Латентное семантическое индексирование

Latent Semantic Indexing (LSI) approach provides a promising solution to overcome the language barrier between queries and documents, but unfortunately the high dimensions of the training matrix is computationally prohibitive …...

Research on document similarity has shown that complex representations are not more accurate than the simple bag-of- words. Term clustering, e.g. using latent semantic indexing, word co-occurrences or synonym relations …...

Query Expansion was designed to overcome the barren query words issued by user and has been applied in many commercial products. This treatment tries to expand query words to identify …...

In this paper, we describe our experiences in extending a standard cross-language in- formation retrieval (CLIR) approach which uses parallel aligned corpora and Latent Semantic Indexing. Most, if not all, …...

This study is about the development of a learner-focused text readability indexing tool for second language learners (L2) of English. Student essays are used to cali- brate the system, making …...

We describe our system for WMT2015 Shared Task on Quality Estimation, task 1, sentence-level prediction of post-edition effort. We use baseline features, Latent Semantic Indexing based features and fea- tures …...