How have music emotions been described in Google books? Historical trends and corpus differences

Google Books N-gram Corpus used as a Grammar Checker

In this research we explore the possibility of using a large n-gram corpus (Google Books) to derive lexical transition probabilities from the frequency of word n-grams and then use them to check and suggest corrections in a target text without the need for grammar rules. We conduct several experiments in Spanish, although our conclusions also reach other languages since the procedure is corpus-...

Syntactic Annotations for the Google Books NGram Corpus

We present a new edition of the Google Books Ngram Corpus, which describes how often words and phrases were used over a period of five centuries, in eight languages; it reflects 6% of all books ever published. This new edition introduces syntactic annotations: words are tagged with their part-of-speech, and headmodifier relationships are recorded. The annotations are produced automatically with...

How Does Music Elicit Emotions?

A Parallel Corpus of Music and Lyrics Annotated with Emotions

In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each of them including a music component, provided in the MIDI format, as well as a lyrics component, made available as raw text. We then describe our work on enhancing this corpus with emotion annotations using crowdsourc...

How Integrated Have Chinese Provinces Been?

This paper analyzes the pattern of provincial economic integration in China for the period 1991−98 by means of an errorcomponents model that decomposes provincial sectoral real valueadded growth into common national effects, industry-specific effects and province-specific effects. We find significant comovements in the long run although province-specific factors still account for one-third of t...