本文探討我國中學程度翻譯試題的中文試題與英文解答的詞彙對列問題。我們先利用漢 英字典作為基礎,找尋互為翻譯的漢英詞對;然後利用未被對列的剩餘詞彙之間的共現 關係,以五種過去在文獻中探索過的計分方式,來尋找與界定更多的互譯詞彙組合。在 超過 17,000 道試題為基礎的測試中,我們以人工檢視計分機制給予高分的部分對列詞 彙的正確性。實驗結果顯示,進一步利用未對列詞彙的方法,可以把對列成果的 F measure 從 76.9%提高到 83.7%。 Abstract We study the word alignment between the Chinese problems and the English answers for the English-Chinese translation tests at the high school level in Taiwan. After...

We present in this paper our submission to task 13 of SemEval2015, which makes use of background information and external resources (DBpedia and Wikipedia) to automatically disambiguate texts. Our approach follows two routes for disambiguation: one route is proposed by a state–of–the–art WSD system, and the other one by the predominant sense information extracted in an unsupervised way from an ...

Accounts of bilingual cognitive advantages suggest an associative link between cross-linguistic competition and inhibitory control. We investigate this link by examining English-Spanish bilinguals' parallel language activation during auditory word recognition and nonlinguistic Stroop performance. Thirty-one English-Spanish bilinguals and 30 English monolinguals participated in an eye-tracking s...

Over the last few years, we have experienced a steady growth in e-commerce. This growth introduces many problems for services that want to aggregate product information and offerings. One of the problems that aggregation services face is the matching of product categories from different Web shops. This paper proposes an algorithm to perform this task automatically, making it possible to aggrega...

We present an alternative method to the use of overlapping as a distance measure in simple Lesk algorithm. This paper presents an algorithm that uses Alpha-Beta associative memory type Max and Min to measure a given ambiguous word’s meaning in relation to its context, assigning to the word the meaning that is most related. The principal advantage of using this algorithm is the ability to deal w...

Recent work has made available a number of standardized metaanalyses bearing on various aspects of infant language processing. We utilize data from two such meta-analyses (discrimination of vowel contrasts and word segmentation, i.e., recognition of word forms extracted from running speech) to assess whether the published body of empirical evidence supports a bottom-up versus a top-down theory ...

Effective cognitive functioning not only relies on brain activity elicited by an event, but also on activity that precedes it. This has been demonstrated in a number of cognitive domains, including memory. Here, we show that brain activity that precedes the effective encoding of a word into long-term memory depends on the availability of sufficient processing resources. We recorded electrical b...

We describe two adaptation strategies which are used in our word segmentation system in participating the Microblog word segmentation bake-off: Domain invariant information is extracted from the in-domain unlabelled corpus, and is incorporated as supplementary features to conventional word segmenter based on Conditional Random Field (CRF), we call it statistic-based adaptation. Some heuristic r...

AIMS Recent European guidelines recommend to include high-density lipoprotein (HDL) cholesterol in risk assessment for primary prevention of cardiovascular disease (CVD), using a SCORE-based risk model (SCORE-HDL). We compared the predictive performance of SCORE-HDL with SCORE in an independent, contemporary, 'low-risk' European population, focusing on ability to identify those in need of inten...

The problem of pronunciation evaluation of sentences is defined as the combination of word based subjective pronunciation scores. The mean subjective word score criterion is proposed and modeled with the combination of word-based objective assessment. The word objective metric requires no a priori studies of common mistakes, and it makes use of class based language models to incorporate wrong a...