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[PDF] Top 20 Combining Statistical Translation Techniques for Cross Language Information Retrieval

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Combining Statistical Translation Techniques for Cross Language Information Retrieval

Combining Statistical Translation Techniques for Cross Language Information Retrieval

... token-by-token translation results from thinking of MT systems as black ...modern statistical MT system has internally a series of increasingly rich representations that are exploited during the training ... See full document

18

Leveraging Data Resources for Cross Linguistic Information Retrieval Using Statistical Machine Translation

Leveraging Data Resources for Cross Linguistic Information Retrieval Using Statistical Machine Translation

... We used BPE to subsegment our data after it was already tokenized, lower-cased, and pre- processed in any other manner. Our experimental usage of BPE differed from that described by Kunchukuttan and Bhattacharyya (2016) ... See full document

11

Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters

Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters

... perform Cross-Language Information Retrieval through dictionary-based ...matrix. Statistical Machine Translations have also been tried out in (Schamoni et ...the cross-lingual ... See full document

11

Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering

Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering

... mation retrieval (IR) systems. The cross-lingual QA task, which has been evaluated at CLEF (Magnini et ...the language of the other side, and applying a mono-lingual QA ...the translation ... See full document

6

Adaptation of Statistical Machine Translation Model for Cross Lingual Information Retrieval in a Service Context

Adaptation of Statistical Machine Translation Model for Cross Lingual Information Retrieval in a Service Context

... Other works applied the reranking framework to different NLP tasks such as Named Entities Extraction (Collins, 2001), parsing (Collins and Roark, 2004), and language modelling (Roark et al., 2004). Most of these ... See full document

11

The Effect of Translation Quality in MT Based Cross Language Information Retrieval

The Effect of Translation Quality in MT Based Cross Language Information Retrieval

... of translation resources for bilingual retrieval based on query translation: a bilingual machine-readable diction- ary, a statistical dictionary based on a parallel web corpus and the ... See full document

8

Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF

Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF

... for cross language Information retrieval (Nas- reen and Larkey , ...machine translation purpose was done by Arababi (Arbabi et ...stage statistical model to do back ... See full document

6

An Improvement in Cross-Language Document Retrieval Based on Statistical Models

An Improvement in Cross-Language Document Retrieval Based on Statistical Models

... of translation ambiguity, query generation and searching score which are keys to the retrieval ...best translation can be selected from multiple ones, which occurs in the target documents, the ... See full document

12

Korean-Chinese Person Name Translation for Cross Language Information Retrieval

Korean-Chinese Person Name Translation for Cross Language Information Retrieval

... To translate a Chinese person name written in Korean, we consider two ways that are used to translate a Chinese person name into spoken Korean. The first method uses Sino-Korean pronunciation. For example, consider the ... See full document

9

Embedding Web Based Statistical Translation Models in Cross Language Information Retrieval

Embedding Web Based Statistical Translation Models in Cross Language Information Retrieval

... on statistical language models has gained wide ...generative language models has some important advantages: It contains fewer collection-dependent tuning parameters and is easy to ...the ... See full document

39

Using a Cross Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems

Using a Cross Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems

... the language, machine-readable dictionaries have limited ...stemming techniques, although they tend to increase the level of uncertainty since more words with different meanings are conflated into the same ... See full document

5

Assessing translation quality for cross language image retrieval

Assessing translation quality for cross language image retrieval

... Topic 29 (wartime aviation) and 4 (seating in a church) have very low monolingual average precision scores. For topic 29 this is because relevant images do not contain the terms “wartime” or “aviation”, but rather terms ... See full document

18

Cross Language Information Retrieval for Technical Documents

Cross Language Information Retrieval for Technical Documents

... We extracted 59,533 English/Japanese translations consisting of two base words from the E D R technical terminol- ogy dictionary, which contains about 120,000 translations related to the[r] ... See full document

9

The Evaluation of Systems for Cross-language Information Retrieval

The Evaluation of Systems for Cross-language Information Retrieval

... test retrieval on another type of document collection, serving a different kind of information ...The information which is provided by these social science documents is far more targeted than news ... See full document

6

EuroWordNet as a Resource for Cross-language Information Retrieval

EuroWordNet as a Resource for Cross-language Information Retrieval

... monolingual retrieval (see, for example, (Sanderson, 1994; Jing and Tzoukermann, ...that retrieval algorithms actually perform a similar purpose to WSD algorithms in the sense that they attempt to identify ... See full document

5

Towards Understanding Theoretical Developments in Natural Language Processing

Towards Understanding Theoretical Developments in Natural Language Processing

... natural language interface accepts commands in natural language and sends data to the system which then provides the appropriate responses to the ...natural language interface translates the natural ... See full document

5

A Survey on Improving the Clustering Performance in Text Mining for Efficient Information Retrieval

A Survey on Improving the Clustering Performance in Text Mining for Efficient Information Retrieval

... An initial seed clusters generated using labeled data as well as the using constraints generated from labeled data to guide the clustering process [3]. It uses Seeded-Kmeans and Constrained-Kmeans semi-supervised ... See full document

8

User-centred interface design for cross-language information retrieval

User-centred interface design for cross-language information retrieval

... Designing with a user-centered approach requires that the user be involved from the very beginning. It is important to integrate user’s expertise and knowledge and to understand what people are doing, how, when, and why. ... See full document

5

Effect of Cross Language IR in Bilingual Lexicon Acquisition from Comparable Corpora

Effect of Cross Language IR in Bilingual Lexicon Acquisition from Comparable Corpora

... Within the framework of translation knowledge acquisition from WWW news sites, this paper studies issues on the effect of cross-language retrieval of relevant texts in bilingual lexicon [r] ... See full document

8

Text Mining Research: A Survey

Text Mining Research: A Survey

... Once the document is categorized, a computer program can typically treat the document as a “bag of words” [1]. It doesn’t attempt to process the actual information as information extraction does. ... See full document

8

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