[PDF] Top 20 Multimodal Comparable Corpora as Resources for Extracting Parallel Data: Parallel Phrases Extraction

... Discovering parallel data in comparable corpora is a promising approach for over- coming the lack of parallel texts in statis- tical machine translation and other NLP ...to ... See full document

... of parallel sentences used in train- ...obtaining parallel sentences from non-parallel, or comparable data, such as news articles published within the same time period (Munteanu and ... See full document

... de phrases parallèles à partir d’un corpus comparable dans le domaine des ...des phrases. Toutes les paires de phrases possibles d’un corpus « non-parallèle »ont été considérées, et celles ... See full document

... on extracting bilingual or monolingual sentence pairs from comparable corpora has only been applied to documents that are within the same topic, or have very similar publication ...that ... See full document

... Parallel corpora are valuable resources for train- ing a statistical translation ...lel corpora. However, the parallel corpora only exist in particular domains for a few number ... See full document

... Although parallel corpora are essential language resources for many NLP tasks, they are rare or even not available for many language ...ble corpora are widely available and con- tain ... See full document

... of parallel or closely parallel document ...of extracting parallel ...that extracting parallel sentences from a parallel corpus is something we do well, while ... See full document

... considerable data re- duction during ...the extraction engine ...heads. Data loss of this magnitude may seem pro- hibitive at first, but it is relatively unproblematic given that the annotations ... See full document

... Building parallel resources for corpus based machine translation, especially Statistical Machine Translation (SMT), from comparable corpora has recently received wide attention in the field ... See full document

... Non–parallel corpora include various levels of comparability: noisy parallel, comparable and ...Noisy parallel corpora con- tain non–aligned sentences that are nevertheless ... See full document

... in comparable corpora, if performed by humans, can be extremely time consuming: exhaustively spotting such pairs in, say, two corpora of 400,000 sentences each may require the exam- ination of 160 ... See full document

... Comparable corpora provide a possible solution to this data sparseness ...problem. Comparable doc- uments are not strictly parallel, but contain rough translations of each other, with ... See full document

... requires parallel data (paired inputs and outputs) which do not gener- ally occur ...ing parallel resources for data-to-text gen- eration from comparable corpora obtained ... See full document

... of data on the Internet, statistical machine translation (SMT) has gained more ...system, parallel corpora are of high importance. These parallel resources which have been aligned on ... See full document

... the extraction pipeline, which are not intended to be very ...existing parallel data, and not too much of the non-parallel data; using such a lexicon helps achieve this ... See full document

... occurrence data from corpora and a Japanese-to- English ...Bilingual data can be a good source for identifying these monolingual idioms, as it makes the non-compositionality ... See full document

... [r] ... See full document

... the phrases we obtain by splitting are in a 1:1 correspondence as much as ...the phrases would align 1:1. In the next example pair of parallel sentences (the markers are underlined, square brackets ... See full document

... We introduce an agreement-based ap- proach to learning parallel lexicons and phrases from non-parallel corpora. The basic idea is to encourage two asym- metric latent-variable translation ... See full document

... our parallel sentence extraction system is presented in Figure ...of parallel sentences from a seed parallel corpus to identify the parallel sentences from the candidates ((3) in Figure ... See full document