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Linguistics Meets Linux: A Review of Morphix-NLP

Emre Sevinc writes "Zhang Le, a Chinese scientist working on Natural Language Processing has decided to pack the most important language analysis and processing applications into a single bootable CD: Morphix-NLP. More than 640 MB of NLP specific software is included and there's still a lot of place on the CD which uses a compressed filesystem for bringing us the best of both worlds."

40 of 186 comments (clear)

  1. Ironic.. by grub · · Score: 5, Funny


    All this language processing packed onto a single CD yet /. can't run a spellchecker... :)

    --
    Trolling is a art,
  2. Noooo by lakeland · · Score: 4, Funny

    I was in the process of downloading this already. Damn you slashdot!

    1. Re:Noooo by FooAtWFU · · Score: 2, Informative

      Should have used BitTorrent. Then it'd be "I was in the process of downloading this already. Yay for Slashdot!!!"

      --
      The World Wide Web is dying. Soon, we shall have only the Internet.
  3. that's pretty cool by homerjs42 · · Score: 3, Insightful
    This is a pretty cool thing. It seems like the kind of thing that would be of great use to anthropologists or others translating from a language that is more or less unknown. By unknown, I mean not used commonly outside of its people group, and probably unwritten.
    Neat.

    --dw

    1. Re:that's pretty cool by belmolis · · Score: 5, Interesting

      Actually, not very many anthropologists these days do much linguistic work. That's partly because linguistics has developed as a separate field and partly because cultural anthropology was largely taken over by Postmodernists, as a result of which it has nearly died. Most research on "exotic" languages these days is done either by linguists or by missionaries (who want to translate the New Testament).

      I am a linguist and have done extensive fieldwork, mostly on Carrier, the native language of a large region of northern British Columbia. (I also hack a little. Once upon a time I wrote the head-final shell mentioned in Charles Dodgson's comment.) Software is increasingly used for this kind of work, but for the most part it is not the sort of NLP software provided on the Morphix-NLP CD. A lot of that software is useful primarily if you've got a large corpus to work with, and it often presupposes that some basic resources exist, such as a lexicon, or at least a wordlist with part of speech information. For many languages even basic resources such as a lexicon don't exist or aren't available in electronic form, and when you're dealing with really small languages, there aren't any ready-made corpora, such as news text. If you want a text corpus, you've got to make it yourself, usually by recording people telling stories or whatever, and transcribing it. This is an important part of fieldwork, but its incredibly slow and tedious.

      There are some tools designed specifically for this kind of linguistic research. One is Transcriber, a tool that assists a human being in transcribing audio recordings. One of the older tools is Shoebox a dictionary database program for field linguists, originally written to run under DOS.

      Some of us have used Unix tools to extract and process information, e.g. grep to do regular expression searches. Ken Church at Bell Labs used to give a tutorial "Unix for Poets" on how to use Unix tools for linguistics. Here is his handout. For example, I've produced dictionaries of several dialects of Carrier using scripts written mostly in AWK plus the usual Unix tools, controlled by elaborate Makefiles. Some of us also use emacs a lot, not only as an editor but for doing searches. If you're interested in what kinds of software are of interest to linguists, you might check out the Computational Resources for Linguistic Research page.

      It is worth mentioning that spread of the internet has made available a lot of useful material for linguistic research. There are now quite a few languages for which you can obtain a good chunk of text (say at least 100K words), and often you can find parallel text (that is, the language you're interested in plus a translation into English or another language that is useful to you). But this works mostly for relatively big languages, that is, say, languages with a million or more speakers. There are around 340 such languages, depending on how you count, about 2% of the world's oral languages.

      One topic that concerns some of us is how software and other technology can speed up the process of documenting dying languages. Languages are rapidly become extinct - some experts estimate that as many as 90% of the languages currently spoken will be extinct in 100 years. [Computer languages may be proliferating at the same rate.:)] The late Ken Hale had seven languages die on him. If we don't find a way to speed up the documentation, or slow down the rate of extinction, most of those languages are going to die without very much being known about them.

  4. Great... by Anonymous Coward · · Score: 2, Funny

    This means that GCC will have to be expanded to be expanded to support all human languages as well as programming languages...

    1. Re:Great... by lakeland · · Score: 5, Funny

      Actually, I saw someone working on something like parsing english as a programming language, try a Google for 'controlled english' sometime. The general idea is that management may not be able to write the specifications, but they can read them and tell you it isn't what they're really after _before_ you code the thing.

    2. Re:Great... by lakeland · · Score: 2, Interesting

      You can get such lists pretty easily without having to type them in. Just looking up the most frequently used POS for that word gives almost 90% accuracy. Alternatively I wrote a program that automatically predicts the POS for new words.

      However, your BNF grammer is likely to come unstuck as soon as you try to parse either casual english or moderately complex english. Either one very quickly leads to adding lots of infrequently used grammar rules, and hence lots of ambiguity in even simple sentences.

      The idea of controlled english was to create a useful subset of english that does conform to a BNF grammar (or LL(1), or something, I forget). Writing in it turns out to be quite hard -- very easy to forget you're writing in a programming language. But there is at least one english controlled english machine-assisted translator.

      Given a few years, I wouldn't be surprised to see a program like that be the basis of the next big thing in programming languages.

    3. Re:Great... by millette · · Score: 3, Interesting

      I guess this would interest you too. BTW, have you read "Le Ton Beau de Marot" by Hofstadter?

      In 1977, Xerox adopted Systran for internal translations by creating a Multinational Customized English that's easier to translate. [1]

      In 1930, C.K. Ogden proposed a tiny version of English: just 850 words that could be learned in a few months and used to say anything. He called it Basic English (BE). [2] [3]

      1. basic english
      2. machine translation
      3. xerox systran
  5. So this means by YoungBonzi · · Score: 3, Funny

    Maxis will have The Sims actually talking, instead of looking "special".

  6. Anyone remember Forum 2000? by Stile+65 · · Score: 2, Interesting

    Does anyone remember Forum 2000 (link does not actually work)? It's got some neat technology behind it. And the conversations between surfers and the SOMADs was hilarious. When I first saw the site, I thought it was actual people imitating the different characters. Does anyone know what happened to the site and why it no longer functions? I miss it.

    --
    I claim first use of "Error No. 0B" - or "No. 0B error." It'll be the new ID 10T!
    1. Re:Anyone remember Forum 2000? by Anonymous Coward · · Score: 4, Informative

      New version? Got this after some googling
      http://www.forum2010.org/

    2. Re:Anyone remember Forum 2000? by generic-man · · Score: 3, Informative

      There was a brief time when they were Forum 3000, but the domain has fallen into the hands of domain squatters.

      Forum 2000 and 3000 died mainly because the people who ran them got bored and/or wanted to work on their graduate theses. It sure was fun to play with the Zephyr interface while it lasted, though. :)

      I wonder whether Forum 2010 is run by the same folks. I doubt it since Forum 2000 and 3000 were both Carnegie Mellon projects, and forum2010.org is registered to someone in St. Louis.

      --
      For more information, click here.
  7. Re:Good Chinese Compression by MoThugz · · Score: 5, Funny

    If you want to play the typical stereotype... please at least get it right.

    It's the Japanese who has problems pronouncing L's... and the Chinese have problems pronouncing R's.

    The Westerners on the other hand, can pronounce almost anything, but will never ever get facts right :)

  8. Why Linux is great for doing applied linguistics? by dark-br · · Score: 4, Informative


    This page has some reasons.

  9. It's actually useless for that by scheme · · Score: 4, Interesting
    This is a pretty cool thing. It seems like the kind of thing that would be of great use to anthropologists or others translating from a language that is more or less unknown. By unknown, I mean not used commonly outside of its people group, and probably unwritten. Neat.

    Actually, this software seems like it would totally useless for that purpose. The software was developed and has a bunch of heuristics and domain knowledge put in by experts in english or the relevant language. Without similar expertise, the software can't be adapted to a new language. The software isn't a universal translator.

    So your hypothetical anthropologists or translators would still need to spend time and learn the language in question.

    --
    "When you sit with a nice girl for two hours, it seems like two minutes. When you sit on a hot stove for two minutes, it
    1. Re:It's actually useless for that by Anonymous Coward · · Score: 4, Informative

      While right on this probably not being of much help to the typical anthropologist, it's not at all true that most of the software has lots of built in domain knowledge.

      At least half the tools are general purpose applications for constructing various kinds of models, whether they be trees or HMMs or n-gram models or entropy models.

      Believe it or not a lot of NLP work gets done on understanding algorithms that apply broadly across languages.

      There is some English specific stuff on the CD, but most of it isn't.

      The only software

  10. actualy by DrLZRDMN · · Score: 2, Funny

    no states have laws like that, this summer Texas ditched theres, they were the last to do so
    stiff sodomy laws? theres a joke in there somewhere...

  11. Download Link by Hal+The+Computer · · Score: 3, Informative

    Here is where you can go to download the .iso image .
    Try not to kill their site. If someone has downloaded it, it would be nice of them to post a .torrent on Slashdot.

    --

    int main(void){int x=01232;while(malloc(x));return x;}
  12. Chomsky and stuff by Saint+Stephen · · Score: 2, Interesting

    This article is about linguistics, and he said "go read Chomsky", so I went and read Chomsky's bibliography. What I'm about to say applies to all modern philosophers and mathematicians:

    God damn, them are some fancy-schmancy sounding titles! Does anybody ever get the feeling sometimes that maybe things are simpler than our smartest people currently make them out to be? If you can't talk as simple as I'm talking now, you ain't really "nailed it."

    The reason I think this is true: back when all mathematicians only had Roman Numerals, the process for explaining how to multiple 3-digit numbers was extremely opaque, and it was nearly impossible to describe how to do long division. Now we can teach 3rd/4th graders how to do it before they watch "Barney".

    I saw some links about all the math they never teach anymore (compound arithmatic, like pounds shillings pence comes to mind). I think something similar will be the case in 1000 years with everything Chomsky and any arbitrary math guy says: they just haven't thought about how to say it simply yet. Life just *ain't* that complicated (if you have the right way to think.)

    1. Re:Chomsky and stuff by idlemachine · · Score: 2, Insightful

      I both agree and disagree: life *is* that complicated, we just haven't yet come up with workable abstractions for a lot of things that allow us to handle them in the simplified manner you're asking for.

      What you're seeing here is the process by which that happens. Chomsky especially is someone whom I don't consider to want to "make [things] out" to be more complicated than they are; on the contrary, he seems to be more about wanting to understand the *true* process that is at work, not the pre-accepted social fiction that we might currently use as an explanation.

    2. Re:Chomsky and stuff by monecky · · Score: 5, Interesting

      I'm a programmer getting my masters in linguistics. Computer Science undergrad. Trust me. This is some tough stuff... until you learn the basics. Then everything starts making sense. There is a huge hurdle getting into any field... and it is usually because of the terminology. Every field has it's own terminology because every field needs to be extremely precise in their explanations.

      Linguists don't think Knuth is very lucid.

      Linguistics is neat. Syntax (the study of the structure of language), Phonology (the study of the interactions of sounds and what a child has to actually 'learn'), Phonetics (the study of the human language system and the sounds that it can produce/hear), and Morphology (the study of the smallest possible unit that holds 'meaning') all work together to form an idea of what goes on in the human mind.

      --
      http://jones.ling.indiana.edu/~prrodrig
    3. Re:Chomsky and stuff by kramer2718 · · Score: 4, Interesting

      Well, I'll answer your questions both in respect to NLP, and also more generally.

      First of all, most practical NLP techniques aren't *that* complicated simply because they must be able to be computed quickly. There are quite a few statistical hacks prevalent

      Most NLP techniques use probabilistic variants of two models finite automata and pushdown automata (both models are actually pretty simple, but if you don't know what they are, they may sound complicated).

      Finite automata consume input and transition to different states (a finite number of them) based on that input. They can also be interpretted as generating output instead of consuming input.

      Push down automata are almost the same except that they have a stack that they can push symbols onto. Another name for push down automata are Context Free Grammars.

      As I said above, most NLP techniques use probabilistic variants of and small extensions to these two concepts.

      The reason that Markov models (probabilistic finite automata) work so well to model speech is because they are flexible, simple, and linear just like speech. The reason that CFGs work so well to model language is that they are flexible, and hierarchical, and so can capture the recursive nature of language (think about "the man who killed the horse who killed the dog who...").

      Having said all of that, I don't think that these models capture the way that humans process language/speech. I think that neural networks have the potential to capture this better. They just aren't mature enough. We also don't really have a good architecture to run neural networks. A human brain has about 10^14 neurons (within a couple of orders of magnitude) that run in parallel. Try simulating that on todays serial architectures, and you'll run into problems.
      So my hypothesis is that there is probably some inherently simple learning algorithm for neural networks that we just don't know yet that will help solve many different types of problems (there is some biological evidence of there being a single learning algorithm implemented in the brain).

      So yes, there is likely a simpler answer, but until we know it, we have to use heuristics and statistical hacks in order to build systems that work.

      As to science in general, the reason it all sounds complicated is twofold:

      First things interect in a very chaotic way. Even if the interactions are simple, when you compose many very small interactions, you find complex behavior.

      Secondly, even if the interactions are actually simple, we humans with our Neutonian intuitions have a hard time understanding non-Neutonian interactions.

      Hope that helped.

    4. Re:Chomsky and stuff by monecky · · Score: 4, Informative

      There is no talk of linguistics complete without mentioning Chomsky's political diatribes. :)

      He pretty much defined linguistic theory for the past 40 years. Once he had a voice he turned into somewhat of a political critic. A conspiracy-theorist. I don't see him solving any political problems, and I don't know how well respected he is by those who study such things, but I think he's a loon. (But, oh god, I wish I could study with him. :) )

      Chomsky's papers are tough to comprehend for beginners. (Which I am.) Those who are interested in learning Chomskian theory may wish to pick up some Andrew Radford. (he is very understandable, and his book "Transformational Grammar" is aimed at the undergraduate level syntax class. Once you tackle that, you can read Haegemann, "Government and Binding," which seems to be the most used graduate level book... but this one is quite boring.)

      In the meantime, a linguistic glossary which may help you get through some of the papers you may find: http://tristram.let.uu.nl/UiL-OTS/Lexicon/

      --
      http://jones.ling.indiana.edu/~prrodrig
    5. Re:Chomsky and stuff by dido · · Score: 2, Informative

      Actually, Chomsky (or one of his contemporaries anyhow) discovered early on that almost no natural language can be represented solely by regular languages, or even context-free languages. Chomsky initially even tried to use unrestricted/semi-Thue grammars to represent natural languages, but realized just as quickly that this HUGE class of languages is much, much too big (in fact, it's actually Turing complete, and only useful to those doing research in the theory of computation, not the theory behind human language). That left the context-sensitive languages in the original Chomsky hierarchy, but even those languages were found to be much too general, and the most general simulators for linear bounded automata needed to process CSL's apparently requires exponential time to operate. Current research in computational linguistics these days seems to concentrate on classes of languages between CFL's and CSL's, formal languages which are "mildly" context sensitive to characterize human languages. One example is the tree-adjunct grammars (which also incidentally have been found to characterize RNA secondary structures very well, and are of great use in bioinformatics). There are a few other models out there which I researched while making a writeup on the Chomsky hierarchy for E2, but unfortunately E2 is still down... :(

      Apparently computational linguistics is taking the same course that most other fields in artificial intelligence have taken lately. One camp takes the formal symbol manipulation approach (the original Chomsky theory and its descendants), and the other camp includes more recent approaches based on neural nets, fuzzy logic, genetic algorithms, and so forth, which are more grounded in biology rather than abstract mathematics. Sorta like the traditional SMPA robotics vs. Dr. Brooks' behavioral robotics.

      --
      Qu'on me donne six lignes écrites de la main du plus honnête homme, j'y trouverai de quoi le faire pendre.
  13. Omission of Gate by use_compress · · Score: 2, Informative

    I was surprised to read that GATE was not listed in the package list. It's the best piece of software to tie together the descrete components that were included. Another complaint is that are a lot of so-so implimentations of very good algorithms. (#define NOT_FLAMEBAIT = 1) I suppose that you have to turn to corporate software to get the really robust implimentations and to free software when you want the cutting edge.

  14. Forum2000 is dead. Long live Forum 2010! by Neuracnu+Coyote · · Score: 3, Informative

    I wonder whether Forum 2010 is run by the same folks. I doubt it since Forum 2000 and 3000 were both Carnegie Mellon projects, and forum2010.org is registered to someone in St. Louis.

    That's me, actually. You can't expect hundreds slashdot geeks suddenly slamming my site and having me not notice. ];-)

    Forum 2010 had, in fact, nothing to do with the great fellows at Forum2k/3k aside from inspiration. And, just to end the rumors, I built the F2.01k matrix and all my own SOMADs as a senior project for my Comp Sci degree at Fontbonne University.

    Now, I'm late for a date! Please don't destroy the matrix while I'm gone!

    --
    --
  15. Memories by gidds · · Score: 2, Interesting

    I remember when I was first let loose on a Unix system, and discovered tools like 'lex' and 'yacc' for lexical analysis and parsing. I was amazed that advanced language processing was so well supported - it was a short while before I discovered that they weren't for natural language processing :)

    --

    Ceterum censeo subscriptionem esse delendam.

  16. Re:Good Chinese Compression by log2.0 · · Score: 2, Insightful

    I would say that westeners can not pronounce simple Chinese.

    English is the only language I know but I studied Mandarin chinese for a few years.

    There are all sorts of things in there that we have a lot of trouble pronouncing.

    --
    Can your karma go above being Excellent?
  17. Natural languages useful for spam filters? by joelparker · · Score: 2, Insightful
    Can anyone here comment on if/how
    any of these natural language tools
    can be helpful for spam filtering?

    Cheers, Joel

    1. Re:Natural languages useful for spam filters? by INT+21h · · Score: 2, Interesting

      Lets see... if it had a good language guesser that could be fit into a plugin then we could toss all messages in languages we can't read (or see no use for), for instance all messages I get that are in English are either from some mailinglist, or spam. I've actually been working on a "spot English"-plugin to use on the mail that isn't automatically shunted into the mailinglist-folders, but if the work is already done, yay!

      You might think that looking at the charset used would be enough but 'taint so! Frequency of letters isn't good enough either, two good ways is checking for the most frequent words or the most frequent letter trigrams. If you want to know more, see if you can find the paper "Comparing two language identification schemes" by Gregory Grefenstette. It used to be openly hosted at xerox but now the server is gone.

  18. The base Morphix by unmadindu · · Score: 2, Informative

    I have been using the base Morphix system for a Bengali l10n Live CD project (which was mentioned at slashdot a few days back). I am really amazed by its capabilities - if you want to have a LiveCD of your own - this is probably the best starting point.
    For documentation, you may want to have a look at the Morphix Wiki.

  19. Slashborging by PurpleBob · · Score: 2, Funny

    Wow. That's the first slashborging ("All Slashdotters should have the same opinions! Be consistent, dammit!") post I've seen in a long time.

    Even though they're stupid as hell, I was beginning to miss them.

    --
    Win dain a lotica, en vai tu ri silota
  20. There is a downside to Natural Language Processing by Anonymous Coward · · Score: 2, Interesting

    While NLP has many benefits, it can also freeze certain linguistic elements that should be removed or amended.

    As a simple example, take spell checking. When the computer can remember the spelling for every word and fix it automatically, who is going to worry about spelling simplification or reform? Yet changing to a standardized phonetic spelling would probably help people in the long run, if only by allowing children time to actually *write* rather than spending time in rote memorization and spelling bees.

    The same holds true for grammar. Program existing grammatical rules -- in all of their illogical complexity -- into computers, and you reduce the incentive to simplify and improve such rules. If we had continued to use Roman numerals until the advent of handheld calculators, would there be as much incentive for using Arabic numerals? And yet, without zero and the simplicity of the latter, mathematics would be far poorer for it today. And if computers can soon parse logographic languages like Chinese, will it prevent simplification or even conversion to a (arguably better) phonetic alphabet?

    NLP is important, granted, and will help more than it hurts, but it is important to realize that it has some potential drawbacks.

  21. Do you honestly believe that? by Kjella · · Score: 2, Interesting

    The reason I think this is true: back when all mathematicians only had Roman Numerals, the process for explaining how to multiple 3-digit numbers was extremely opaque, and it was nearly impossible to describe how to do long division. Now we can teach 3rd/4th graders how to do it before they watch "Barney".

    That's also why none of the good stuff was made by the Romans - it was the Greeks, then the Arabs that had good numerals, made the discoveries, before the knowledge of a proper number system finally returned to Europe in more recent centuries. The roman numerals were more like the Dark Ages of mathematics.

    I think something similar will be the case in 1000 years with everything Chomsky and any arbitrary math guy says: they just haven't thought about how to say it simply yet. Life just *ain't* that complicated (if you have the right way to think.)

    Life might not, but math certainly can. E.g. x^n + y^n = z^n is not true for positive integers x,y,z and n > 2. Proof: 250 pages long or so alone. The final article to put it all together is 100+ pages alone. And you won't understand shit until you've read a couple thousand pages of basic number theory. If you think that's ever going to be something you can slap up on the blackboard in an hour, you're wrong.

    For all that's been said and done, I think most "simplifying" moves have been made. I've done quite a bit of higher math, and I certainly haven't found any "easy" way to explain it to others. Sure, I can *show* you how phasors rotating in the complex plane can be used to derive the output of a AC circuit of resistors, capacitances and inductances, but noone will understand why.

    Most people will never get past the "apples" math. 3, 1/2, sqr(2), all operations on them can be understood by thinking of it in terms of physical objects. Now try make people "understand" e.g. complex numbers and operations. Hell most people have trouble understanding a trivial induction proof.

    Now say I got a standard induction proof:
    f(1) is true.
    if f(n) is true, f(n+1) is true.
    And this proves it for n infinitely large.

    Then, people believe it's some "infinity magic". But in reality it's simply that for every finite number there is a conventional, finite proof.

    Let's say I want to prove it for f(325266235235352):
    f(1) is true.
    Since f(1) is true, f(2) must be true.
    Since f(2) is true, f(3) must be true.
    ....
    Since f(325266235235352 - 1) is true, f(325266235235352) is true.

    But people don't understand that. Which tells me they will never understand 90% of higher math, because it won't get much simpler than that...

    Kjella

    --
    Live today, because you never know what tomorrow brings
  22. Random musings from an ex-linguist. by Charles+Dodgeson · · Score: 4, Insightful
    I'm a PhD drop-out in linguistics, and happen to know precisely what a head-lexicalized context-free grammer is. (And, no, reading Chomsky is not the way to find out what it is). Below are some random musings on the geekiness of linguists.

    Linguists have always been geeky. Don't forget that Larry Wall is a linguist first.

    The only computer class I ever took was in 1983 called "Computer tools for natural language analysis". It was an introductory Unix course. We learned grep, awk, sed as well as tools like vi, Mail, and rogue. And a tiny little bit of C. But since then I've taught C at the graduate level.

    Linguistics is all about the reprensentation and manipulation of information. But instead of it being about languages we design for particular purposes, it is about the language system that we use naturally.

    Suppose you have a few thousand languages that you know were written with the same tools (like lex and yacc, but not lex and yacc), but you have no access to those tools. Suppose you are trying to figure out what those tools are from examining the languages (not the compilers) that have been specified using those tools. That is what theoretical linguistics is trying to do. We know that the specification of English and the specification of Dyirbal and every other human language out there are somehow "written" with the same tools. It's pretty need stuff.

    Linguists were early adopters of TeX, have had a Unix affinity for a while, and as people who are interested in how information is internally represented and manipulated, like reading the source.

    I remember once nagging the sys admins to always make sure that there is a man page for anything added to /usr/bin or /usr/local/bin. The next day, they asked me to look at the manpage for something to see if it met with my approval. The DESCRIPTION was the C source. I was happy to say that it did, indeed, meet with my approval.

    At one point, a well known professor (Geoffrey Pullum) had written a little essay for a newsletter on the "grammer of Unix" using linguistic style analyses of the shell. Naturally several of us feigned outrage at his confusion of "Unix" with the shell. Another linguist (Bill Poser), went so far as to write a shell which was verb (command) final, and post-positional. That is instead of saying
    cat foo bar > bang
    you would say
    foo bar bang > cat
    That is, the arguments preceed the command, and the redirect symbols go after the filename they redirect to or from. Now for various reasons, I had root access on a machine that Pullum used. So I changed his shell to this command final one. He actually caught on remarkably quickly. And after a quick
    /bin/sh chsh
    he was ready to concede the point.

    For me, there is no surprise that linguists, and particularly computational linguists, are OSS enthusiasts. But that is enough of my random musings for now.

    --
    Prime numbers are exactly what Alan Greenspan says they are -S. Minsky
    1. Re:Random musings from an ex-linguist. by Charles+Dodgeson · · Score: 2, Informative
      What are sources for the more interesting field journals/publications worthy of swot - care to make some suggestions?

      I dropped out 15 years ago, so I'm not really the best person to ask. For popular books on linguistics, I'd recommend The Language Instinct by Steven Pinker. (It is the book I wish I'd written). My favorite journal back in the days when I was reading them was Natural Language and Linguistic Theory.

      If you've had any contact, you'll know that linguistics is a bitterly divided field. I was of the west-coast variety. But you need advice from some one working in the field now. I'd suggest that you drop by your local university and ask around. But do remember that there are substantial divisions in linguistics, so take what you are told with a grain of salt.

      --
      Prime numbers are exactly what Alan Greenspan says they are -S. Minsky
  23. Clarification: Controlled Language [Re:Great...] by j.leidner · · Score: 2, Informative
    Controlled language is the conscious decision of an organisation to use only a subset of what a natural language like English offers in technical documentation (medical leaflets, submarine documentation, maintenance manuals, software documentation) in order to avoid confusion.

    (1) Insert the knob behind the lever.

    In (1) you could perhaps use a handfull of terms instead of "knob" -- controlled language enforces only certain licensed terms, this increasing overall consistency (same terms for same thing). This can be checked automatically once a positive list (or typically a hierarchy called "thesaurus") has been setup.

    (2) He saw the girl on the hill with the telescope.

    The second/third case are lexical and structural ambiguity: we want to avoid problems like with (2), where "saw" could be past of "to see" or have another (more morbid) interpretation. Even worse, it is unclear whether the girl is on the hill, carrying the telescope or whether "he" is spying on the girl with the telescope. I leave it as an exercise to the reader how many combinations (possible interpretations) there are in a sentence like (2) [Hint: Which verb? Who is where? Who carries the telescope?].

    In a Controlled Language scenario e.g. ACE, after some initial investments in thesaurus construction, thesaurus lookup and simple parsing techniques are used to report problematic passages to a human editor, who has to correct it manually.

    This is not programming in natural language. Typically only large companies can afford the initial investment.

  24. Where oh where? by rock_climbing_guy · · Score: 2, Funny

    Where are the "All Your Base" trolls when it's actually relevant?

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    Wh47 d1d j00 541, 31337 15n't t3h r0xor5 ne m0r3???
  25. Linguistics and Anthropology by Enkerli · · Score: 2, Informative

    As both a partly self-labeled linguistic anthropologist and a cultural anthropologist, I would like to respectfully qualify the parent's statements on the state of the field. This really isn't meant as a flame but I do enjoy discussions on the difficult relationship between linguistics and anthropology.
    First, while anthropology seems to emphasize linguistics to a much lesser degree than in Boas' era, a large number of anthropologists do work on language, in one way or another. Granted, the groundwork of deciphering unknown languages isn't really part of the discipline anymore, but thorough research projects on how language and language varieties work in social and cultural settings are prominent in the work of many anthropologists, from Michael Silverstein to Alessandro Duranti. Whether or not you call this type of language science "linguistics" is a matter of choice. The fact remains that language still plays a prominent role in contemporary anthropology.
    The matter of whether or not "post-modernism" killed cultural anthropology is also open to debate. While I understand the claim and did feel some frustrations caused by "post-modern" anthropology, I think that the ultimate impact is that of enhancing anthropology. True, most cultural anthropologists have stopped writing monographs about "The Xs," but "post-modern" self-criticism is now being replaced by hybrid research activities combining theory and practice. Interestingly enough, language has a large impact on much of this work, at least in the form of meaningful exchanges. Again, maybe not "linguistic" in the strictest sense, but surely enough to warrant language training.

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    Alexandre http://enkerli.wordpress.com/