Word Alignment
Enriching Word Alignment with Linguistic Tags
... translation, word alignment is a crucial intermediate stage indicating corresponding word relations in parallel ...statistical word alignment models are unsupervised algorithms (Brown ...
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Confidence Measure for Word Alignment
... with word alignment, from which we obtained phrase translation ...MaxEnt word alignment as well as the alignment with confidence-based link filtering, then trans- late the test set with ...
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Data Cleaning for Word Alignment
... As the above definition shows, the purpose of the word alignment task is to obtain a lexical translation probability p( ¯ f i |¯ e i ) , which is a 1 : n uni-directional word alignment. The ...
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Using Senses in HMM Word Alignment
... a word alignment system. While the alignment results in themselves weren’t significantly better, alignment probabilities to senses have been shown to be generated, which make it pos- sible to ...
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Improving Word Alignment with Bridge Languages
... incorrect alignment links between a sentence-pair can be cor- rected when a translation in a third language is avail- ...in word align- ment. We combine word alignments using several bridge languages ...
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Word Alignment with Synonym Regularization
... improving word alignment performance when the sentence pairs were col- lected from a homogeneous data ...the word alignment model by using a large number of sen- tence pairs collected from ...
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Word Alignment via Quadratic Assignment
... discriminative word alignment methods have achieved state-of-the-art accuracies by extend- ing the range of information sources that can be easily incorporated into ...matching word tokens, including ...
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Hierarchical Search for Word Alignment
... Automatic word alignment is generally accepted as a first step in training any statistical machine translation ...Generative alignment models like IBM Model-4 (Brown et ...
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Word to word alignment strategies
... Word alignment is the task of identifying trans- lational relations between words in parallel cor- pora with the aim of re-using them in natu- ral language ...of word alignment techniques are ...
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Knowledge Intensive Word Alignment with KNOWA
... A new run of GIZA++ on the revised EuroCor gave the following result: P:62.0%, R:34.7% on all word alignment; P:53.2%, R:38.3% on content words only. These results compare badly with those reported by (Och ...
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Word Alignment Combination over Multiple Word Segmentation
... new word alignment combination approach on language pairs where one language has no explicit word ...combining word alignments of dif- ferent models (Xiang et ...combine word alignments ...
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Word Order Typology through Multilingual Word Alignment
... of word order using multilingual word alignment and high-precision annotation transfer in a corpus with 1144 translations in 986 lan- guages of the New ...ent word order ...different ...
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Improving Word Alignment by Adjusting Chinese Word Segmentation
... Word alignment is an important preprocessing task for statistical machine ...statistical word alignment methods proposed since the IBM models have been ...treat word tokens as basic ...
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Consistency Aware Search for Word Alignment
... conventional word alignment search algorithms usually ignore the consistency constraint in translation rule extraction, improving alignment accuracy does not necessarily increase translation ...
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Regularizing Mono and Bi Word Models for Word Alignment
... To alleviate the problem, in this paper we explore regularity terms that penalize the used parameters. They share the advan- tages of the standard training in that itera- tive schemes decompose over the sentence pairs. ...
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Improving Word Alignment of Rare Words with Word Embeddings
... can result in better alignments. Bilingual word embedding models like (Zou et al., 2013; Søgaard et al., 2015) train vectors for words in both languages in the same vector space, Hence a translation model can be ...
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Generalized Agreement for Bidirectional Word Alignment
... While agreement-based learning provides a principled approach to training a generative mod- el, it constrains that the sub-models must share the same output space. Our work extends (Liang et al., 2006) to introduce ...
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A Discriminative Matching Approach to Word Alignment
... We have presented a novel discriminative, large- margin method for learning word-alignment models on the basis of arbitrary features of word pairs. We have shown that our method is suit- able for the ...
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Evaluation of Word Alignment Systems
... The problem of approximating precision and recall in word alignment systems is to deal with partially correct link proposals and null links properly. Partially correct links include proposals that contain ...
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Multi Word Expression Sensitive Word Alignment
... partial alignment annotation for word ...tial alignment into word alignment, 1 which is in a similar manner to Graca et ...partial alignment anno- tation based on cognate ...
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