Vieraan aksentin arviointi ja mittaaminen suomessa

In the field of second language (L2) acquisition, the term `foreign accent´ is often used to refer to speech characteristics that differ from the pronunciation of native speakers. Foreign accent may affect the intelligibility and perceived comprehensibility of speech and it is also sometimes associated with negative attitudes. The degree of L2 learners foreign accent and the speech characteristics that account for it have previously been studied through speech perception experiments and acoustic measurements. Perception experiments have shown that native listeners are easily able to identify foreign accent in speech. However to date, no studies have been done on the assessment of foreign accent in the speech of non-native speakers of Finnish. The aim of this study is to examine how native speakers of Finnish rate the degree of foreign accentedness in the speech of Russian L2 learners of Finnish. Furthermore, phonetic analysis is used to study the characteristics of speech that affect the perceived strength of foreign accent. Altogether 96 native speakers of Finnish listened to excerpts of read-aloud and spontaneous Finnish speech from ten Russian and six Finnish female speakers. The Russian speakers were intermediate and advanced learners of Finnish and had all immigrated to Finland as adults. Among the listeners, was a group of teachers of Finnish as an L2, and it was presumed that these teachers had been exposed to foreign accent in Finnish and were used to hearing it. The temporal aspects and segmental properties of speech were phonetically analysed in the speech of the Russian speakers in order to measure their effect on the perceived degree of accent. Although wide differences were observed in the use of the rating scale among the listeners, they were still quite unanimous on which speakers had the strongest foreign accent and which had the mildest. The listeners background factors had little effect on their ratings, and the ratings of the teachers of Finnish as an L2 did not differ from those of the other listeners. However, a clear difference was noted in the ratings of the two types of stimuli used in the perception experiment: the read-aloud speech was rated as more strongly accented than the spontaneous speech. It is important to note that the assessment of foreign accent is affected by many factors and their complex interactions in the experimental setting. Futher the study found that, both the temporal aspects of speech, often associated with fluency, and the number of single deviant phonetic segments contributed to the perceived degree of accentedness in the speech of the native Russian speakers.

FIN-CLARIN: A Framework for Depositing and Disseminating Language Resources for R&D

Researchers and developers in academia and industry would benefit from a facility that enables them to easily locate, licence and use the kind of empirical data they need for testing and refining their hypotheses and to deposit and disseminate their data e.g. to support replication and validation of reported scientific experiments. To answer these needs initially in Finland, there is an ongoing project at University of Helsinki and its collaborators to create a user-friendly web service for researchers and developers in Finland and other countries. In our talk, we describe ongoing work to create a palette of extensive but easily available Finnish language resources and technologies for the research community, including lexical resources, wordnets, morphologically tagged corpora, dependency syntactic treebanks and parsebanks, open-source finite state toolkits and libraries and language models to support text analysis and processing at customer site. Also first publicly available results are presented.

META-NORD: Towards Sharing of Language Resources in Nordic and Baltic Countries

This paper introduces the META-NORD project which develops Nordic and Baltic part of the European open language resource infrastructure. META-NORD works on assembling, linking across languages, and making widely available the basic language resources used by developers, professionals and researchers to build specific products and applications. The goals of the project, overall approach and specific focus lines on wordnets, terminology resources and treebanks are described. Moreover, results achieved in first five months of the project, i.e. language whitepapers, metadata specification and IPR, are presented.

Finite-State Spell-Checking with Weighted Language and Error Models

In this paper we present simple methods for construction and evaluation of finite-state spell-checking tools using an existing finite-state lexical automaton, freely available finite-state tools and Internet corpora acquired from projects such as Wikipedia. As an example, we use a freely available open-source implementation of Finnish morphology, made with traditional finite-state morphology tools, and demonstrate rapid building of Northern Sámi and English spell checkers from tools and resources available from the Internet.