[PDF] Top 20 Word Level Confidence Estimation for Machine Translation

... language translation corpus containing the verbatim transcriptions of the speeches in the European Parliament Plenary Sessions ...The translation direction is from Spanish into ...which confidence ... See full document

... to word-level confidence estimation which makes ex- plicit use of a phrase-based translation ...the word-level confidence measures which have been presented in the ... See full document

... of translation hypotheses n-best list reranking was extensively studied in (Och et ...for word-level confidence estimation (Blatz et ...using confidence scores at the hypothesis ... See full document

... interactive translation prediction system recovers well from failure (predicting an incorrect token) when the correct token’s model score is also (rel- atively) ...on word-level con- fidence ... See full document

... 3.3 Discussion of DA Fluency Omission In development of the newly proposed variant of DA for document-level QE, the question arose if the assessment should also include an assessment of the fluency of documents ... See full document

... the word-level and sequence- level training, that is the direct gradient update without gradient estimation from word-level train- ing and the greater flexibility from ... See full document

... as word, phrase and sentence level using MGIZA++, Anymalign and hunalign ...for translation model. The translation model takes word, phrase and sentence alignments and computes ... See full document

... Combining word-level and phrase-level ...the word-level phrase tables of (w1) to characters as in character-level ...of translation, character-based and word-based, ... See full document

... Unlike European languages, written Chinese is not split into words. Segmenting Chinese sentences into words is a natural language processing task in its own right (Zhao and Liu, 2010; Low et al., 2005). However, many ... See full document

... We present a pilot study on an evaluation method which is able to rank translation out- puts with no reference translation, given only their source sentence. The system employs a statistical classifier ... See full document

... of word-level translation quality estimation by learning these continuous space bilingual rep- resentations instead of relying on manual feature ...monolingual word-labeling tasks, we ... See full document

... the confidence estimation ...and word level features and their impact on transla- tion error ...introduced word pos- terior probabilities (WPP) features and applied them in the n-best ... See full document

... language word and the corresponding aligned word from the source language as ...source word are provided as ...pre-trained word embedding, and all are concatenated into a single ... See full document

... new word is formed through the use of compounding, sometimes filler letters are inserted between two ...German word Jahresverpflichtung is made from the words Jahr (year) and Verpflichtung (commitment), and ... See full document

... LCTM. Word embeddings detect words as semantically re- lated when they occur in similar context, even if they do not have a hypernym, hyponym or sib- ling ...a word. For example, the word climber can ... See full document

... tical translation model for p ( w|h, s ), the probability that some word w will follow the target text h in the transla- tion of a source sentence s ... See full document

... the word-level MTQE sub-task, but this year they also cover phrase-level ...our word-level submissions we have applied the approach proposed by Espl`a-Gomis et ... See full document

... In this paper we described the submissions of the UAlacant team for the sub-task 2 in the MTQE shared task of the WMT 2015 (word-level MTQE). Our submissions, which were ranked first and third, used online ... See full document

... of machine translation (MT) have led to the adoption of this technology by many companies and institutions all around the world in order to bypass the linguistic barriers and reach out to broader ...the ... See full document

... ence to word error rate is that the TER allows shifts. A shift of a sequence of words is counted as a sin- gle edit. The minimum translation edit alignment is usually found through a beam search. When ... See full document