This dataset is a collection of dialogues extracted from the Portugal subreddit with RDET (Reddit Dataset Extraction Tool). It is composed of around 58,964,715 tokens in 218,550 dialogues.

Hesita-POS is an annotaded corpus. Tv News.

CORP-ORAL is a spontaneous speech corpus for European Portuguese. It is the main output of two R&D projects: CORP-ORAL and ORAL-PHON. The data consist of unscripted and unprompted face-to-face dialogues between family, friends, colleagues and unacquainted participants. All recordings are orthogra...

EmoVoicePort, Emotional Vocalization Corpus (see Lima, Castro, & Scott, 2013) is a validated set of nonverbal vocalizations that portray four positive emotions (achievement/triumph, amusement, sensual pleasure, relief) and four negative ones (anger, disgust, fear, sadness). The vocalizations (n =...

EmoProsodyPort (see Castro & Lima, 2010) is a speech database with 368 short sentences and pseudosentences with neutral emotional content. Acoustic measurements and behavioral data.

The Portuguese Parliamentary Corpus is part of the Mutlilingual ParlaMint Corpus, a set of comparable corpora containing transcriptions of parliamentary debates of 29 European countries and autonomous regions. The Portuguese corpus (ParlaMint-PT) comprehends transcripts of sessions in the time pe...

This research proposes a corpus of popular Brazilian Portuguese, called CorPop, with texts selected based on the average level of literacy of the country's readers. CorPop’s theoretical and methodological bases are interdisciplinary and fall within the scope of Language Studies and related discip...

The corpus presented here is a collection of several tutorials and scientific papers in the field of Information Technology with 603 annotated definitions from Portuguese. The texts were collected from the Web at the beginning of the 2006 and they are organised in 32 files of three different sub-...

The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...

The HESITA database is a corpus consisting of television daily news collected over a month and was annotated regarding to hesitation events, acoustical environments, speaking styles, speaker characteristics and respiratory events, among other characteristic sounds.