target word
Target word prediction and paraphasia classification in spoken discourse
... The performance of our language models on the top-n ranked evaluation can be seen in Table 1. The log-bilinear model outperformed the FST in all cases. This finding is similar to state of the art results for automatic ...
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Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
... In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique. In this task, the ...
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Generating Example Contexts to Illustrate a Target Word Sense
... We gave three native English-speaking college- educated judges the examples to evaluate indepen- dently, blind to their intended sense. They filled in a table for each target word. The left column listed ...
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Translation Selection through Source Word Sense Disambiguation and Target Word Selection
... Translation Selection through Source Word Sense Disambiguation and Target Word Selection Hyun Ah Leeyz and Gil Chang Kimy yDept of EECS, Korea Advanced Institute of Science and Technology (KAIST), 373[.] ...
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Discriminative Word Alignment with a Function Word Reordering Model
... umn of A and can either add an alignment point (l, m ′ ) or move an existing one (including to null, thus deleting it). A LIGN E XCLUSIVE adds an align- ment point (l, m) and deletes all other points from row m. Finally, ...
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Opinion mining with target extraction using word identification
... a word alignment ...a word alignment model, and method captures opinion relations more precisely and therefore is more effective for opinion target and opinion word extraction ...opinion ...
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Improving Word Alignment by Adjusting Chinese Word Segmentation
... In the aligning phase, the original IBM model 1 does not work properly as we expected. Because the English words prefer to link to single character and it results that some correct Chinese translations will not be ...
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Partially Supervised Word Alignment Method for Co-Extracting Opinion Target and Opinion Words with Polarity Classification
... a word alignment ...complex word relations, such as long span ...opinion target word “screen”. The word alignment model can identify an opinion target and its corresponding ...as ...
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Target side Word Segmentation Strategies for Neural Machine Translation
... investigate word segmen- tation strategies that incorporate more lin- guistic ...informed target word seg- mentation is better suited for NMT, lead- ing to improved translation quality on the order ...
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Improving Word Alignment of Rare Words with Word Embeddings
... This paper deals with the alignment task for the rare words by proposing a new alignment model based on the low-dimensional representations of the words. We explore the effect of replacing words with their vector space ...
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Investigations on Word Senses and Word Usages
... In this paper we will explore using graded re- sponses for sense tagging within a novel annota- tion paradigm. Modeling the annotation frame- work after psycholinguistic experiments, we do not train annotators to conform ...
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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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Word Node2Vec: Improving Word Embedding with Document Level Non Local Word Co occurrences
... show word- node2vec results with optimal parameter ...the word-node graph are more important than transi- tive ones (2nd plot from the left and the rightmost plot of Figure ...
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Reconstruction of Word Embeddings from Sub Word Parameters
... sub- word parameters must reproduce the topology of word embeddings which are not always morpho- logically coherent ...tasks: word similarity, word analogy, and POS ...the word topology ...
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Using Bilingual Segments in Generating Word to word Translations
... Some of the French suffixes ‘´e’, ‘´ee’, ‘´es’, ‘´ees’, ‘u’, ‘ue’ (and others) were wrongly paired with ‘ou’, ‘aram’, ‘eu’, ‘eram’, ‘iu’, ‘iram’ in PT. Generally, these past participle French forms need an auxiliary verb ...
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Word Maturity: Computational Modeling of Word Knowledge
... scalar word difficulty and current corpus-based methods for its estimation are ...called word meaning maturity which tracks the degree of knowledge of each word at dif- ferent stages of language ...
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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 ...
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Bootstrapping Word Alignment via Word Packing
... The same concept can be expressed in different lan- guages using varying numbers of words; for exam- ple, a single Chinese word may surface as a com- pound or a collocation in English. This is fre- quent for ...
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Word Boundary Decision with CRF for Chinese Word Segmentation
... In this work, we analyze the relationship between WBD (Huang et al., 2007) and 4-tag character tagging approach for Chinese word segmentation. There are two main differences between them: One is category ...
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