[PDF] Top 20 Enhancing Statistical Machine Translation with Character Alignment

... As character could preserve more meanings than word in Chinese, it seems that a character can be wrongly aligned to many English words by the aligner. However, we found this can be avoided to a great extent ... See full document

... Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between the source and target ...Recursive Alignment Block ... See full document

... word alignment (Brown et al. 1993) is a vital component of all statistical machine translation (SMT) ...in translation performance as measured by BLEU (Papineni et ...word ... See full document

... in 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

... the translation correspond- ing to each segment given as an attribute to the encapsulating XML tag, similarly to the system described in (Smith and Clark, ... See full document

... a statistical alignment method and finally, the identified multiword events and event actors are single tokenized on the both side and then the prior alignment of event and event actors are ap- plied ... 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 quality of ... See full document

... the alignment results in the training ...some alignment errors in the signal part in (b), in which characters in boundary positions were aligned incorrectly to adjacent sub- ...These alignment errors ... See full document

... Because Korean is a kind of morphologically rich language, most of Korean verbs, adjectives and adverbs can be taken as the compound words like Germany. For example, the negative verb “가지 않다 (do not go)” should be ... See full document

... On the other hand, there are approaches which use machine learning techniques. In Haque et al. (2009), authors have proposed syntactic and lex- ical context features, for integrating information about the ... See full document

... based translation model al- lows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence of sub- ...quence alignment, where a ... See full document

... few machine translation systems are also developed in Malayalam for translating Malayalam to English and vice versa but these are not offered to the ...Based Machine Translation (RBMT) ... See full document

... word alignment and phrase extraction techniques from statistical machine translation can be applied to collect translational variations across various languages which are then used to identify ... See full document

... all alignment options are possible in the two languages; this means that, a given word in one language, say English can be written in multiple words say Afaan ...the alignment task during text ... See full document

... In this experiment, we evaluated the effectiveness of our lemmatization method for English- Mongolian (En-Mn) phrase-based SMT. Khaltar and Fujii’s method was also evaluated for comparison. We used Moses (Koehn et al., ... See full document

... phrase-based statistical machine translation approach — the alignment template approach — is ...This translation approach allows for general many-to-many relations between ...the ... See full document

... Table 2 shows the results on test set using Pharaoh and Lynx with different feature settings. The 95% confidence intervals were computed using Zhang’s significance tester (Zhang et al., 2004). We mod- ified it to conform ... 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 ... 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