A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information

This paper studies the differences between different types of newspapers in expressing temporal information, which is a topic that has not received much attention. Techniques from the fields of temporal processing and pattern mining are employed to investigate this topic. First, a corpus annotated with temporal information is created by the author. Then, sequences of temporal information tags mixed with part-of-speech tags are extracted from the corpus. The TKS algorithm is used to mine skip-gram patterns from the sequences. With these patterns, the signatures of the four newspapers are obtained. In order to make the signatures uniquely characterize the newspapers, we revise the signatures by removing reference patterns. Through examining the number of patterns in the signatures and revised signatures, the proportion of patterns containing temporal information tags and the specific patterns containing temporal information tags, it is found that newspapers differ in ways of expressing temporal information.Comment: 19 page

Issues in Designing a Corpus of Spoken Irish

This paper describes the stages involved in implementing a corpus of spoken Irish. This pilot project (consisting of approximately 140K of transcribed data) implements parts of the design of a larger corpus of spoken Irish which it is hoped will contain approximately 2 million words when complete. It hoped that such a corpus will provide material for linguistic research, lexicography, the teaching of Irish and for development of language technology for the Irish language