A multilingual usage consultation tool based on internet searching

Tanaka-Ishii, Kumiko

doi:10.1145/1060745.1060800

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…This difference is significant. A similar outcome was reported in Tanaka-Ishii and Nakagawa (2005), where one of the languages was French; results for French, which accounts for just 3.0% of the Web content, were worse than those for either English or Japanese. Thus, Tonguen's performance reflects the amount of data on the Internet.…”

Section: Tonguen Versus Altavistasupporting

confidence: 76%

“…In our previous system, reported in Tanaka -Ishii and Nakagawa (2005), the candidate borders are detected at increasing points of the branching number, rather than at increasing points of entropy. Precisely, the function h in inequality (4) in Section 3 is replaced by another function g, which counts the number of kinds of successive tokens in the trie structure.…”

Section: Comparison Among Various Tonguen Settingsmentioning

confidence: 83%

“…The first preliminary version of the system based on this philosophy was reported in Tanaka- Ishii and Nakagawa (2005). At that time, however, the method adopted in this preliminary system was not well formulated.…”

Section: Overall System Designmentioning

confidence: 99%

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Multilingual phrase-based concordance generation in real-time

Tanaka-Ishii

Ishii²

2007

Inf Retrieval

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We present software that generates phrase-based concordances in real-time based on Internet searching. When a user enters a string of words for which he wants to find concordances, the system sends this string as a query to a search engine and obtains search results for the string. The concordances are extracted by performing statistical analysis on search results and then fed back to the user. Unlike existing tools, this concordance consultation tool is language-independent, so concordances can be obtained even in a language for which there are no well-established analytical methods. Our evaluation has revealed that concordances can be obtained more effectively than by only using a search engine directly.

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Section: Tonguen Versus Altavistasupporting

confidence: 76%

Section: Comparison Among Various Tonguen Settingsmentioning

confidence: 83%

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Multilingual phrase-based concordance generation in real-time

Tanaka-Ishii

Ishii²

2007

Inf Retrieval

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“…Likewise, the Kiwi/Tonguen systems [Tanaka-Ishii and Ishii 2007;Tanaka-Ishii and Nakagawa 2005] fill templates provided by users. However, in latent relational search, to find the answer, the relation provided in the source pair must be extracted or represented by some means.…”

Section: Related Workmentioning

confidence: 99%

Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus

Duc

Bollegala

Ishizuka

2012

ACM Transactions on Asian Language Information Processing

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Latent relational search is a novel entity retrieval paradigm based on the proportional analogy between two entity pairs. Given a latent relational search query {(Japan, Tokyo), (France, ?)}, a latent relational search engine is expected to retrieve and rank the entity "Paris" as the first answer in the result list. A latent relational search engine extracts entities and relations between those entities from a corpus, such as the Web. Moreover, from some supporting sentences in the corpus, (e.g., "Tokyo is the capital of Japan" and "Paris is the capital and biggest city of France"), the search engine must recognize the relational similarity between the two entity pairs. In cross-language latent relational search, the entity pairs as well as the supporting sentences of the first entity pair and of the second entity pair are in different languages. Therefore, the search engine must recognize similar semantic relations across languages. In this article, we study the problem of cross-language latent relational search between Japanese and English using Web data. To perform cross-language latent relational search in high speed, we propose a multi-lingual indexing method for storing entities and lexical patterns that represent the semantic relations extracted from Web corpora. We then propose a hybrid lexical pattern clustering algorithm to capture the semantic similarity between lexical patterns across languages. Using this algorithm, we can precisely measure the relational similarity between entity pairs across languages, thereby achieving high precision in the task of cross-language latent relational search. Experiments show that the proposed method achieves an MRR of 0.605 on JapaneseEnglish cross-language latent relational search query sets and it also achieves a reasonable performance on the INEX Entity Ranking task.

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“…Additionally, search engines rank the results from usages, but they are not ranked in terms of linguistic relevance. Therefore, Kiwi, a language-independent tool to sum up search engine results is devised [5]. However, there are not any techniques that support both contents and language-independent for satisfying users to obtain results.…”

Section: Related Workmentioning

confidence: 99%

Information searching protocol: a smart protocol for specific content search over the Internet

Bhattarakosol

Preechaveerakul

2006

SPIE Proceedings

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Currently, information is very important to Internet users. Unfortunately, searching for specific information from the Internet is not easy as wishes. The existing search engine mechanisms cannot be performed using a pathname of URL as a search key. Therefore, users who have a partial pathname of URL cannot use their knowledge to narrow down the search results. Thus, users have to spend a long time searching for the required web site from the result list. This paper proposes a search protocol named Information Searching Protocol (ISP) that supports the multiple search contents for users who know a partial pathname of URL and keywords. Moreover, the architecture of the Global Search Engine System (GSES) that cooperates with the ISP and is responsible for the search mechanism is also proposed. The GSES consists of two separated parts: an Internet Search Protocol agent at the client site, and GSES components at the server site. These components allow users to perform the search using a pathname of URL composing with keywords. The functions of GSES components indicate that the ISP enhances the search mechanism. So, users receive more specific URL and can, shortly, get access to the required site.

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A multilingual usage consultation tool based on internet searching

Cited by 10 publications

References 12 publications

Multilingual phrase-based concordance generation in real-time

Multilingual phrase-based concordance generation in real-time

Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus

Information searching protocol: a smart protocol for specific content search over the Internet

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