[PDF] Top 20 Loosely Tree Based Alignment for Machine Translation

... The tree-to-tree alignment model has tree transfor- mation operations similar to those of the tree-to- string model described ...formed tree must not only match the surface ... See full document

... word alignment quality by combining three word alignment tables (i) GIZA++ alignment (ii) Berkeley Alignment and (iii) rule based align- ...word alignment by improving the ... See full document

... the tree struc- tures obtained on the parallel corpus used as train- ing data for machine translation, as its training ...the tree structures obtained as explained in Fig- ure 1 from the ... See full document

... models based on PCFGs can be learned from source-parsed bitext and then applied in the preprocessing ...the translation unit from phrases to tree-to-string align- ment templates (TATs) while we do ... See full document

... actor alignment in English and Bengali phrase based Statistical Machine Translation (PB-SMT) ...identified based on the concept of complex predicate ...hybrid alignment approach ... See full document

... We assume that after applying our method, the size of the extracted words would increase be- cause more alignments are generated at the end of the second run of GIZA++. Another assump- tion is that the size of the phrase ... See full document

... ure 4. This addresses two features of Chinese that are problematic in translation to English: the infre- quent use of articles and the lack of overt number in- dicators on nouns. We lexicalized these determiners: ... See full document

... ment two quantified variables, and its output is a difference between two integers. Therefore the gradient based opti- mization techniques are not feasible. Note that the under- lying problem is a multi-objective ... See full document

... ROUGE-W is based on the weighted longest common subsequence (LCS) between the MT out- put and the reference. The common subsequences in ROUGE-W are not necessarily strict n-grams, and gaps are allowed in both the ... See full document

... For Turkish↔English experiments, we used the 20K-sentence travel domain BTEC dataset (Kikui et al., 2006) from the yearly IWSLT evaluations 6 for training, the CSTAR 2003 test set for develop- ment, and the IWSLT 2004 ... See full document

... statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in building Chinese-English SMT system, which ... 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

... an alignment head to help extract alignments in scenarios such as dictionary-guided transla- ...the alignment- assisted systems can achieve competitive per- formance compared to strong transformer base- ... See full document

... statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based machine ... See full document

... Statistical Machine Translation (SMT) has domi- nated Machine Translation (MT) research in the last two decades. One of its variants, Phrase-based SMT (PB-SMT), is currently considered ... See full document

... We conducted Chinese-to-English translation ex- periments. We trained the translation model on the FBIS corpus (7.2M+9.2M words) and trained a 4- gram language model on the Xinhua portion of the English ... See full document

... word alignment from the SMT system to improve source to target language ...word-based alignment which would elim- inate the need to recompute source to target lan- guage alignment which ... See full document

... as alignment. While we use larger vocabularies compared to the attention-based system, we ob- serve incorrect translations of rare words. E.g., the German word ¨Olknappheit in sentence 3 oc- curs only 7 ... See full document

... non-contiguous tree sequence rule can be either non-terminal symbols (grammar tags) or terminal symbols (lexical words) and the non-terminal symbols with the same index which are subsumed simultaneously are not ... See full document

... suggested translation (Simard and Isa- belle, ...a Translation-Services Provider (TSP) company to reliably determine in advance the increase in translator productivity due to the use of MT and to adjust ... See full document