- Garden path sentence
Garden path sentences are used in
psycholinguisticsto illustrate that human beings process language one word at a time. The name refers to the saying "to be led down the garden path", meaning "to be misled". An example is:
:"The horse raced past the barn fell."
The reader usually starts to parse this as an ordinary active intransitive sentence, but stumbles when reaching the word "fell." At this point, the reader is forced to backtrack and look for other possible structures. It may take some rereading to realize that "raced past the barn" is in fact a reduced
relative clausewith a passive participle, implying that "fell" is the main verb. The correct reading is then:
:"The horse (that was raced past the barn) fell."
This sentence can be parsed in other ways as well, [A British reader accustomed to "" being a noun (meaning "mountain") may reach the end and still treat "raced" as the verb and "barn fell" as "the fell by or at the
barn". One might also repunctuate the sentence as two simple sentences: "The horse raced past. The barn fell."] but that is irrelevant to its status as a garden path sentence.
The example hinges on the ambiguity of the
lexical categoryof the word "": it can be either a past-tense verb or a passive participle. Compare with a sentence of the same structure but without lexical ambiguity:
:"The car driven past the barn crashed."
This example's status as a garden-path sentence consists in readers' or hearers' experience of pursuing one obvious-seeming parse, only to discover that it leads to an unsatisfactory (in this case an ungrammatical) result, then mentally returning (so to speak) to an earlier point in the structure and achieving a correct parse by different means. The point is not that people cannot understand it correctly the first time they hear it—that actually is possible—but rather that they so often do not do so, and so experience a double-take.
Other examples of garden path sentences are:
: "The old man the boat."::(The elderly are the crew of the boat): "The man whistling tunes pianos."::(The man who is whistling also tunes pianos): "The cotton clothing is made of grows in Mississippi."::(The cotton that clothing is made of is grown in Mississippi)
A number of jokes depend on the garden path effect, often combined with more usual
syntactic ambiguity. For instance, "Time flies like an arrow. Fruit flies like a banana." The first sentence starts the hearer firmly down the garden path, priming for a particular parsing of the second sentence which would parallel the first. The joke hinges on the ambiguities of "fruit" (independent noun or modifier of "flies"), "flies" (singular verb or plural noun), and "like" (preposition or plural verb). Unlike the above-cited sentences, however, the expected reading of the second sentence ("A piece of fruit flies through the air the same way a banana does") is grammatically possible, though silly.
What has four wheels and flies? (The answer, "a garbage truck", makes little sense until one realizes that "flies" is a noun referring to the insect rather than a verb indicating what the garbage truck does. "What has flies and four wheels?" resolves the ambiguity.)
Perhaps the best known joke of this type is, "I see, said the blind man, as he picked up his hammer and saw." This sentence could be interpreted several ways: either that the blind man is acknowledging that he understands something, while picking up his tools, a hammer and a saw - or that the blind man is somehow suddenly given the ability to visually see, after picking up his hammer. In the first interpretation, the word "saw" is a noun, while in the second, it is a verb.
Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo
List of linguistic example sentences
Natural language processing
* [http://www.psychology.uiowa.edu/faculty/hollingworth/documents/Ferreira_etal_2001.pdf Misinterpretations of Garden-Path Sentences: Implications for Models of Sentence Processing and Reanalysis (PDF)]
* [http://specgram.com/CLIII.4/08.phlogiston.cartoon.zhe.html The Trouble with NLP] : Some additional demonstrations of why these and similar examples are hard for computers to deal with when attempting
natural language processing.
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