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21.
Cross-language effects on reading skills are of particular interest in the context of foreign language immersion programs. Although there is an extensive literature on cross-language effects on reading in general, research focusing on immersion students and including different dimensions of reading acquisition such as reading fluency and reading comprehension is scarce. This study therefore investigated cross-language transfer between first-language (L1) and second-language (L2) reading fluency and reading comprehension in a group of 220 German elementary school students who were enrolled in English partial immersion programs. Students were tested in grades 3 and 4. Structural equation modeling was used to examine cross-language transfer in a cross-lagged panel design. Results showed moderate cross-language paths when controlling for autoregressive effects. These findings are in line with previous results showing reciprocal transfer effects between L1 and L2 reading comprehension and reading fluency. In addition, the overall dominance of paths from L2 to L1 over paths from L1 to L2 suggests immersion-specific relations that may be attributable to the plentiful opportunities for academic reading in the L2 at school. Hence, skills necessary for successful reading can evidently be acquired in an L2 context and transferred to the L1. These findings underline the importance of cross-language transfer between reading skills in immersion programs. 相似文献
22.
Research on cross-language information retrieval (CLIR) has typically been restricted to settings using binary relevance assessments.
In this paper, we present evaluation results for dictionary-based CLIR using graded relevance assessments in a best match
retrieval environment. A text database containing newspaper articles and a related set of 35 search topics were used in the
tests. First, monolingual baseline queries were automatically formed from the topics. Secondly, source language topics (in
English, German, and Swedish) were automatically translated into the target language (Finnish), using structured target queries.
The effectiveness of the translated queries was compared to that of the monolingual queries. Thirdly, pseudo-relevance feedback
was used to expand the original target queries. CLIR performance was evaluated using three relevance thresholds: stringent,
regular, and liberal. When regular or liberal threshold was used, a reasonable performance was achieved. Using stringent threshold,
equally high performance could not be achieved. On all the relevance thresholds the performance of the translated queries
was successfully raised by pseudo-relevance feedback based query expansion. However, the performance of the stringent threshold
in relation to the other thresholds could not be raised by this method. 相似文献
23.
Where American kindergartners are taughtletters and letter sounds, Germankindergartners are not; where American firstand second graders receive an eclectic blend ofwhole language, whole word and phonics-basedapproaches, their German counterparts aretaught by an intensive synthetic phonicsapproach. As a probe to the consequences ofthese pedagogical differences on the emergenceof phoneme awareness, this study administeredtwo tests of phoneme awareness tokindergarten-, first- and second-grade childrenin Germany and America, along with readingtests, the digit span test and a test of RANcolor naming ability. The American kindergartenchildren excelled on a phoneme identityjudgement and a phoneme deletion task that theGerman kindergartners found difficult. Theiradvantage held equally whether the manipulatedsound was a syllable onset or the initial partof a consonant cluster. The first and secondgraders surpassed the kindergartners in bothcountries; however, the German first and secondgraders equaled their American peers on bothtasks and both types of units. In addition,the German children were more accurate decodersof pseudowords by the end of second grade, andthe association between phoneme awareness andGerman decoding ability was weaker. Anincreased emphasis on phonics and the greatertransparency of the German alphabet arediscussed as possible factors in the decodingexcellence of the German second graders and itsdecreased association with phoneme awareness.The contrast between the American and Germankindergartners and the equivalence of the firstand second graders in the two countries areconsistent with a view that phoneme awarenessdevelops primarily as a product of literacyexposure. 相似文献
24.
This paper explores the integration of textual and visual information for cross-language image retrieval. An approach which automatically transforms textual queries into visual representations is proposed. First, we mine the relationships between text and images and employ the mined relationships to construct visual queries from textual ones. Then, the retrieval results of textual and visual queries are combined. To evaluate the proposed approach, we conduct English monolingual and Chinese–English cross-language retrieval experiments. The selection of suitable textual query terms to construct visual queries is the major issue. Experimental results show that the proposed approach improves retrieval performance, and use of nouns is appropriate to generate visual queries. 相似文献
25.
Dictionary-based query translation for cross-language information retrieval often yields various translation candidates having different meanings for a source term in the query. This paper examines methods for solving the ambiguity of translations based on only the target document collections. First, we discuss two kinds of disambiguation technique: (1) one is a method using term co-occurrence statistics in the collection, and (2) a technique based on pseudo-relevance feedback. Next, these techniques are empirically compared using the CLEF 2003 test collection for German to Italian bilingual searches, which are executed by using English language as a pivot. The experiments showed that a variation of term co-occurrence based techniques, in which the best sequence algorithm for selecting translations is used with the Cosine coefficient, is dominant, and that the PRF method shows comparable high search performance, although statistical tests did not sufficiently support these conclusions. Furthermore, we repeat the same experiments for the case of French to Italian (pivot) and English to Italian (non-pivot) searches on the same CLEF 2003 test collection in order to verity our findings. Again, similar results were observed except that the Dice coefficient outperforms slightly the Cosine coefficient in the case of disambiguation based on term co-occurrence for English to Italian searches. 相似文献
26.
We study several machine learning algorithms for cross-language patent retrieval and classification. In comparison with most of other studies involving machine learning for cross-language information retrieval, which basically used learning techniques for monolingual sub-tasks, our learning algorithms exploit the bilingual training documents and learn a semantic representation from them. We study Japanese–English cross-language patent retrieval using Kernel Canonical Correlation Analysis (KCCA), a method of correlating linear relationships between two variables in kernel defined feature spaces. The results are quite encouraging and are significantly better than those obtained by other state of the art methods. We also investigate learning algorithms for cross-language document classification. The learning algorithm are based on KCCA and Support Vector Machines (SVM). In particular, we study two ways of combining the KCCA and SVM and found that one particular combination called SVM_2k achieved better results than other learning algorithms for either bilingual or monolingual test documents. 相似文献
27.
The paper reports on experiments carried out in transitive translation, a branch of cross-language information retrieval (CLIR). By transitive translation we mean translation of search queries into the language of the document collection through an intermediate (or pivot) language. In our experiments, queries constructed from CLEF 2000 and 2001 Swedish, Finnish and German topics were translated into English through Finnish and Swedish by an automated translation process using morphological analyzers, stopword lists, electronic dictionaries, n-gramming of untranslatable words, and structured and unstructured queries. The results of the transitive runs were compared to the results of the bilingual runs, i.e. runs translating the same queries directly into English. The transitive runs using structured target queries performed well. The differences ranged from −6.6% to +2.9% units (or −25.5% to +7.8%) between the approaches. Thus transitive translation challenges direct translation and considerably simplifies global CLIR efforts. 相似文献
28.
This article describes a framework for cross-language information retrieval that efficiently leverages statistical estimation of translation probabilities. The framework provides a unified perspective into which some earlier work on techniques for cross-language information retrieval based on translation probabilities can be cast. Modeling synonymy and filtering translation probabilities using bidirectional evidence are shown to yield a balance between retrieval effectiveness and query-time (or indexing-time) efficiency that seems well suited large-scale applications. Evaluations with six test collections show consistent improvements over strong baselines. 相似文献
29.
分析跨语言信息检索的基本模式和翻译消歧关键技术,采用基于词语对共现率和词语间距加权计算的方法,对查询式翻译进行消歧优化,在此基础上构建跨语言商品信息检索系统并应用于图书商品搜索,实验结果证明翻译质量和检索效果得到提高。 相似文献
30.
Qing Li Yuanzhu Peter Chen Sung-Hyon Myaeng Yun Jin Bo-Yeong Kang 《Information processing & management》2009
For historical and cultural reasons, English phases, especially proper nouns and new words, frequently appear in Web pages written primarily in East Asian languages such as Chinese, Korean, and Japanese. Although such English terms and their equivalences in these East Asian languages refer to the same concept, they are often erroneously treated as independent index units in traditional Information Retrieval (IR). This paper describes the degree to which the problem arises in IR and proposes a novel technique to solve it. Our method first extracts English terms from native Web documents in an East Asian language, and then unifies the extracted terms and their equivalences in the native language as one index unit. For Cross-Language Information Retrieval (CLIR), one of the major hindrances to achieving retrieval performance at the level of Mono-Lingual Information Retrieval (MLIR) is the translation of terms in search queries which can not be found in a bilingual dictionary. The Web mining approach proposed in this paper for concept unification of terms in different languages can also be applied to solve this well-known challenge in CLIR. Experimental results based on NTCIR and KT-Set test collections show that the high translation precision of our approach greatly improves performance of both Mono-Lingual and Cross-Language Information Retrieval. 相似文献