183 karma · joined January 9, 2011
One problem is that peer review is essentially free for the journals, and people have to take time for it out of the other things they have to do (like teaching, or scrambling to get Yet Another Publication before the tenure review comes up, or doing the reporting to 550 external agencies). People are expected to uphold the highest standard of rigour essentially in their free time. In that sense, the current peer review leads to waste, by decreasing the efficiency of the investments originally made into other things.
People are in general much more likely to bother giving negative feedback than to give positive feedback, much less defend other people's efforts. I'm afraid such a system would be no different: would a ton of "likes" offset the negativity of a couple of arseholes wreaking havoc in the comments to make it worth it?
Tl;dr: there is a whitelist for transit visa waivers, so citizens of some countries need to apply for a transit visa in advance. However, you can apply from a waiver if you normally need a transit visa but you are going to/from the US, Canada, Australia or New Zealand. You can also get a waiver if you are resident in the US, Canada or EU/EEA, irrespective of your citizenship.
Most Schengen countries are more or less straightforward per se, though I'm not sure how his case would pan out (here in Norway, according to the immigration authority's webpage, "researchers and lecturers" are exempt from the work permit requirement, though I'm not sure how broad that category is).
Moreover, rule-based NLP approaches also have their place, and they are often the direct result of theoretical advances. A case in point is the modelling of morphophonology (which is necessary for spell checking, dictionaries and text generation for morphologically complex languages): many successful approaches are those based on finite-state machines, which could not have happened without Johnson and later Koskenniemi using them to formalize the rule-based approach pioneered by Halle and (yes) Chomsky (well, not quite, but this is still the point of reference for rule-based phonology).
(I am a theoretical phonologist, but my colleagues who do actual NLP work of this type tell me that statistical methods aren't that great for the sort of work they do.)
Dutch has over twenty million native speakers, Swedish has ten million. That is not ridiculously small. Even Norwegian's four and a half million is, on a global scale, very respectable. To say nothing of the fact that the number of "translated sources" is not a function of the number of speakers, but of the wealth of the country and the spread of written culture (which is very high in all of these cases).
This sentence is not in the passive voice.
(edit for typo)
Plus, it's fine to think that Cornell can afford it; but can a second-rank public university? It probably doesn't, it has neither the money nor the bargaining power. Which means that its academics have limited access to advances in their fields. How can that be fine?
Also, if Wales is already a country, why is independence the stated aim of Plaid Cymru :)?
These are unscientific observations on the basis of a bunch of academic conferences (which give you the opportunity of observing the same person in a public-speaking context and informally). YMMV.
* Bibliography. The median article length in our field is 30+ pages, with reference lists of 60+ not uncommon. Maintaining these in Word/OO is a nightmare, even with (non-free) bibliography software. RefTeX allows me to find and insert citations in a matter of three keystrokes, and whenever I reshuffle the reference list I'm 100% sure it's in order (i.e. everything I cite in the text is in the references and there are no uncited references)
* We don't use math, but we do use a lot of tree-like diagrams. Drawing these by hand is a chore; using logical markup to get trees which need zero to very little tuning saves enormous amounts of time and frustration.
* Floats and numbered examples. TeX floats are notoriously unreliable, but seriously, are Word's any better? And it gets worse with numbered examples (and pictures in numbered examples). For instance, a frequent feature of linguistics papers is an interlinear gloss: two or three lines of elements that have to line up with each other. These involve tables or tab stops in a word processor, and are notoriously fragile (e. g. if your sentence doesn't fit on one line, you get horrible issues with breaking lines).
All this is in addition to the common advantages like keeping track of numbering. These are all things that can be done with a word processor, but usually require significant amounts of time and self-discipline.
A lot of people in our department use LaTeX; most are not of the "programming" type, and are not deeply "into" LaTeX, interacting with the very basics and using some googling and copy-pasting. They still get much more satisfactory results in a shorter amount of time than the Word people.