[PDF] Top 20 Stochastic Iterative Alignment for Machine Translation Evaluation

... adequacy evaluation is achieved at 2-gram and the best result in fluency is achieved at ...ency evaluation, and does not compensate for the loss in adequacy ...fluency evaluation, but it does poorly ... See full document

... Arabic→English Translation We also evaluate our WtoP alignment models in Arabic-English transla- ...MT evaluation sets that consists of 1043, 663 and 707 Arabic sentences, ... See full document

... word alignment in ...actually stochastic EM (also known as Monte Carlo EM), a ML technique in which sampling is used to approximate the expected counts in the ...the translation BLEU scores do not ... See full document

... statistical alignment models used to obtain a word alignment and techniques for learning phrase translations from word ...statistical translation models in Brown et ...recent machine ... See full document

... clause alignment is explored as means to provide improved training data for the purposes of Statistical Machine Translation ...on translation quality: (1) baseline training with a ... See full document

... Qualitative Analysis Finally, we would like to demonstrate that our model does indeed capture variation in translation. To this end, we randomly picked sentences from the IWSLT test set and had our model translate ... See full document

... corpus contains 5083 sentences, of which we used 4982 as training data, holding out 101 sentences for evaluation. The average Korean sentence length was 13 words. Korean is an agglutinative language, and words ... See full document

... In order to improve the quality of the word alignments McCarley et al. (2011) proposed a trainable correction model which given a sentence pair and their corresponding automatically pro- duced word alignment, it ... See full document

... of translation into three ...2) Alignment for identifying corresponding translation fragments and 3) Re-combination that generates the target text in surface form of the target ...transfer ... See full document

... form experiments on the NIST Arabic-English transla- tion task. The mt02 05 tune and mt02 05 test data sets are formed from the odd and even numbered sentences of the NIST MT02 to MT05 evaluation sets ... See full document

... word alignment models for statisti- cal machine translation do not address mor- phology beyond merely splitting ...two-level alignment model that dis- tinguishes between words and morphemes, ... See full document

... EM distributes rule probabilities in such a way as to maximize the probability of the training corpus. It thus prefers to use one rule many times instead of several different rules for the same situation over several ... See full document

... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document

... Statistical machine translation (SMT) relies heav- ily on annotated bilingual ...for translation-related knowledge, not only for phrase-based models (Och and Ney, 2004; Koehn et ...of machine ... See full document

... Corpus based annotated test set for Machine Translation evaluation by an Industrial User Corpus based annotated test set for Machine Translation evaluation by an Industrial User Eva DAUPHIN and V~roni[.] ... See full document

... paper dvi A Comparison of Alignment Models for Statistical Machine Translation Franz Josef Och and Hermann Ney Lehrstuhl f?ur Informatik VI, Computer Science Department RWTH Aachen University of Techn[.] ... See full document

... Google translation out- put in Asian languages (as well as the alignment between English and these languages) are orga- nized into characters, while characters are not the minimum meaning ...the ... See full document

... These difficulties occur because we are translat- ing sequences of words as our basic unit. On the other hand, Vilar et al. (2007) examine the possibil- ity of instead treating each sentence as sequences of characters to ... See full document

... statistical translation model based on tree-to-string alignment template which describes the alignment between a source parse tree and a target ... See full document

... Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera and Alfons Juan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document