[PDF] Top 20 Unsupervised Bilingual Segmentation using MDL for Machine Translation

... method using MDL and improve the performance of monolingual ...cal segmentation using ...exploiting MDL to achieve monolingual seg- mentation, and indicate that MDL-based method ... See full document

... with bilingual cost (Morfessor-bi) against the word-based ...post- segmentation token alignments and the Moses toolkit (Koehn et ...phrase-based translation model genera- tion and ... See full document

... and MDL methods, though it still lags 7 percentage points behind the best result achieved by adap- tors grammar with ...test machine, it took roughly 15 hours for one instance of adaptors grammar with ... See full document

... novel segmentation approach for Phrase-Based Statistical Machine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and bilingual ... See full document

... Collecting resources for dialectal Arabic: Several researchers have directed efforts to de- velop DA computational resources (Maamouri et al., 2006; Al-Sabbagh and Girju, 2010; Zaidan and Callison-Burch, 2011; Salama et ... See full document

... The algorithms described in Section 3 are all rela- tively recent algorithms based on entropy. Many al- gorithms for computational morphology make use of concepts similar to branching entropy, such as successor count. ... See full document

... on Machine Transla- tion (MT) have proven popular due to the scarcity of labeled paraphrase pairs (Callison-Burch, 2007; Mallinson et ...Conceptually, translation is ap- pealing since it abstracts semantic ... See full document

... target translation of a source-language ...the bilingual Hiero grammar are both SCFGs, the confusion sets are isomorphic with translation hypergraphs that are used by supervised discriminative train- ... See full document

... by using the hypotheses also for TM ...the bilingual data, and then use the target side of the filtered bilingual data to perform LM ...by using both the in-domain source- language corpus and ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document

... We believe that, beyond the substantial gains in this particular task, our work has important implications for future research in cross-lingual word embedding mappings. While most work in this topic uses BLI as the only ... See full document

... word segmentation (UWS) can provide domain-adaptive segmenta- tion for statistical machine translation (SMT) without annotated data, and bilin- gual UWS can even optimize segmenta- tion for ...their ... See full document

... Recently, several UBWE methods (Conneau et al., 2018; Artetxe et al., 2018a) have been applied to UNMT (Artetxe et al., 2018c; Lample et al., 2018a). These rely solely on monolingual corpora in each language via UBWE ... See full document

... Tokenizing a parallel corpus is usually the first step of training a statistical machine translation system. With languages such as Chinese, which has no spaces in its writing system, the main chal- lenge ... See full document

... evaluated bilingual sense similarity algorithms applied to a hierarchical phrase-based system, this method is also suitable for syntax-based MT systems and phrase-based MT ...the bilingual word alignment or ... See full document

... a bilingual dictio- nary is to hijack the decoding process and force word/phrase translations as per the dictionary en- ...Assisted Translation (CAT) environment to translate documents in the technical ... See full document

... Korean-English machine translation do not im- prove when using the newly produced aligned cor- ...loose translation of them or even involve substantial ...of translation by a ratio ... See full document

... for Machine Translation of European Languages, it could be shown that the translation performance of SMT systems can be increased by integrating a bilingual lan- guage model into a ... See full document

... in using the target language, then there is not a lot I can do with the translation result since I am incapable of doing any adequate post ...choose translation direction, they should also be able to ... See full document

... standard machine transla- tion benchmarks using monolingual corpora ...on unsupervised cross-lingual embedding mappings, which independently train word embeddings in two languages and learn a linear ... See full document