Editor for this issue: Ljuba Veselinova <lveselin
emunix.emich.edu>
I recently submitted a query to Linguist List regarding (1) references for overt subject vs null subject in English and (2) the differences/similarities between GOLDVARB and VARBRUL. I am grateful to the following people for all their help: Catherine N. Ball <cballMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issueguvax.acc.georgetown.edu> Julia Barron <jbarron
borage.win-uk.net> Richard Cameron <U17819
UICVM.UIC.EDU> Sharon Cote <cote
linc.cis.upenn.edu> Paul Hirschb=FChler <hirsch
aix1.uottawa.ca> Elsa Lattey <Elsa.Lattey
uni-tuebingen.de> Judith Liskin-Gasparro <judith-liskin-gasparro
uiowa.edu> Susan Pintzuk <sp20
york.ac.uk> Shana Poplack <spoplack
aix1.uottawa.ca> Patrick Schindler <patrick.schindler
uni-tuebingen.de> Robert Sigley <Robert.Sigley
vuw.ac.nz> Carmen Silva-Corvalan <csilva
mizar.usc.edu> I would especially like to thank Sharon Cote for sending me a draft of her dissertation which is not yet on-line and for useful comments. ***************************************************************** With regard to null subjects in English, references include: Cameron, Richard. 1996. A community-based test of a linguistic hypothesis. Language in Use, 25, 61-111. Cote, Sharon. 1996. Grammatical and Discourse Properties of Null Arguments in English. Ph.D. dissertation. University of Pennsylvania. This will soon be available at: = http://babel.ling.upenn.edu/~cote/index.html Haegeman, Liliane. 1990. Non-overt subjects in diary contexts. In Mascaro, J. and M. Nespor (eds.). Grammar in Progress: GLOW Essays for Henk van Riemsdijk. Dordrecht: Foris Publications. Lattey, Elsa. 1980. Grammatical Systems Across Languages: A Study of Participation in English, German and Spanish. Ph.D. dissertation. City University of New York. University Microfilms 8023716. Massam, Diane. 1989. Middles, Tough and Recipe Constructions: Licensing of Null Objects and Non-Thematic Subjects. Ms., University of Toronto. Rizzi, Luigi. 1992. Early Null Subjects and Root Null Subjects. Ms., University of Geneva. Roberge, Yves. 1990. The Syntactic Recoverability of Null Arguments. Montreal: McGill-Queen's University Press. Silva-Corvalan, Carmen. 1982. Subject expression and placement in Mexican-American Spanish. In Amastae, J. and L. Elias-Olivares. Spanish in the United States: Sociolinguistic Aspects. Cambridge, NY: Cambridge University Press. Silva-Corvalan, Carmen. 1994. Language Contact and Change: Spanish in Los Angeles. Oxford: Clarendon Press. ****************************************************************** With regard to VARBRUL and GOLDVARB: **Thanks to Robert Sigley for his detailed description: There is not much difference between GoldVarb (which I've been using) and VARBRUL 2S (which I've seen in action), mainly because that version of VARBRUL was used to make GoldVarb. GoldVarb has the following properties and limitations: Advantages: * comparatively user-friendly * one-level analysis (calculates factor effects) * step-up/step-down regression analysis (identifies significant factor groups) * doesn't appear to be subject to VARBRUL's limits on data size. (At least, I have yet to come up against any such limit, and I'm dealing with 15000 tokens.) Disadvantages * limited to binary rules In practice, this should not affect you at all, as you are dealing with a binary opposition (overt/ null subject). * slow compared to VARBRUL Running speed depends on model complexity (how many factor groups you add in) and hardware. As a sample: I have been running pathologically complicated models (15-20 factor groups, over 100 different factors, over 3000 cells). Mac SE - runs either don't complete or take months (literally) to run - even one-level runs can take a day or so Mac LC - runs complete in a week or so - one-level runs take up to an hour Mac LC475 - runs complete overnight (I discovered this by accident near the end of my research )-: Early Powermacs don't do significantly better than a plain LC. VARBRUL 2S can do a one-level model of rules with 3 or 4 output values, but it can't do step-up/step-down regression on these (so you can't find out which group effects are significant, and which are not). It is otherwise identical to GoldVarb other than in running faster and in being harder to use. (A compromise can be achieved by using GoldVarb to produce a cell file, and then running this through VARBRUL.) However, the most widely available versions have hard-coded limits on the complexity of your data (the number of cells possible). VARBRUL 3 - if you can get hold of it - reportedly has the following additional features: * calculates effects for *continuous* as well as categorical factors There is nothing mathematically complicated about this, as logistic regression is *supposed* to be able to handle a mixture of categorical and continuous factor groups, and this is its main advantage over log-linear modelling. I remain confused as to why earlier versions of VARBRUL *didn't* allow this. * (possibly?) includes some sort of cluster analysis algorithm to identify subsets of the population who behave similarly (Rousseau & Sankoff's (1978) account of this is not clear) However, it is not in wide use, perhaps because of system requirements (it presumably runs considerably slower than 2S when performing these functions?) Data entry into VARBRUL 3 must also be a much more harrowing business than into GoldVarb. Whereas GoldVarb can accept unformatted ASCII text (so in fact you could do all of your coding within your raw dataset and import the lot into GoldVarb if you wanted to), this probably isn't true of a program which recognises continuous numerical data (at the very least you'd have to mark off fields for each factor). **Thanks to Susan Pintzuk <sp20
york.ac.uk>, who wrote: Re your inquiry to the Linguist List: VARBRUL is the term used for any of the versions of the variable rule program first developed, implemented, and used by David Sankoff, Bill Labov, Pascale Rousseau, and Henrietta Cedergren, among very many others. GOLDVARB is the Macintosh version, IVARB is the PC version (it runs under DOS but not Windows). IVARB and GOLDVARB do the same thing on different machines, so neither program is more "sophisticated" than the other, although GOLDVARB is more user-friendly. Below are the instructions for retrieving IVARB by anonymous ftp; the same instructions have been made available by David Rand (of GOLDVARB fame) over the World Wide Web: http://www.crm.umontreal.ca/~rand/Varbrul_MS-DOS.html Varbrul via anonymous ftp The complete varbrul package for MS-DOS (executable code plus documentation) is now available via anonymous ftp, as follows: Connect to ftp.cis.upenn.edu Go to directory pub/ldc/misc_sw Set transfer mode to binary Get file varbrul.tar.Z This is a compressed UNIX tar file. When you run the command uncompress varbrul.tar.Z an uncompressed version, varbrul.tar, will be created. When you run the command tar xf varbrul.tar This will create a "varbrul" directory in your current working directory, which will contain all the files (20 of them) in the package. **Judy Liskin-Gasparro <jliskin
blue.weeg.uiowa.edu> wrote: The person to write to re. VARBRUL is Dennis Preston at Michigan STate University: preston
pilot.msu.edu. **Dr. Shana Poplack <spoplack
aix1.uottawa.ca> uses GOLDVARB, as do the graduate students at the University of Ottawa. It is considered more user friendly than VARBRUL. Dr. David Sankoff and Dr. David Rand (e-mail: CRM
CC.UMontreal.CA - I don't know if this is a current address) have used VARBRUL. Dr. Sankoff has a 1987 article in Sociolinguistics: An international handbook of the science of language and society edited by Ulrich Ammon, Norbert Dittmar and Klauss J. Mattheier regarding Variable Rules and a brief discussion about GOLDVARB and VARBRUL. Thank you all! Dawn Harvie, University of Ottawa, dawnh
sympatico.ca