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For a given sentence-aligned parallel corpus, it aligns words in each sentence pair. Moreover, it calculates expected length and vocabulary size of each language (source and taget language) and also shows word translation probability as a data.table.
● Data Source:
CranContrib
● Keywords:
● Alias: word_alignIBM1
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It builds an automatic bilingual dictionary of two languages based on given sentence-aligned parallel corpus.
● Data Source:
CranContrib
● Keywords:
● Alias: mydictionary
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It calculates source-to-target and target-to-source alignments using IBM Model 1, as well as symmetric word alignment models such as intersection, union or grow-diag.
● Data Source:
CranContrib
● Keywords:
● Alias: Symmetrization, print.symmet
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Converts uppercase to lowercase letters for the first n characters of a character string.
● Data Source:
CranContrib
● Keywords:
● Alias: culf
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For a given Sentence-Aligned Parallel Corpus, it prepars sentence pairs as an input for word_alignIBM1 and Evaluation1 functions in this package.
● Data Source:
CranContrib
● Keywords:
● Alias: prepareData
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For a given Sentence-Aligned Parallel Corpus, it aligns words for each sentence pair. It considers one-to-many alignment in word_alignIBM1 function and symmetric word alignment in Symmetrization function. Moreover, it evaluates a word alignment resulted from word_alignIBM1 function or from some other software or method. It also builds an automatic bilingual dictionary of two languages using the given corpus.
● Data Source:
CranContrib
● Keywords: package
● Alias: word.alignment, word.alignment-package
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It constructs a cross-tabulation matrix of source language words vs target language words of a given sentence pair to be filled by an expert (Sure|Possible : 1|2) or based on an external word alignment software (3).
● Data Source:
CranContrib
● Keywords:
● Alias: fix.gold
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It measures Precision, Recall, AER, and F_measurs metrics to evaluate word alignment quality.
● Data Source:
CranContrib
● Keywords:
● Alias: Evaluation1
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It creates an excel file from two sentences of two languages to help the user for constructing a gold standard such that he/she can set 1 or 2 for Sure or Possible alignments.
● Data Source:
CranContrib
● Keywords:
● Alias: consExcel
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Starting with the intersection of ef and fe alignment one by one and finding the square neighbors including the union and intersection, recursively.
● Data Source:
CranContrib
● Keywords:
● Alias: squareN
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providing 
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