class TranslationMatcher:
def __init__(self):
self._dictionary = dict(dictionary.entries)
self._nlpToolAdapter = NlpToolAdapter()
def getMatchForWord(self, word):
if not word:
return None
word = word.lower()
directMatch = self._searchDirectMatch(word)
if directMatch:
return directMatch
else:
resolutions = self._nlpToolAdapter.resolveWord(word)
for resolution in resolutions:
if resolution.rootIsVerb:
rootInfinitive = self._nlpToolAdapter.getVerbInfinitive(
resolution.root)
if self._dictionary.has_key(rootInfinitive):
translation = self._dictionary[rootInfinitive]
return Match(0, len(resolution.rootContent),
rootInfinitive, translation)
else:
if self._dictionary.has_key(resolution.rootContent):
return self._searchDirectMatch(resolution.rootContent)
return None
def _searchDirectMatch(self, word):
if not word:
return None
if self._dictionary.has_key(word):
translation = self._dictionary[word]
return Match(0, len(word), word, translation)
else:
return None
class TranslationMatcher:
def __init__(self):
self._dictionary = dict(dictionary.entries)
self._nlpToolAdapter = NlpToolAdapter()
def getMatchForWord(self, word):
if not word:
return None
word = word.lower()
directMatch = self._searchDirectMatch(word)
if directMatch:
return directMatch
else:
resolutions = self._nlpToolAdapter.resolveWord(word)
for resolution in resolutions:
if resolution.rootIsVerb:
rootInfinitive = self._nlpToolAdapter.getVerbInfinitive(resolution.root)
if self._dictionary.has_key(rootInfinitive):
translation = self._dictionary[rootInfinitive]
return Match(0, len(resolution.rootContent), rootInfinitive, translation)
else:
if self._dictionary.has_key(resolution.rootContent):
return self._searchDirectMatch(resolution.rootContent)
return None
def _searchDirectMatch(self, word):
if not word:
return None
if self._dictionary.has_key(word):
translation = self._dictionary[word]
return Match(0, len(word), word, translation)
else:
return None
def __init__(self):
self._dictionary = dict(dictionary.entries)
self._nlpToolAdapter = NlpToolAdapter()
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from nlpToolAdapter import NlpToolAdapter
nlpToolAdapter = NlpToolAdapter()
def createCouplets(lines):
coupletSize = _getCoupletSize(lines)
_verifyCoupletSize(lines, coupletSize)
lines = _removeEmptyLines(lines)
couplets = _createCoupletsList(lines, coupletSize)
#Some hardcoded stuff, I feel sorry :(
if coupletSize == 4:
couplets = _changeCoupletSizeToTwo(couplets)
def __init__(self):
self._dictionary = dict(dictionary.entries)
self._nlpToolAdapter = NlpToolAdapter()
