Lausekorpus

Lausekorpus, meaning sentence corpus in Finnish, is a collection of sentences compiled for linguistic research and natural language processing. It is designed to represent language use in a planned or targeted way and to support analyses of syntax, morphology, semantics, and discourse. A lausekorpus may be monolingual, containing sentences in a single language, or multilingual, including aligned translations across languages. The data can originate from newspapers, books, transcripts, web texts, or user-generated content, and is typically selected to meet research or application requirements such as domain, register, or size.

Annotation and structure: Many lausekorpus assets include various levels of annotation. Common layers include tokenization, part-of-speech tagging, syntactic structure (dependency or constituency trees), morphological tagging, named-entity recognition, and sometimes semantic roles or coreference. Annotation can be manual, automatic, or a mix, with quality control and inter-annotator agreement reported.

Formats and standards: corpora may be stored in plain text with metadata, or in structured formats such as XML, JSON, or CoNLL-U for parsed data. Multilingual or parallel corpora often use alignment metadata and bilingual dictionaries. In Finnish NLP, lausekorpus often aligns with universal dependencies or language-specific annotation schemes.

Applications: Lausekorpus are used to train and evaluate language models, parsers, POS taggers, and machine translation systems; they also support linguistic research on syntax, morphology, lexical semantics, and language variation. They are widely used in education and corpus linguistics to illustrate language patterns.

Considerations: Access and licensing, representativeness, bias, and privacy are important. Researchers document provenance, sampling methods, and annotation guidelines to ensure reproducibility and transparency.