13. An apparatus for real time identification of topics in text, comprising: means for forming a battery of topics from training data; means for detecting topic changes in said text, using said battery and a first threshold ratio; means for identifying topics in said text, using said battery and a second threshold ratio; wherein said detecting and identifying means are applied to said text in real time, wherein said first and second threshold ratios compare a metric having a likelihood measure, and wherein a topic can be identified for a current segment of said text prior to detecting a topic change in said segment.
16. The apparatus of claim 13 wherein said identifying step performs translation of segmented text using topic labeling of each segment.