def all_tab_delimited_formatter(self, form):
"""All the data of a form, tab-delimited.
"""
form_list = [
str(form.id),
self.no_tabs(u"%s%s" % (form.grammaticality, h.storageToOutputTranslate(form.transcription))),
self.no_tabs(form.narrowPhoneticTranscription) or u"",
self.no_tabs(form.phoneticTranscription) or u"",
self.no_tabs(h.storageToOutputTranslate(form.morphemeBreak, True)) or u"",
self.no_tabs(form.morphemeGloss) or u"",
self.no_tabs(
u"; ".join(["%s%s" % (x.glossGrammaticality, x.gloss.replace(";", ".")) for x in form.glosses])
),
form.comments and self.no_tabs(h.storageToOutputTranslateOLOnly(form.comments)) or u"",
form.speakerComments and self.no_tabs(h.storageToOutputTranslateOLOnly(form.speakerComments)) or u"",
form.context and self.no_tabs(form.context) or u"",
form.dateElicited and self.no_tabs(form.dateElicited.strftime("%b %d, %Y")) or u"",
form.datetimeEntered and self.no_tabs(form.datetimeEntered.strftime("%b %d, %Y at %I:%M %p")) or u"",
form.datetimeModified and self.no_tabs(form.datetimeModified.strftime("%b %d, %Y at %I:%M %p")) or u"",
form.syntacticCategoryString and self.no_tabs(form.syntacticCategoryString) or u"",
form.elicitor and self.no_tabs(u"%s %s" % (form.elicitor.firstName, form.elicitor.lastName)) or u"",
form.enterer and self.no_tabs(u"%s %s" % (form.enterer.firstName, form.enterer.lastName)) or u"",
form.verifier and self.no_tabs(u"%s %s" % (form.verifier.firstName, form.verifier.lastName)) or u"",
form.speaker and self.no_tabs(u"%s %s" % (form.speaker.firstName, form.speaker.lastName)) or u"",
form.elicitationMethod and self.no_tabs(form.elicitationMethod.name) or u"",
form.syntacticCategory and self.no_tabs(form.syntacticCategory.name) or u"",
form.source and self.no_tabs(u"%s (%s)" % (form.source.authorLastName, form.source.year)) or u"",
form.keywords and self.no_tabs(u"; ".join([x.name.replace(u";", u".") for x in form.keywords])) or u"",
]
return u"\t".join([x.replace("\t", " ") for x in form_list])
def covington_form_formatter(self, form, **kwargs):
"""A XeLaTeX representation of a Form using the Covington package to put the
words into IGT formatted examples. Because non-ascii characters might occur
in the Form, XeLaTeX (not just plain LaTeX) will be required to process the
document.
Note: I was originally using h.capsToLatexSmallCaps to convert uppercase
glosses to LaTeX smallcaps (\textsc{}), but the Aboriginal Serif font was
not rendering the smallcaps, so I removed the function. If I can figure out
how to use XeLaTeX with a font that will render NAPA symbols AND make
smallcaps, then the function should be reinstated...
"""
result = [u'\n\n\\begin{examples}\n']
if not form:
result.append(u'\t\\item WARNING: BAD FORM REFERENCE')
else:
# If the Form has a morphological analysis, use Covington for IGT
if form.morphemeBreak and form.morphemeGloss:
result.extend([
u'\t\\item'
u'\n\t\t\\glll %s%s' %
(self.esc_latex(form.grammaticality),
self.esc_latex(
h.storageToOutputTranslate(form.transcription))),
u'\n\t\t%s' % self.esc_latex(
h.storageToOutputTranslate(form.morphemeBreak, True)),
u'\n\t\t%s' % self.esc_latex(form.morphemeGloss),
u'\n\t\t\\glt %s' % u'\\\\ \n\t\t'.join([
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality),
self.esc_latex(gloss.gloss))
for gloss in form.glosses
]), u'\n\t\t\\glend'
])
# If no morphological analysis, just put transcr and gloss(es) on separate lines
else:
result.extend([
u'\t\\item',
u'\n\t\t%s%s \\\\' %
(self.esc_latex(form.grammaticality),
self.esc_latex(
h.storageToOutputTranslate(form.transcription))),
u'\n\t\t%s' % ' \\\\\n\t\t'.join([
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality),
self.esc_latex(gloss.gloss))
for gloss in form.glosses
])
])
if kwargs.get('secondary_data', False):
result.extend([
u'\n',
self.xelatex_secondary_data(form,
kwargs.get('reference', False))
])
result.append(u'\n\\end{examples}')
return u''.join(result)
def all_tab_delimited_formatter(self, form):
"""All the data of a form, tab-delimited.
"""
form_list = [
str(form.id),
self.no_tabs(u'%s%s' %
(form.grammaticality,
h.storageToOutputTranslate(form.transcription))),
self.no_tabs(form.narrowPhoneticTranscription) or u'',
self.no_tabs(form.phoneticTranscription) or u'',
self.no_tabs(h.storageToOutputTranslate(form.morphemeBreak, True))
or u'',
self.no_tabs(form.morphemeGloss) or u'',
self.no_tabs(u'; '.join([
'%s%s' % (x.glossGrammaticality, x.gloss.replace(';', '.'))
for x in form.glosses
])), form.comments
and self.no_tabs(h.storageToOutputTranslateOLOnly(form.comments))
or u'', form.speakerComments and self.no_tabs(
h.storageToOutputTranslateOLOnly(form.speakerComments)) or u'',
form.context and self.no_tabs(form.context) or u'',
form.dateElicited
and self.no_tabs(form.dateElicited.strftime('%b %d, %Y')) or u'',
form.datetimeEntered and self.no_tabs(
form.datetimeEntered.strftime('%b %d, %Y at %I:%M %p')) or u'',
form.datetimeModified and self.no_tabs(
form.datetimeModified.strftime('%b %d, %Y at %I:%M %p'))
or u'', form.syntacticCategoryString
and self.no_tabs(form.syntacticCategoryString) or u'',
form.elicitor
and self.no_tabs(u'%s %s' %
(form.elicitor.firstName, form.elicitor.lastName))
or u'', form.enterer
and self.no_tabs(u'%s %s' %
(form.enterer.firstName, form.enterer.lastName))
or u'', form.verifier
and self.no_tabs(u'%s %s' %
(form.verifier.firstName, form.verifier.lastName))
or u'', form.speaker
and self.no_tabs(u'%s %s' %
(form.speaker.firstName, form.speaker.lastName))
or u'', form.elicitationMethod and self.no_tabs(
form.elicitationMethod.name) or u'', form.syntacticCategory
and self.no_tabs(form.syntacticCategory.name) or u'', form.source
and self.no_tabs(u'%s (%s)' %
(form.source.authorLastName, form.source.year))
or u'', form.keywords and self.no_tabs(u'; '.join(
[x.name.replace(u';', u'.') for x in form.keywords])) or u''
]
return u'\t'.join([x.replace('\t', ' ') for x in form_list])
def expex_form_formatter(self, form, **kwargs):
"""A XeLaTeX representation of a Form using the ExPex package to put the
words into IGT formatted examples. Because non-ascii characters might occur
in the Form, XeLaTeX (not just plain LaTeX) will be required to process the
document.
"""
result = [u"\n\n\\ex\n"]
if not form:
result.append(u"\tWARNING: BAD FORM REFERENCE")
else:
trailing_citation = self.expex_trailing_citation(form)
result.extend(
[
u"\t\\begingl"
u"\n\t\t\\gla %s%s//"
% (
self.esc_latex(form.grammaticality),
self.esc_latex(h.storageToOutputTranslate(form.transcription)),
)
]
)
if form.narrowPhoneticTranscription:
result.append(u"\n\t\t\\glb %s//" % self.esc_latex(form.narrowPhoneticTranscription))
if form.phoneticTranscription:
result.append(u"\n\t\t\\glb %s//" % self.esc_latex(form.phoneticTranscription))
if form.morphemeBreak:
result.append(
u"\n\t\t\\glb %s//" % self.esc_latex(h.storageToOutputTranslate(form.morphemeBreak, True))
)
if form.morphemeGloss:
result.append(u"\n\t\t\\glb %s//" % self.esc_latex(form.morphemeGloss))
result.extend(
[
u"\n\t\t\\glft %s%s//"
% (
"\\\\\n\t\t".join(
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality), self.esc_latex(gloss.gloss))
for gloss in form.glosses
),
trailing_citation,
),
u"\n\t\\endgl",
]
)
if kwargs.get("secondary_data", False):
result.extend([u"\n", self.xelatex_secondary_data(form, kwargs.get("reference", False))])
result.append(u"\n\\xe")
return u"".join(result)
def txt_igt_formatter(self, form):
"""Interlinear Gloss Text: transcription, morphemeBreak, morphemeGloss, gloss
all separated by newlines.
"""
result = [u"%s%s" % (form.grammaticality, h.storageToOutputTranslate(form.transcription))]
if form.morphemeBreak:
result.append(u"\n%s" % h.storageToOutputTranslate(form.morphemeBreak, True))
if form.morphemeGloss:
result.append(u"\n%s" % form.morphemeGloss)
result.append(
u"\n%s" % u"\n".join([u"%s%s" % (gloss.glossGrammaticality, gloss.gloss) for gloss in form.glosses])
)
return u"".join(result)
def expex_form_formatter(self, form, **kwargs):
"""A XeLaTeX representation of a Form using the ExPex package to put the
words into IGT formatted examples. Because non-ascii characters might occur
in the Form, XeLaTeX (not just plain LaTeX) will be required to process the
document.
"""
result = [u'\n\n\\ex\n']
if not form:
result.append(u'\tWARNING: BAD FORM REFERENCE')
else:
trailing_citation = self.expex_trailing_citation(form)
result.extend([
u'\t\\begingl'
u'\n\t\t\\gla %s%s//' %
(self.esc_latex(form.grammaticality),
self.esc_latex(h.storageToOutputTranslate(
form.transcription)))
])
if form.narrowPhoneticTranscription:
result.append(u'\n\t\t\\glb %s//' %
self.esc_latex(form.narrowPhoneticTranscription))
if form.phoneticTranscription:
result.append(u'\n\t\t\\glb %s//' %
self.esc_latex(form.phoneticTranscription))
if form.morphemeBreak:
result.append(u'\n\t\t\\glb %s//' % self.esc_latex(
h.storageToOutputTranslate(form.morphemeBreak, True)))
if form.morphemeGloss:
result.append(u'\n\t\t\\glb %s//' %
self.esc_latex(form.morphemeGloss))
result.extend([
u'\n\t\t\\glft %s%s//' % ('\\\\\n\t\t'.join(
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality),
self.esc_latex(gloss.gloss))
for gloss in form.glosses), trailing_citation),
u'\n\t\\endgl'
])
if kwargs.get('secondary_data', False):
result.extend([
u'\n',
self.xelatex_secondary_data(form,
kwargs.get('reference', False))
])
result.append(u'\n\\xe')
return u''.join(result)
def txt_tr_tl_formatter(self, form):
"""Return the (grammaticality + ) transcription, followed by each translation
(with grammaticality) on its own line.
"""
result = [
"%s%s" % (form.grammaticality, h.storageToOutputTranslate(form.transcription)),
"\n%s" % "\n".join(["%s%s" % (gloss.glossGrammaticality, gloss.gloss) for gloss in form.glosses]),
]
return u"".join(result)
def txt_igt_formatter(self, form):
"""Interlinear Gloss Text: transcription, morphemeBreak, morphemeGloss, gloss
all separated by newlines.
"""
result = [
u'%s%s' % (form.grammaticality,
h.storageToOutputTranslate(form.transcription))
]
if form.morphemeBreak:
result.append(u'\n%s' %
h.storageToOutputTranslate(form.morphemeBreak, True))
if form.morphemeGloss:
result.append(u'\n%s' % form.morphemeGloss)
result.append(u'\n%s' % u'\n'.join([
u'%s%s' % (gloss.glossGrammaticality, gloss.gloss)
for gloss in form.glosses
]))
return u''.join(result)
def txt_tr_tl_formatter(self, form):
"""Return the (grammaticality + ) transcription, followed by each translation
(with grammaticality) on its own line.
"""
result = [
'%s%s' % (form.grammaticality,
h.storageToOutputTranslate(form.transcription)),
'\n%s' % '\n'.join([
'%s%s' % (gloss.glossGrammaticality, gloss.gloss)
for gloss in form.glosses
])
]
return u''.join(result)
def covington_form_formatter(self, form, **kwargs):
"""A XeLaTeX representation of a Form using the Covington package to put the
words into IGT formatted examples. Because non-ascii characters might occur
in the Form, XeLaTeX (not just plain LaTeX) will be required to process the
document.
Note: I was originally using h.capsToLatexSmallCaps to convert uppercase
glosses to LaTeX smallcaps (\textsc{}), but the Aboriginal Serif font was
not rendering the smallcaps, so I removed the function. If I can figure out
how to use XeLaTeX with a font that will render NAPA symbols AND make
smallcaps, then the function should be reinstated...
"""
result = [u"\n\n\\begin{examples}\n"]
if not form:
result.append(u"\t\\item WARNING: BAD FORM REFERENCE")
else:
# If the Form has a morphological analysis, use Covington for IGT
if form.morphemeBreak and form.morphemeGloss:
result.extend(
[
u"\t\\item"
u"\n\t\t\\glll %s%s"
% (
self.esc_latex(form.grammaticality),
self.esc_latex(h.storageToOutputTranslate(form.transcription)),
),
u"\n\t\t%s" % self.esc_latex(h.storageToOutputTranslate(form.morphemeBreak, True)),
u"\n\t\t%s" % self.esc_latex(form.morphemeGloss),
u"\n\t\t\\glt %s"
% u"\\\\ \n\t\t".join(
[
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality), self.esc_latex(gloss.gloss))
for gloss in form.glosses
]
),
u"\n\t\t\\glend",
]
)
# If no morphological analysis, just put transcr and gloss(es) on separate lines
else:
result.extend(
[
u"\t\\item",
u"\n\t\t%s%s \\\\"
% (
self.esc_latex(form.grammaticality),
self.esc_latex(h.storageToOutputTranslate(form.transcription)),
),
u"\n\t\t%s"
% " \\\\\n\t\t".join(
[
u"%s`%s'" % (self.esc_latex(gloss.glossGrammaticality), self.esc_latex(gloss.gloss))
for gloss in form.glosses
]
),
]
)
if kwargs.get("secondary_data", False):
result.extend([u"\n", self.xelatex_secondary_data(form, kwargs.get("reference", False))])
result.append(u"\n\\end{examples}")
return u"".join(result)
def txt_tr_formatter(self, form):
"""Return the grammaticality followed by the transcription.
"""
return "%s%s" % (form.grammaticality, h.storageToOutputTranslate(form.transcription))
def browse(self, id=None):
"""Generates page for browsing Forms as dictionary entries.
Id variable (regex '[0-9]+_(ol|ml)') encodes both
the index of the first letter of the words being browsed and
the language (object or meta-) being browsed.
A first letter index of 1000000 means browse everything.
"""
# Get OL orthography as an HTML table of links to browse actions
OLOrthography = app_globals.defaultOutputOrthography[1]
OLOrthographyAsList = OLOrthography.orthographyAsList
OLOrthographyX = [
'<a href="%s" %s>%s</a>' %
(url(controller='dictionary',
action='browse',
id=str(OLOrthographyAsList.index(x)) + '_ol',
anchor='hl'), 'title="browse by %s character \'%s\'"' %
(app_globals.objectLanguageName, h.storageToOutputTranslate(
x[0])), h.storageToOutputTranslate(x[0]))
for x in OLOrthographyAsList
]
c.OLOrthographyTable = h.literal(
h.tablify(OLOrthographyX, 14, 'orthographyAsLinks'))
# Get ML orthography as an HTML table of links to browse actions
MLOrthography = app_globals.metaLanguageOrthography
MLOrthographyAsList = MLOrthography.orthographyAsList
MLOrthographyX = [
'<a href="%s" %s>%s</a>' %
(url(controller='dictionary',
action='browse',
id=str(MLOrthographyAsList.index(x)) + '_ml',
anchor='hl'), 'title="browse by %s character \'%s\'"' %
(app_globals.metaLanguageName, x[0]), x[0])
for x in MLOrthographyAsList
]
c.MLOrthographyTable = h.literal(
h.tablify(MLOrthographyX, 14, 'orthographyAsLinks'))
# If there is a valid first-letter index,
# build a query and return the appropriate variables.
patt = re.compile('^[0-9]+_(ol|ml)$')
if id and patt.search(id):
headCharIndex = id.split('_')[0]
c.languageToSortBy = id.split('_')[1]
langToOrth = {
'ol': [
app_globals.storageOrthography[1], OLOrthographyAsList,
'transcription'
],
'ml': [MLOrthography, MLOrthographyAsList, 'gloss']
}
orthography = langToOrth[c.languageToSortBy][0]
orthographyAsList = langToOrth[c.languageToSortBy][1]
try:
c.headChar = orthographyAsList[int(headCharIndex)]
except IndexError:
c.headChar = None
wordList_q = meta.Session.query(model.Form)
wordList_q = wordList_q.filter(
not_(model.Form.transcription.like(u'% %')))
# The default case
# Non-empty headChar means a letter was clicked on
if id and c.headChar:
# filter and sort wordList for object-language-to-metalanguage view
if c.languageToSortBy == 'ol':
wordList_q = wordList_q.filter(
model.Form.transcription.op('regexp')(
'^(%s)' % '|'.join(c.headChar)))
# existence of supergraphs means we have to filter the query
# of Forms whose transcription/gloss begins with a supergraph
superGraphs = getSuperGraphs(c.headChar, OLOrthographyAsList)
if superGraphs:
wordList_q = wordList_q.filter(
not_(
model.Form.transcription.op('regexp')(
'^(%s)' % '|'.join(superGraphs))))
# sort wordList using functions.CustomSorter class
c.wordList = wordList_q.all()
if c.wordList:
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(c.wordList)
# filter and sort wordList for metalanguage-to-object-metalanguage view
elif c.languageToSortBy == 'ml':
wordList_q = wordList_q.outerjoin(model.Form.glosses)
wordList_q = wordList_q.filter(
model.Gloss.gloss.op('regexp')('^(%s)' %
'|'.join(c.headChar)))
# existence of supergraphs means we have to filter the query
# of Forms whose transcription/gloss begins with a supergraph
superGraphs = getSuperGraphs(c.headChar, MLOrthographyAsList)
if superGraphs:
wordList_q = wordList_q.filter(
not_(
model.Gloss.gloss.op('regexp')(
'^(%s)' % '|'.join(superGraphs))))
wordList = wordList_q.all()
if wordList:
patt = re.compile('^%s' % c.headChar)
newWordList = []
for form in wordList:
goodGlosses = [
gloss.gloss for gloss in form.glosses
if patt.match(gloss.gloss)
]
for gg in goodGlosses:
newForm = ThinForm(form.id, gg, form.transcription,
form.keywords)
newWordList.append(newForm)
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(newWordList)
# The special case
# id of a million means we are browsing everything!
elif id and int(headCharIndex) == 1000000:
wordList = wordList_q.all()
if c.languageToSortBy == 'ml':
newWordList = []
for form in wordList:
goodGlosses = [gloss.gloss for gloss in form.glosses]
for gg in goodGlosses:
newForm = ThinForm(form.id, gg, form.transcription,
form.keywords)
newWordList.append(newForm)
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(newWordList)
else:
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(wordList)
return render('/derived/dictionary/browse.html')
def txt_tr_formatter(self, form):
"""Return the grammaticality followed by the transcription.
"""
return '%s%s' % (form.grammaticality,
h.storageToOutputTranslate(form.transcription))
def browse(self, id=None):
"""Generates page for browsing Forms as dictionary entries.
Id variable (regex '[0-9]+_(ol|ml)') encodes both
the index of the first letter of the words being browsed and
the language (object or meta-) being browsed.
A first letter index of 1000000 means browse everything.
"""
# Get OL orthography as an HTML table of links to browse actions
OLOrthography = app_globals.defaultOutputOrthography[1]
OLOrthographyAsList = OLOrthography.orthographyAsList
OLOrthographyX = ['<a href="%s" %s>%s</a>' % (
url(
controller='dictionary',
action='browse',
id=str(OLOrthographyAsList.index(x)) + '_ol',
anchor='hl'
),
'title="browse by %s character \'%s\'"' % (
app_globals.objectLanguageName, h.storageToOutputTranslate(x[0])
),
h.storageToOutputTranslate(x[0])
) for x in OLOrthographyAsList]
c.OLOrthographyTable = h.literal(
h.tablify(OLOrthographyX, 14, 'orthographyAsLinks'))
# Get ML orthography as an HTML table of links to browse actions
MLOrthography = app_globals.metaLanguageOrthography
MLOrthographyAsList = MLOrthography.orthographyAsList
MLOrthographyX = ['<a href="%s" %s>%s</a>' % (
url(
controller='dictionary',
action='browse',
id=str(MLOrthographyAsList.index(x)) + '_ml',
anchor='hl'
),
'title="browse by %s character \'%s\'"' % (
app_globals.metaLanguageName, x[0]),
x[0]
) for x in MLOrthographyAsList]
c.MLOrthographyTable = h.literal(
h.tablify(MLOrthographyX, 14, 'orthographyAsLinks'))
# If there is a valid first-letter index,
# build a query and return the appropriate variables.
patt = re.compile('^[0-9]+_(ol|ml)$')
if id and patt.search(id):
headCharIndex = id.split('_')[0]
c.languageToSortBy = id.split('_')[1]
langToOrth = {
'ol': [app_globals.storageOrthography[1], OLOrthographyAsList,
'transcription'],
'ml': [MLOrthography, MLOrthographyAsList, 'gloss']
}
orthography = langToOrth[c.languageToSortBy][0]
orthographyAsList = langToOrth[c.languageToSortBy][1]
try:
c.headChar = orthographyAsList[int(headCharIndex)]
except IndexError:
c.headChar = None
wordList_q = meta.Session.query(model.Form)
wordList_q = wordList_q.filter(
not_(model.Form.transcription.like(u'% %'))
)
# The default case
# Non-empty headChar means a letter was clicked on
if id and c.headChar:
# filter and sort wordList for object-language-to-metalanguage view
if c.languageToSortBy == 'ol':
wordList_q = wordList_q.filter(
model.Form.transcription.op('regexp')(
'^(%s)' % '|'.join(c.headChar))
)
# existence of supergraphs means we have to filter the query
# of Forms whose transcription/gloss begins with a supergraph
superGraphs = getSuperGraphs(c.headChar, OLOrthographyAsList)
if superGraphs:
wordList_q = wordList_q.filter(
not_(model.Form.transcription.op('regexp')(
'^(%s)' % '|'.join(superGraphs)))
)
# sort wordList using functions.CustomSorter class
c.wordList = wordList_q.all()
if c.wordList:
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(c.wordList)
# filter and sort wordList for metalanguage-to-object-metalanguage view
elif c.languageToSortBy == 'ml':
wordList_q = wordList_q.outerjoin(
model.Form.glosses
)
wordList_q = wordList_q.filter(
model.Gloss.gloss.op('regexp')('^(%s)' % '|'.join(c.headChar))
)
# existence of supergraphs means we have to filter the query
# of Forms whose transcription/gloss begins with a supergraph
superGraphs = getSuperGraphs(c.headChar, MLOrthographyAsList)
if superGraphs:
wordList_q = wordList_q.filter(
not_(model.Gloss.gloss.op('regexp')(
'^(%s)' % '|'.join(superGraphs)))
)
wordList = wordList_q.all()
if wordList:
patt = re.compile('^%s' % c.headChar)
newWordList = []
for form in wordList:
goodGlosses = [gloss.gloss for gloss in form.glosses
if patt.match(gloss.gloss)]
for gg in goodGlosses:
newForm = ThinForm(form.id, gg, form.transcription, form.keywords)
newWordList.append(newForm)
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(newWordList)
# The special case
# id of a million means we are browsing everything!
elif id and int(headCharIndex) == 1000000:
wordList = wordList_q.all()
if c.languageToSortBy == 'ml':
newWordList = []
for form in wordList:
goodGlosses = [gloss.gloss for gloss in form.glosses]
for gg in goodGlosses:
newForm = ThinForm(form.id, gg, form.transcription, form.keywords)
newWordList.append(newForm)
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(newWordList)
else:
cs = h.CustomSorter(orthography)
c.wordList = cs.sort(wordList)
return render('/derived/dictionary/browse.html')
