Hontology

Hontology (H stands for hotel, hostal and hostel) (available at http://ontolp.inf.pucrs.br/Recursos/downloads-Hontology.php) is a new multilingual ontology for the accommodation sector freely available, containing 282 concepts categorized into 16 top-level concepts. The concepts of other voca...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese, English, Spanish, French
Dizer

DiZer 2.0 is a web interface for discourse parsing. It is based on DiZer (Pardo and Nunes, 2008), the first discourse parser for Brazilian Portuguese. The system aims at producing the discourse structure of a source text following the Rhetorical Structure Theory – RST (Mann and Thompson, 1987), o...

Resource Type:Tool / Service
Language:Portuguese
RudriCo-POS

RudriCo-POS is a part-of-speech disambiguation tool that performs 188 morphological disambiguation rules.

Resource Type:Tool / Service
Language:Portuguese
LexMan-ChunkerTokenizer

LexMan-ChunkerTokenizer is a tokenizer and sentence splitter tool. Marks sentence boundaries, multi-word boundaries. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.

Resource Type:Tool / Service
Language:Portuguese
MARv-DISAMB

MARv-DISAMB is a part-of-speech disambiguation tool (probabilistic disambiguation module).

Resource Type:Tool / Service
Language:Portuguese
Grafone-Tool

Grafone-Tool is a tool for conversion from grapheme to phoneme for European Portuguese. The converter works with the Portuguese spelling, both prior to and after the Orthographic Agreement of 1990.

Resource Type:Tool / Service
Language:Portuguese
Inquirições reais

Inquirições reais de 1258, publicadas em Portugaliae Monumenta Historica). Royal inquiries of 1258 (primarily published in the Portugaliae Monumenta Historica)

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-4WAnalogiesBR

The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

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