Suggesting relevant terms during text entry

A system for analyzing reports, comprising

• a section analyzer for determining a division of a plurality of reports into sections;
• a common section determiner for determining a plurality of sections common to a plurality of the reports;
• a term extractor for extracting a plurality of terms from the common sections of the reports, and associating each term with the section and report in which it occurs;
• a co-occurrence statistics generator for generating a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of at least one first term, at least one first section, a second term, a second section, and a frequency in which reports contain the at least one first term in the at least one first section in combination with the second term in the second section, wherein the at least one first section is different from the second section.

A method of suggesting autocompletion terms during text entry of a report, comprising

• enabling a user to enter a text into a current report;
• determining a plurality of sections of the current report;
• detecting a section of the current report which the user is working on, thus obtaining a current section;
• extracting a term occurring in the current report, thus obtaining an extracted term, and identifying a section of the current report in which the extracted term occurs, thus obtaining an extracted term section, wherein the extracted term section and the current section are different sections;
• accessing a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of at least one first term, at least one first section, a second term, a second section, and a frequency in which reports in a knowledge domain contain the at least one first term in the at least one first section in combination with the second term in the second section;
• selecting at least one frequently co-occurring term, based on the extracted term, the extracted term section, the current section, and at least one of the co-occurrence statistics, wherein the selection of the at least one frequency co-occurring term for a portion of a term entered in the current section is based on at least one of the co-occurrence statistics associated with the extracted term in the extracted term section;
• and
• providing an indication of the at least one frequently co-occurring term to the user.

A method of analyzing a plurality of reports, comprising

• determining a division of the reports into sections;
• determining a plurality of sections common to a plurality of the reports;
• extracting a plurality of terms from the common sections of the reports, and associating each term with the section and report in which it occurs;
• and
• generating a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of at least one first term, at least one first section, a second term, a second section, and a frequency in which reports contain the at least one first term in the at least one first section in combination with the second term in the second section, wherein the at least one first section is different from the second section.