[PDF] Top 20 Simultaneous Word Morpheme Alignment for Statistical Machine Translation

... For English, we used the CELEX database (Baayen et al., 1995) to segment English words into morphemes. We created two versions of the data: a segmented version that involves both derivational and inflectional morphology, ... See full document

... duce word alignment from general NMT models and answer a fundamental question that how much word alignment NMT models can learn (§ ...a word align- ment model between a pair of source ... See full document

... Chinese word segmenter can do, and using word for translation is quite ...that word segmentation better for alignment is not necessarily better for translation, and vice ... See full document

... the alignment was not monotone, while 1% was aligned to several (up to eight) instances of the corresponding ...morpheme. Alignment is not the only problem: some indivisible morpheme se- ... See full document

... The bipartite graph is built by filtering the set of the calculated clause similarity connections. The con- nected components of this graph form the clause beads. A conservative fallback strategy is applied to add the ... See full document

... novel translation model based on tree-to-string alignment template (TAT) which describes the alignment be- tween a source parse tree and a target ...from word-aligned, source side parsed ... See full document

... improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the basic unit of translation is the ... See full document

... The algorithm presented in Section 2 allows for any infor- mation about the context of the source word to be consid- ered. We could consider general questions of the form ‘Is the previous word x?’ and ‘Does ... See full document

... Automatic word alignment and phrase extraction techniques from statistical machine translation can be applied to collect translational variations across various languages which are then ... 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 ...English word “library” is written in ... See full document

... the word pair (“de”,“of”)) occur only in one align- ment, and some links ...the word pair (“zhongguo”, “the”)) do not oc- ...every word pair and obtain a weighted matrix shown in Figure ...each ... See full document

... the alignment qual- ity on the Canadian Hansards task are less ...reliable alignment points are fa- ...and word order between French and English are not as dramatic as ...empty word ... 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

... Figure 7 shows a structogram of the algorithm. As the search space increases expo- nentially, it is not possible to explicitly represent it. Therefore, we represent the search space implicitly, using the functions Extend ... See full document

... for statistical machine translation is described by Lee ...Arabic-English translation takes as input POS-tagged English and Arabic text, where the Arabic words have been pre-segmented into ... 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

... Some studies have been made to tackle this problem. Och and Ney (2000) performed transla- tion in both directions (source to target and target to source) to extend word alignments. Their re- sults showed that this ... See full document

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

... the word- to-word HMM alignment model by collecting word alignment counts from the Model-2 Viterbi align- ments, and refine the word-to-word HMM alignment model by ... See full document

... Word alignment is a crucial early step in the training of most statistical machine translation (SMT) sys- tems, in which the estimated alignments are used for constraining the set of ... See full document