Conference Proceeding

Sentence-Level Evaluation Using Co-occurences of N-Grams.

01/2008; DOI:10.1007/978-3-540-87536-9_77 In proceeding of: Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Source: DBLP

ABSTRACT This work presents an evaluation method of Greek sentences with respect to word order errors. The evaluation method is based
on words’ reordering and choosing the version that maximizes the number of trigram hits according to a language model. The
new parameter of the proposed technique concerns the incorporation of unigram probability. This probability corresponds to
the frequency of each unigram to be posed in the first and in the last position of the training set sentences. The comparative
advantage of this method is that it works with a large set of words, and avoids the laborious and costly process of collecting
word order errors for creating error patterns.

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