We demonstrate our large-scale NLP systems: WISDOM X, DISAANA, and D-SUMM. WISDOM X provides numerous possible answers including unpredictable ones to widely diverse natural language questions to provide deep insights about a broad range of issues. DISAANA and D-SUMM enable us to assess the damage caused by large-scale disasters in real time using Twitter as an information source.

This paper introduces a new corpus of consulting dialogues designed for training a dialogue manager that can handle consulting dialogues through spontaneous interactions from the tagged dialogue corpus. We have collected more than 150 hours of consulting dialogues in the tourist guidance domain. We are developing the corpus that consists of speech, transcripts, speech act (SA) tags, morphological analysis results, dependency analysis results, and semantic content tags. This paper outlines our taxonomy of dialogue act (DA) annotation that can describe two aspects of an utterance: the communicative function (SA), and the semantic content of the utterance. We provide an overview of the Kyoto tour dialogue corpus and a preliminary analysis using the DA tags. We also show a result of a preliminary experiment for SA tagging via Support Vector Machines (SVMs). We introduce the current states of the corpus development In addition, we mention the usage of our corpus for the spoken dialogue system that is being developed.

In order to investigate the effect of source language on translations, we investigate two variants of a Korean translation corpus. The first variant consists of Korean translations of 162,308 Japanese sentences from the ATR BTEC (Basic Expression Text Corpus). The second variant was made by translating the English translations of the Japanese sentences into Korean. We show that the source language text has a large influence on the target text. Even after normalizing orthographic differences, fewer than 8.3\% of the sentences in the two variants were identical. We describe in general which phenomena differ and then discuss how our analysis can be used in natural language processing.