[PDF] Top 20 Improved Statistical Machine Translation Using Paraphrases

... in statistical machine translation has largely focused on introducing morphological anal- ysis as a way of reducing the number of types ob- served in a training ...and using lemmas improves ... See full document

... by using a maximum entropy classifier (Munteanu and Marcu, ...with paraphrases generated by pivot- ing through other languages (Callison-Burch et ... See full document

... (2006) improved English→Spanish and English→French SMT using source-language paraphrases extracted with the pivoting technique of Bannard and Callison- Burch (2005) and eight additional languages ... See full document

... language translation (Machine Translation) has become an attractive area of research and ...development. Statistical Machine Translation (SMT) has been used for ... See full document

... year’s statistical transfer system used automatically generated parse trees on both sides of the corpus as absolute constraints: a syntactic phrase pair was extracted from a given sentence only when a contiguous ... See full document

... tifying paraphrases and contradictions are in turn useful in effectively re-ranking target language hy- potheses in machine translation, and for re-ranking query responses in information ... See full document

... It is well-known that translation performance in Moses-style (Koehn et al., 2007) machine transla- tion (MT) systems deteriorates when high distortion is allowed. The linear distortion cost model used in ... See full document

... learned using a parallel corpus of source-target sentence pairs, machine generated word alignments, and source side ...in machine translation performance for all of the language pairs we ... See full document

... Adding paraphrases helps rhetoric transla- tion and increases expressiveness: Qualitative evaluation shows many cases where rhetoric trans- lation is improved by training on diverse sets of ...3, ... See full document

... that translation perfor- mance can be improved by exploiting context and paraphrases in the original training corpus ...the paraphrases used would have some measurable impact on ... See full document

... language using rule based ...Transliteration using Statistical Machine Translation in different ...gives improved results over UTF-notation by training the English-Hindi corpus ... See full document

... with improved BLEU Score ...of translation is higher as compared to other ...their translation corresponding to high frequency ...and improved BLEU ... See full document

... for machine translation, respectively as first to es- tablish the dictionary of words/phrases, second to translate the grammar, and third to determine the meanings of some words/phrases of multiple meanings ... See full document

... pairs to compare the similarity between them. Data sparseness makes the vector representations sparse (e.g., the vector of a low frequent word tends to have many zero entries), thus they do not always reliably represent ... See full document

... As for using SMT in generation, there are many previous efforts. Wong and Mooney (2007) use SMT methods for tactical NLG. They learn through SMT to map meaning representations to natural lan- guage. Quirk et al. ... See full document

... a statistical Machine Translation system, and a sequence-to-sequence neural network, trained on a paraphrase datasets with respect to their abilities to add novel nodes to an existing taxonomy from ... 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

... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...based machine ... See full document

... improve statistical machine translation performance and also to remove the necessity to model them ...phrase translation should be realized as a phrase alignment, where the lexical ... See full document

... Amharic-Wolaytta-Amharic translation systems are better than Amharic- Ge’ez-Amharic systems although the data size used in the former is less than the data size used in the ... See full document