Drai and Grodzinsky have statistically analyzed a large corpus of data on the comprehension of passives by patients with Broca's aphasia. The data come, according to Drai and Grodzinsky, from binary choice tasks. Among the languages that are analyzed are Dutch and German. Drai and Grodzinsky argue that Dutch and German speaking Broca patients…

We respond to critical comments and consider alternative statistical and syntactic analyses of our target paper which analyzed comprehension scores of Broca's aphasic patients from multiple sentence types in many languages, and showed that Movement but not Complexity or Mood are factors in the receptive deficit of these patients. Specifically, we…

Discusses statistical word indexing for Japanese information-retrieval systems and proposes a new method that uses statistics about characters to evaluate a bi-gram's likelihood of being a word boundary. Describes a new segmentation strategy that extracts some overlapping segments and results in higher retrieval effectiveness. (Author/LRW)

Discusses problems that occur in information retrieval when foreign words appear in Korean texts. Describes an algorithm that identifies a phrase containing a foreign word and then extracts that word based on statistical information, and explains a method for back-transliteration of a foreign word to its English origin. (Author/LRW)

An experiment compared the tagging of two languages: Czech, a highly inflected language with a high degree of ambiguity, and English. For Czech, the corpus was one gathered in the 1970s at the Czechoslovak Academy of Sciences; for English, it was the Wall Street Journal corpus. Results indicate 81.53 percent accuracy for Czech and 96.83 percent…

Compares the success of lexical statistics, content analysis, and function words in determining the true author of "The Federalist." The function word approach proved most successful in attributing the papers to James Madison. Lexical statistics contributed nothing, while content analytic measures resulted in some success. (MJP)