Software - Revision history

John Carter: /* Palmsurv */

2012-08-07T01:10:34Z

Palmsurv

John Carter: /* Wordsurv */

2012-08-07T01:09:49Z

Wordsurv

John Carter: /* Wordsurv */

2012-08-07T01:09:25Z

Wordsurv

Admin at 05:47, 1 September 2011

2011-09-01T05:47:43Z

Admin: tidied up formatting from Cathryn's original edit and added in external and internal links too.

2011-07-04T22:26:52Z

tidied up formatting from Cathryn's original edit and added in external and internal links too.

Cathryn Yang: added a review of Gabmap software

2011-07-04T08:27:20Z

added a review of Gabmap software

Admin at 01:59, 30 June 2011

2011-06-30T01:59:59Z

John Carter at 05:41, 27 June 2011

2011-06-27T05:41:07Z

Admin: /* Wordsurv */

2011-06-23T00:14:12Z

Wordsurv

Admin at 03:32, 22 June 2011

2011-06-22T03:32:02Z

@@ Line 9: / Line 9: @@
 ==Palmsurv==
-Is Wordsurv designed to enable word lists to be elicited directly onto a PalmOS handheld computer. For more information about Palmsurv, visit [http://palmsurv.sourceforge.net/index.html Sourceforge].
+Wordsurv is designed to enable word lists to be elicited directly onto a PalmOS handheld computer. For more information about Palmsurv, visit [http://palmsurv.sourceforge.net/index.html Sourceforge].
 ==Wordcorr==

@@ Line 2: / Line 2: @@
 WordSurv helps determine linguistic relationships by aiding the comparison of [[word lists]]. It functions in three main areas: (1) entry and maintenance of word lists and cognate decisions, (2) computation of [[lexicostatistics|lexicostatistic]] and [[phonostatistic]] measures of similarity, and (3) output of data and results in various formats. WordSurv also supports the COMPASS algorithm to aid in [[comparative method|comparative reconstruction]].
-WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 7 is available at [http://cse.taylor.edu/~wordsurv/version7.php here].
+WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 7 is available [http://cse.taylor.edu/~wordsurv/version7.php here].
 For detailed instructions about inputting word lists into WordSurv 6.0.2, see [[Inputting Data into WordSurv]].

@@ Line 2: / Line 2: @@
 WordSurv helps determine linguistic relationships by aiding the comparison of [[word lists]]. It functions in three main areas: (1) entry and maintenance of word lists and cognate decisions, (2) computation of [[lexicostatistics|lexicostatistic]] and [[phonostatistic]] measures of similarity, and (3) output of data and results in various formats. WordSurv also supports the COMPASS algorithm to aid in [[comparative method|comparative reconstruction]].
-WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 6 is the current stable version and version 7 is being alpha tested for release by the end of 2011. Details of version 7 are available [http://cse.taylor.edu/~wordsurv/version7.php here].
+WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 7 is available at [http://cse.taylor.edu/~wordsurv/version7.php here].
 For detailed instructions about inputting word lists into WordSurv 6.0.2, see [[Inputting Data into WordSurv]].

← Older revision		Revision as of 05:47, 1 September 2011
Line 63:		Line 63:

	<blockquote>All these maps and data manipulations are downloadable in a variety of formats, making use in a paper very easy.</blockquote>		<blockquote>All these maps and data manipulations are downloadable in a variety of formats, making use in a paper very easy.</blockquote>
		+
		+	==SonicStage==
		+	This is a media editor that enables you to transfer files to and from Sony [[MiniDisc Players]]. Available through SurveyWiki: [http://www.johnandsheena.co.uk/public_html/surveywiki/SonicStage/SonicStageInstaller.exe SonicStage v4.3 installer] and [http://www.johnandsheena.co.uk/public_html/surveywiki/SonicStage/WAV%20converter%20for%20SonicStage.exeWAV converter for SonicStage].

@@ Line 34: / Line 34: @@
 ==Gabmap==
-Gabmap is a web-based application of the RuG/L04 software: http://www.gabmap.nl/. It’s been developed recently by the University of Groningen dialectometrists who developed the old RuG/L04 (the basis of Rugloafer). The goal of Gabmap is to make dialectometry (the quantitative measure of dialect difference) more accessible and easier to use for non-computer-type dialectologists.
+Gabmap is a web-based application of the [http://www.gabmap.nl/ RuG/L04 software]. It’s been developed recently by the University of Groningen dialectometrists who developed the old RuG/L04 (the basis of Rugloafer). The goal of Gabmap is to make [[dialectometry]] (the quantitative measure of dialect difference) more accessible and easier to use for non-computer-type dialectologists.
-Basically, Gabmap processes wordlists with Levenshtein distance to measure phonetic distance. Then it produces multi-dimensional scaling (mds), hierarchical clustering, dialect maps, and also offers data mining for determining what makes a cluster distinct. It’s free, it’s fast, it’s easy to use, it has default settings based on best practices, it organizes and saves the produced diagrams/maps/files online, it has pretty complete manuals and tutorials.
+Basically, Gabmap processes [[word lists]] with [[Levenshtein distance]] to measure phonetic distance. Then it produces multi-dimensional scaling (mds), hierarchical clustering, dialect maps, and also offers data mining for determining what makes a cluster distinct. It’s free, it’s fast, it’s easy to use, it has default settings based on best practices, it organizes and saves the produced diagrams/maps/files online, it has pretty complete manuals and tutorials.
 Here are a few things that Gabmap does much better than the old RuG/L04:
--Gabmap has a page for cluster determinants. You can select a cluster and look at what makes it distinct- basically, it's identifying isoglosses for you. I (Cathryn Yang) tried it on Nisu and Lalo, and it found many of the isoglosses that I had identified manually (after weeks of screen-staring and hair-tearing).
+* Gabmap has a page for [[cluster]] determinants. You can select a cluster and look at what makes it distinct- basically, it's identifying [[isoglosses]] for you. I ([[User:Cathryn_Yang|Cathryn Yang]]) tried it on Nisu (see paper available via [http://www.sil.org/silesr/abstract.asp?ref=2009-007 this page]) and Lalo (see 14Kb pdf at [http://www.latrobe.edu.au/rclt/ALS2009/abstracts/Yang.pdf this link], and it found many of the isoglosses that I had identified manually (after weeks of screen-staring and hair-tearing).
--Gabmap can handle data in Unicode- I think Rugloafer can do this also
+* Gabmap can handle data in Unicode- I think Rugloafer can do this also
--Gabmap tokenizes the data in a simple way that forces vowels to align with vowels, and consonants with consonants
+* Gabmap tokenizes the data in a simple way that forces vowels to align with vowels, and consonants with consonants
--Gabmap can produce simple dialect maps if you upload a .kmz or .kml file- and they teach you how to extract a map from Google Earth
+* Gabmap can produce simple dialect maps if you upload a .kmz or .kml file- and they teach you how to extract a map from Google Earth
--Gabmap has a page dedicated to cluster validation. Because clustering techniques are pretty unstable, they have a page where you can easily compare the clustering with the mds plot, to check if the clustering is grounded in reality.
+* Gabmap has a page dedicated to cluster validation. Because clustering techniques are pretty unstable, they have a page where you can easily compare the clustering with the mds plot, to check if the clustering is grounded in reality.
--Gabmap has a page for "fuzzy" clustering- they developed a technique that adds “noise” to the clustering, which makes the clustering more stable
+* Gabmap has a page for "fuzzy" clustering- they developed a technique that adds “noise” to the clustering, which makes the clustering more stable
-One drawback: It requires the data to be formatted so that the datapoints are the rows, and the lexical items are the columns, which is not the way I usually organize my wordlists. But, just by using the Paste Special > Transpose option in Excel, I got my data formatted correctly within seconds.
+'''One drawback''': It requires the data to be formatted so that the datapoints are the rows, and the lexical items are the columns, which is not the way I usually organize my word lists. But, just by using the Paste Special > Transpose option in Excel, I got my data formatted correctly within seconds.
-Another drawback, pointed out by Chad White: in older versions (2003/4) of Excel, columns are limited to about 250. So if your wordlist is longer than that, you’ll get an error when transposing. However, the Groningen dialectometrists have been getting consistently good results (in terms of phonetic distance) with a much smaller data set, around 100 words. My Nisu and Lalo data sets were both around 200 items, and I still got results consistent with my findings based on much longer wordlists (Nisu-400; Lalo-1,001). Plus, newer versions of Excel don’t have this limit.
+Another drawback, pointed out by Chad White: in older versions (2003/4) of Excel, columns are limited to about 250. So if your word list is longer than that, you’ll get an error when transposing. However, the Groningen dialectometrists have been getting consistently good results (in terms of phonetic distance) with a much smaller data set, around 100 words. My Nisu and Lalo data sets were both around 200 items, and I still got results consistent with my findings based on much longer word lists (Nisu-400; Lalo-1,001). Plus, newer versions of Excel don’t have this limit.
 I first sent this review to Chad White, developer of Rugloafer, to get his take on Gabmap. He was enthusiastic about Gabmap’s functionality and wished to encourage people to use it. Here are some of Chad’s comments:
-“In tokenizing the data it handles diacritics as well.  That was one troublesome thing about the way we had been doing it.”
+<blockquote> In tokenizing the data it handles diacritics as well. That was one troublesome thing about the way we had been doing it.</blockquote>
-“You can see a map of the distribution of individual items across a dataset, ie. the distribution of one variant of the word banana.  I don't know how many people would want to know about that feature, but I can think of times when that would have come in handy.”
+<blockquote>You can see a map of the distribution of individual items across a dataset, ie. the distribution of one variant of the word banana. I don't know how many people would want to know about that feature, but I can think of times when that would have come in handy.</blockquote>
-“All these maps and data manipulations are downloadable in a variety of formats, making use in a paper very easy.”
+<blockquote>All these maps and data manipulations are downloadable in a variety of formats, making use in a paper very easy.</blockquote>

← Older revision		Revision as of 08:27, 4 July 2011
Line 32:		Line 32:
	For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.		For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.
	[[Category:Software]]		[[Category:Software]]
		+
		+	==Gabmap==
		+	Gabmap is a web-based application of the RuG/L04 software: http://www.gabmap.nl/. It’s been developed recently by the University of Groningen dialectometrists who developed the old RuG/L04 (the basis of Rugloafer). The goal of Gabmap is to make dialectometry (the quantitative measure of dialect difference) more accessible and easier to use for non-computer-type dialectologists.
		+
		+	Basically, Gabmap processes wordlists with Levenshtein distance to measure phonetic distance. Then it produces multi-dimensional scaling (mds), hierarchical clustering, dialect maps, and also offers data mining for determining what makes a cluster distinct. It’s free, it’s fast, it’s easy to use, it has default settings based on best practices, it organizes and saves the produced diagrams/maps/files online, it has pretty complete manuals and tutorials.
		+
		+	Here are a few things that Gabmap does much better than the old RuG/L04:
		+
		+	-Gabmap has a page for cluster determinants. You can select a cluster and look at what makes it distinct- basically, it's identifying isoglosses for you. I (Cathryn Yang) tried it on Nisu and Lalo, and it found many of the isoglosses that I had identified manually (after weeks of screen-staring and hair-tearing).
		+
		+	-Gabmap can handle data in Unicode- I think Rugloafer can do this also
		+
		+	-Gabmap tokenizes the data in a simple way that forces vowels to align with vowels, and consonants with consonants
		+
		+	-Gabmap can produce simple dialect maps if you upload a .kmz or .kml file- and they teach you how to extract a map from Google Earth
		+
		+	-Gabmap has a page dedicated to cluster validation. Because clustering techniques are pretty unstable, they have a page where you can easily compare the clustering with the mds plot, to check if the clustering is grounded in reality.
		+
		+	-Gabmap has a page for "fuzzy" clustering- they developed a technique that adds “noise” to the clustering, which makes the clustering more stable
		+
		+	One drawback: It requires the data to be formatted so that the datapoints are the rows, and the lexical items are the columns, which is not the way I usually organize my wordlists. But, just by using the Paste Special > Transpose option in Excel, I got my data formatted correctly within seconds.
		+
		+	Another drawback, pointed out by Chad White: in older versions (2003/4) of Excel, columns are limited to about 250. So if your wordlist is longer than that, you’ll get an error when transposing. However, the Groningen dialectometrists have been getting consistently good results (in terms of phonetic distance) with a much smaller data set, around 100 words. My Nisu and Lalo data sets were both around 200 items, and I still got results consistent with my findings based on much longer wordlists (Nisu-400; Lalo-1,001). Plus, newer versions of Excel don’t have this limit.
		+
		+	I first sent this review to Chad White, developer of Rugloafer, to get his take on Gabmap. He was enthusiastic about Gabmap’s functionality and wished to encourage people to use it. Here are some of Chad’s comments:
		+
		+	“In tokenizing the data it handles diacritics as well. That was one troublesome thing about the way we had been doing it.”
		+
		+	“You can see a map of the distribution of individual items across a dataset, ie. the distribution of one variant of the word banana. I don't know how many people would want to know about that feature, but I can think of times when that would have come in handy.”
		+
		+	“All these maps and data manipulations are downloadable in a variety of formats, making use in a paper very easy.”
		+
		+	Hope this helps! Cathryn

← Older revision		Revision as of 01:59, 30 June 2011
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	For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.		For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.
−	[[Category:~~Resources~~]]	+	[[Category:Software]]

← Older revision		Revision as of 05:41, 27 June 2011
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	WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 6 is the current stable version and version 7 is being alpha tested for release by the end of 2011. Details of version 7 are available [http://cse.taylor.edu/~wordsurv/version7.php here].		WordSurv is being developed through a partnership between [http://cse.taylor.edu/ the Computer and Systems Science Department] at [http://www.taylor.edu/ Taylor University] and [http://www.sil.org/ SIL International]. Version 6 is the current stable version and version 7 is being alpha tested for release by the end of 2011. Details of version 7 are available [http://cse.taylor.edu/~wordsurv/version7.php here].
		+
		+	For detailed instructions about inputting word lists into WordSurv 6.0.2, see [[Inputting Data into WordSurv]].

	More information, release notes, documentation and downloads of this free application are available via [http://www.sil.org/computing/survey/wordsurv.htm SIL's Wordsurv pages].		More information, release notes, documentation and downloads of this free application are available via [http://www.sil.org/computing/survey/wordsurv.htm SIL's Wordsurv pages].

← Older revision		Revision as of 03:32, 22 June 2011
Line 29:		Line 29:

	For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.		For more see [http://www.cdc.gov/epiinfo/ the Epi Info page] on the website of the Centers for Disease Control and Prevention.
		+	[[Category:Resources]]