The impact of differences in text segmentation on the automated quantitative evaluation of song-lyrics.

ABSTRACT: The text-evaluation application Coh-Metrix and natural language processing rely on the sentence for text segmentation and analysis and frequently detect sentence limits by means of punctuation. Problems arise when target texts such as pop song lyrics do not follow formal standards of written text composition and lack punctuation in the original. In such cases it is common for human transcribers to prepare texts for analysis, often following unspecified or at least unreported rules of text normalization and relying potentially on an assumed shared understanding of the sentence as a text-structural unit. This study investigated whether the use of different transcribers to insert typographical symbols into song lyrics during the pre-processing of textual data can result in significant differe

SUBMITTER: Tegge F 

PROVIDER: S-EPMC7652311 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature