Phonological representations capture information about individual word forms and about the
general characteristics of word forms in a language. To support the processing of novel word …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Naive Bayes is often used as a baseline in text classification because it is fast and easy to
implement. Its severe assumptions make such efficiency possible but also adversely affect …

This paper presents context-group discrimination, a disambiguation algorithm based on
clustering. Senses are interpreted as groups (or clusters) of similar contexts of the …

Recent advances in computational content analysis have provided scholars promising new
ways for estimating party positions. However, existing text‐based methods face challenges …

Corpus linguistics lacks strategies for describing and comparing corpora. Currently most
descriptions of corpora are textual, and questions such as 'what sort of a corpus is this?', or …

Two recently implemented machine-learning algorithms, RIPPER and slee**-experts for
phrases, are evaluated on a number of large text categorization problems. These algorithms …

1 42.15 Human Rights Watch 46 19.76 die Fortsetzung der 2 39.52 und der Opposition 47
16.07 die Sicherheit der 3 15.81 Russland und der 48 15.81 die Freilassung der 4 32.93 der …

The most frequent statistics in corpus linguistics are frequencies of occurrence and
frequencies of co-occurrence of two or more linguistic variables. However, such frequencies …

Burstiness, a phenomenon initially observed in text retrieval, is the property that a given
visual element appears more times in an image than a statistically independent model …