[PDF] Top 20 Interlocking Phrases in Phrase based Statistical Machine Translation

... The results of the previous sections were all based on experiments on the BTEC corpus. This corpus is unsual in that the sentences are short and the training data size is also small. In order to establish that our ... See full document

... The task of domain-adaptation attempts to exploit data mainly drawn from one domain (e.g. news, parliamentary discussion) to maximize the perfor- mance on the test domain (e.g. lectures, web fo- rums). In this work, we ... See full document

... of translation derivations in phrase-based statistical ma- chine translation is given by the intersec- tion between a translation lattice and a tar- get language ... See full document

... Despite the promise of active learning for SMT for domain adaptation and low-density/low-resource languages, there has been very little work published on this issue. A Ph.D. proposal by Chris Callison- Burch ... See full document

... In statistical machine translation, the gen- eration of a translation hypothesis is com- putationally ...for phrase-based statistical machine trans- lation, namely ... See full document

... two phrases ‘would like to learn’ and ‘Chinese as second language’ are in the in-domain ...two phrases may be connected together as ‘would like to learn Chinese as second ...The phrases ‘would like ... See full document

... that phrases longer than three words improve performance little, suggesting that data sparseness takes over for longer ...the phrase level, these models typically have a simple distortion model that ... See full document

... between phrases of the language model and those of the transla- tion table: Considering the pertinent phrases as single units will reduce the entropy of the language ...rent statistical ... See full document

... This state of affairs has prompted some to ex- amine the possibility of automating the post-editing process itself, at least as far as “repetitive errors” are concerned. Allen and Hogan (2000) sketch the out- line of ... See full document

... for translation: determinis- tic reordering aims at finding a single optimal re- ordering for each input sentence, which is then translated monotonically (Xia and McCord, 2004) or with a low DL (Collins et ... See full document

... also based on the edit distance concept has recently arisen as an evolution of WER towards ...the translation edit rate (TER), and it has become popular because it takes into ac- count the basic ... See full document

... The 4th Workshop on South and Southeast Asian NLP WSSANLP, International Joint Conference on Natural Language Processing, pages 72–76, Nagoya, Japan, 14-18 October 2013.... ºï ðòïï ðòðç.[r] ... See full document

... The main bottleneck in building SMT systems is the need for a substantial amount of parallel aligned text. Likewise, exploiting SMT for paraphrasing re- quires large amounts of monolingual parallel text. However, ... See full document

... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) is also ... See full document

... stricting phrases to syntactic constituents has been shown to harm performance (Koehn et ...the translation in Figure 1 is co- hesive, as none of its spans ... See full document

... forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard phrase extraction ...7M phrase pairs after ... See full document

... 66,604 words. The corpus was true-cased and toke- nized before the SMT systems training took place. Standard Moses phrase-based SMT [16] was used as the baseline system. All conditions, not only baseline, ... See full document

... We used these three corpora to extract a set of sentences that were aligned to each other across all four languages. For that purpose, we used English as the pivot. For each distinct English sentence, we extracted the ... See full document

... contemporary machine translation paradigm, and to experiment with a broader range of ...automatic translation of a sentence in a given language from a partic- ular ...include translation among ... See full document

... There are currently two supertagging approaches available: LTAG-based (Bangalore & Joshi, 1999) and CCG-based (Clark & Curran, 2004). Both the LTAG (Chen et al., 2006) and the CCG supertag sets ... See full document