sentence-based machine translation
A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... statistical machine transla- tion (SMT), namely phrase translation and sentence ...phrase translation strategy means that we di- rectly construct a phrase translation ta- ble ...
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Application of Prize based on Sentence Length in Chunk based Automatic Evaluation of Machine Translation
... candidate translation and recall by ...candidate translation and the ...candidate translation differs from that of the ...candidate translation and refer- ences differs because the value of ...
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Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... English-to-Japanese translation, to de- termine what effect the method had on transla- ...of translation expres- sion is a ...another sentence splitting method based on parsing trees (Furuse ...
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A Framework of Translator From English Speech To Sanskrit Text
... spoken sentence is obviously a knowledge-intensive process, which must take into account all variable information about the speech communication process, from acoustics to semantics and ...learning based ...
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Use of Fuzzy Tool for Example Based Machine Translation
... for sentence substrings, we need to create an inverted index into the source-language ...by sentence index in corpus and word index in sentence) into a hash table keyed by the appropriate ...
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Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... given sentence can have widely different lengths, which could make incremental inexact decod- ing such as beam search difficult due to the need to prune over partial hypotheses that have different numbers of ...
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Sentence Level Agreement for Neural Machine Translation
... used sentence similarity measure technique for automatic text ...the sentence similarity algorithm based on VSM is beneficial to address the FAQ ...a sentence similarity method for spoken ...
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Rule based Sentence Simplification for English to Tamil Machine Translation System
... Sentence simplification is the process of simplifying the complex sentences into simpler sentences. The method proposed in this paper is simpler one. Based on rules, the sentences are simplified in order to ...
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Approximate Sentence Retrieval for Scalable and Efficient Example Based Machine Translation
... better sentence similarity metric for LD ...a sentence from the example base with a partial exact match of words (identical surface forms of words) in the query sentence is helpful because the longer ...
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Truly Exploring Multiple References for Machine Translation Evaluation
... human translation, often only one reference translation is available at evaluation ...given sentence or ...n-gram based evaluation metrics: the more references, the more chances for n-grams ...
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Exploiting Cross Sentence Context for Neural Machine Translation
... In translation, considering the document as a whole can help to resolve ambiguities and ...neural machine translation ...Chinese-English translation task show that our approach significantly ...
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Sentence Level Adaptation for Low Resource Neural Machine Translation
... neural machine translation (NMT) approaches achieve state-of-the-art accu- racy in high-resource ...each sentence at inference ...test sentence, its parameters are fine-tuned over a subset of ...
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Sentence Level Dialect Identification for Machine Translation System Selection
... Arabic Dialect Machine Translation. Two ap- proaches have emerged to alleviate the problem of DA-English parallel data scarcity: using MSA as a bridge language (Sawaf, 2010; Salloum and Habash, 2011; ...
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Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
... neural machine translation (NMT) has been prominently used to perform various translation tasks (Luong and Manning, 2015; Bojar et ...phrase- based statistical machine ...
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Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length
... on sentence length. In most metrics based on f-measure compar- isons of reference and candidate trans- lations, the relative weight of each mis- matched word in short sentences is larger than it in long ...
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Simultaneous Sentence Boundary Detection and Alignment with Pivot based Machine Translation Generated Lexicons
... for machine translation (MT) (Koehn et ...sentences based on sentence length and/or bilingual lexicons (Ma, ...determined sentence boundaries are not op- timized for sentence ...
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Sentence Embedding for Neural Machine Translation Domain Adaptation
... Section 1. Two typical sentence selection methods for PBSMT were also used as baselines: Axelrod et al. (2011) used language model-based cross- entropy difference as criterion; Chen et al. (2016) used a CNN ...
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One Sentence One Model for Neural Machine Translation
... similarity based on Lev- enshtein distance is always better than the other two, the similarity based on encoder states is slightly worse, and the similarity based on average word embedding is the ...
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Statistical Machine Translation with Word and Sentence Aligned Parallel Corpora
... for machine translation leads to better alignments is ...better translation quality, we used a state-of-the-art phrase-based decoder to translate a held out set of German sentences into ...
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Sentence Type Based Reordering Model for Statistical Machine Translation
... guage sentence to make its word order closer to that of the target ...source sentence to make the word or- der more accordant to target ...Chinese-to-English translation, including verb phrases ...
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