[PDF] Top 20 Improving Word Alignment using Word Similarity
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Improving Word Alignment using Word Similarity
... Most previous work on word alignment problems uses morphosyntactic-semantic features, for ex- ample, word stems, content words, orthography (De Gispert et al., 2006; Hermjakob, 2009). A variety of ... See full document
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Improving Word Alignment by Semi Supervised Ensemble
... Similar with Co-training, the basic idea of Tri- training (Zhou and Li, 2005) is to iteratively ex- pand the labeled training set for the next-round training based on the decisions of the current clas- sifiers. However, ... See full document
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Active Semi Supervised Learning for Improving Word Alignment
... an alignment link is not present in the gold stan- dard data for the source word, we introduce a NULL alignment constraint, else we select all the links as given in the gold ...mative ... See full document
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Improving MT Word Alignment Using Aligned Multi Stage Parses
... the alignment of a parsed structure in one language with a raw string in the other language (Yamada and Knight, 2001; Shen et ...the alignment of source/target language parse trees (Zhang et ...automatic ... See full document
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Similarity Based Estimation of Word Cooccurrence Probabilities
... We describe a probabilistic word association model based on distributional word similarity, and apply it to improving probability estimates for unseen word bigrams in a variant of Katz's[r] ... See full document
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Improving Statistical Word Alignment with Ensemble Methods
... obtained using weighted voting in Table 1 and those ob- tained using unweighted voting in Table 2, we find that (1) the weighted bagging methods are much better than the unweighted bagging methods; (2) the ... See full document
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Improving IBM Word Alignment Model 1
... in alignment error between each pair of our principal versions of Model 1 by looking at the AER for each sentence pair in the test set using a 2-tailed paired t ... See full document
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Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence
... a word aligner that formulates alignment as a sequence labeling prob- ...Each word in the source sentence is labeled with the corresponding target word index if an align- ment is ... See full document
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
... Is GloVe superior to SGNS? Pennington et al. (2014) show a variety of experiments in which GloVe outperforms SGNS (among other meth- ods). However, our results show the complete op- posite. In fact, SGNS outperforms ... See full document
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Improving word alignment for low resource languages using English monolingual SRL
... where α represents the inside probabliity, α ′ is the new estimated inside probability, (s, t) are the output language sentence spans, (i, j) are the English SRL parse spans. To ensure that we are not testing on any ... See full document
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Improving sparse word similarity models with asymmetric measures
... that the advantages of rank bias are tied to im- proved similarity estimation when comparing vec- tors of very different dimensionality. We then turn to the problem of finding a word’s nearest semantic neighbors. ... See full document
6
Improving Word Alignment by Adjusting Chinese Word Segmentation
... of word segmentation adjustment is to adjust the segmentation of Chinese words such that we have as many 1-to-1 links to the English words as ...a word could be the boundary of a morpheme, there is no ... See full document
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Improving word similarity by using ppmic with estimates of word polysemy
... correlation similarity between “Resign” and “to sign up again,” since only a fraction of “Resign” occurrences have the same meaning of “to sign up ...a word is being used, which do not prevent to make more ... See full document
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Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity
... The alignment models produced are asymmet- ric and several heuristics exist to combine direc- tional word alignments to improve alignment ac- ...of word-to-word links retrieved by ... See full document
8
Improving Word Alignment with Bridge Languages
... obtained using a di- rect model. The alignment combination (AC1) be- haves differently from other bridge systems in that it gives a higher AER and a higher BLEU relative to None ... See full document
9
Word to word alignment strategies
... data using, for example, measures of co-occurrence ...cal alignment models ...string similarity measures ...data using linguistic and contextual features associated with aligned ...certain ... See full document
7
Improving Word Alignment of Rare Words with Word Embeddings
... a word-aligned bilingual corpus that contains 447 sentence pairs (Och and Ney, ...2000b). Using larger data sets can result in better learning for the model, and in order to create corpora with different ... See full document
7
Improving Word Alignment Using Linguistic Code Switching Data
... training word alignment and MT ...a word alignment model training ...by using the code switching data, we can jointly train a word alignment model and a language model ... See full document
9
Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word Similarity
... English-Chinese. Word-based methods were pro- posed in (Kay and R¨oscheisen, 1993; Chen, 1993; Wu, 1994; Melamed, 1996; Ma, 2006), based on lex- ical ...and word-based methods as shown in (Moore, 2002; ... See full document
8
Improving Word Alignment Quality using Morpho syntactic Information
... of improving the alignment quality for different language pairs using different types of morpho- syntactic information, like for example to use word stems and suffixes for morphologicaly rich ... See full document
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