the set of nominal classifiers, linguists generally draw a distinction between "count-classifiers" and "mass-classifiers"