Published online by Cambridge University Press: 28 May 2018
Introduction: The Problem, and a Possible Solution
Natural Language Data
Linguists appear to be in an enviable position among scientific disciplines. The lifeblood of science is data, and unlike, say, glaciologists, who can only collect primary material for their research in remote and generally rather inhospitable parts of the planet, or particle physicists, who require access to massive, extremely expensive, and sometimes erratic machines – with demand for access to such machines far exceeding supply – linguists are literally surrounded by the kind of data that make up the target of their investigations. It's true that field linguists need informants at a considerable distance from where they themselves live, and experimental linguists often need laboratories with elaborate and sophisticated equipment. But for syntacticians – linguists who investigate the structure of sentences, a large fraction of whom (possibly a majority) study sentences in their own respective languages – matters are as convenient as they could possibly be. Syntacticians have intuitive access to all of the sentences made available by their own knowledge of their language, as well as the speech (and reactions) of their fellows in constant use around them, and ready-made corpora in the form of written materials and electronic records, many of which are available for searches based on word sequences (Google, for example, is a valuable source of data for both syntacticians and morphologists). Learning how to take advantage of this vast pool of readily available data is a major component of syntacticians’ training.
In a sense, of course, the true data of syntax are not strings of words themselves, but judgments about the status of those strings of words. The syntactician's primary responsibility is to give an account of how it is that certain strings of words have the status of sentences, while other do not, and still others have a kind of shadowy intermediate status – not bad enough to be outright rubbish, but not good enough to pass completely unnoticed in conversation as utterly and tediously normal. For example, consider the status of the three word strings in (1):
(1) a. I asked Robin to leave the room.
b. I requested Robin to leave the room.
c. I inquired (of) Robin to leave the room.
To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Find out more about the Kindle Personal Document Service.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.