Contents Intro.

The Web is a gold-mine of data in diverse categories and characteristics, which contains ones that had been hardly available in past, such as a large amount of text in different languages and data from social media. Such data contributes to accelerate progress of research, and at the same time, brings new challenges. In this talk, I introduce our recent research efforts exploiting such novel data on the Web. First, we exploit Twitter data for classifying spiking queries into their topical categories. Spiking queries show sudden spikes in search engines, which represents users' hot attention to them. Therefore, accurate classification of spiking query is important for search engines. Next, I introduce our effort to extract Japanese-English parallel sentence pairs from the Web. We took 3 approaches to mine such data and carefully developed data cleaning framework to extract only high-quality portion. Then I briefly introduce our approach on Japanese-English statistical machine translation.

Details

Publication year

2013

Form

電子化映像資料(1時間30分40秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成24年度

Note

講演者所属: Microsoft Research Asia

講演日: 平成25年1月29日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

荒瀬, 由紀 (アラセ, ユキ)