This is the first issue of volume 31 of the Nordic Journal of Linguistics. The NJL is the journal of the Nordic Association of Linguists. Individuals may subscribe to the Nordic Journal of Linguistics by joining the Nordic Association of Linguists. The NAL membership form can be found on the Cambridge University Press web site of the NJL, <http://uk.cambridge.org/journals/njl/>, as well as on the NAL web site, <http://cc.joensuu.fi/linguistics/nal>. We are well aware that there have been problems with joining the NAL in the not so distant past, but we have reasons to hope that soon such problems will only be a memory.

The second issue of Volume 32 (December 2009) of the Nordic Journal of Linguistics will be a special issue devoted to sociolinguistics, edited by Frans Gregersen and Unn Røyneland.

In Modern Swedish certain groups of morphemes are systematically involved in word forms that would be expected to get Accent 2 but that surface with Accent 1. Thus, Swedish infinitives usually get Accent 2 (grip-a ‘seize’), but in combination with certain prefixes, that were borrowed from Middle Low German, infinitives will always be Accent 1 (be-grip-a ‘comprehend’). The dominance and systematic occurrence of Accent 1 suggests viewing it as the lexically specified accent. In this article we are looking for historical facts about these types of words and morphemes to see if we can draw any conclusions concerning lexical accent specification for native vs. non-native morphemes. By investigating the comments on rhymes and accents in the 18th-century poetic manual by Anders Nicander (1707–1781) in combination with his own rhymed verse we can provide information about 18th-century and modern tonal oppositions in Swedish.

The Icelandic language is a morphologically complex language, for which a large tagset has been created. This paper describes the design of a linguistic rule-based system for part-of-speech tagging Icelandic text. The system contains two main components: a disambiguator, IceTagger, and an unknown word guesser, IceMorphy. IceTagger uses a small number of local elimination rules along with a global heuristics component. The heuristics guess the functional roles of the words in a sentence, mark prepositional phrases, and use the acquired knowledge to force feature agreement where appropriate. IceMorphy is used for guessing the tag profile for unknown words and for automatically filling tag profile gaps in the lexicon. Evaluation shows that IceTagger achieves 91.54% accuracy, a substantial improvement on the highest accuracy, 90.44%, obtained using three state-of-the-art data-driven taggers. Furthermore, the accuracy increases to 92.95% by using IceTagger along with two data-driven taggers in a simple voting scheme. The development time of the tagging system was only seven man-months, which can be considered a short development period for a linguistic rule-based system.

Long-distance dependencies have been the object of much theoretical interest in the Scandinavian languages and in general, but the empirical foundation for theorizing has been limited. The present paper investigates extraction from complement and adverbial clauses in Danish using acceptability judgment and reading-time measures. Extraction from adverbial clauses was found to be rated near the bottom of the scale and to be associated with a processing cost. This was also true of extraction in adverbial clauses in semantically cohesive sentences, which Jensen (2001a, b) has suggested is acceptable. It is concluded that under the conditions investigated extraction from adverbial clauses in Danish is associated with a processing cost and very low acceptability ratings, despite semantic cohesion.