ELRA-E0003 TC-STAR 2005 Evaluation Package - ASR Spanish
This package includes the material used for the TC-STAR 2005 Automatic Speech Recognition (ASR) first evaluation campaign for the Spanish language. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.
ELRA-E0012-01 TC-STAR 2006 Evaluation Package - ASR Spanish - CORTES
This package includes the material used for the TC-STAR 2006 Automatic Speech Recognition (ASR) second evaluation campaign for the Spanish language within the CORTES task. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.
ELRA-E0012-02 TC-STAR 2006 Evaluation Package - ASR Spanish - EPPS
This package includes the material used for the TC-STAR 2006 Automatic Speech Recognition (ASR) second evaluation campaign for the Spanish language within the EPPS task. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.
ELRA-E0026-01 TC-STAR 2007 Evaluation Package - ASR Spanish - CORTES
This package includes the material used for the TC-STAR 2007 Automatic Speech Recognition (ASR) third evaluation campaign for the Spanish language within the CORTES task. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.
ELRA-E0026-02 TC-STAR 2007 Evaluation Package - ASR Spanish - EPPS
This package includes the material used for the TC-STAR 2007 Automatic Speech Recognition (ASR) third evaluation campaign for the Spanish language within the EPPS task. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.
This corpus consists of approximately 20 minutes of speech (per speaker) from 23 German and 23 Italian intermediate learners of English. Each speaker recorded sentences from several blocks of differing types (reading simple sentences, using minimal pairs, giving answers to multiple choice questions). About 2/3 of the data for each speaker was annotated by linguists. The files were corrected first at the word level, and an automatic recognizer was then used to produce phone-level annotations. The annotator then re-annotated each sentence to mark phone and stress errors (e.g., substitutions, insertions, or deletions).
ELRA-S0238 MIST Multi-lingual Interoperability in Speech Technology database
The MIST Multi-lingual Interoperability in Speech Technology database comprises the recordings of 74 native Dutch speakers (52 males, 22 females) who uttered 10 sentences in Dutch, English, French and German. These sentences comprise 5 sentences per language which are identical for all speakers and 5 sentences per language which are unique for each speaker. Dutch sentences are orthographically annotated.
ELRA-S0268 UPC-TALP database of isolated meeting-room acoustic events
This database has been produced within the CHIL Project (Computers in the Human Interaction Loop), in the framework of an Integrated Project (IP 506909) under the European Commission's Sixth Framework Programme. It contains a set of isolated acoustic events that occur in a meeting room environment and that were recorded for the CHIL Acoustic Event Detection (AED) task. The database can be used as training material for AED technologies as well as for testing AED algorithms in quiet environments without temporal sound overlapping. Approximately 60 sounds per sound class were recorded. Ten people (5 men and 5 women) participated in three sessions. During each session a person had to produce a complete set of sounds twice.
ELRA-W0013 TSNLP (Test Suites for NLP Testing)
The TSNLP project (LRE 62-089) has produced a database of test suites for English, French and German containing over 4,000 test items (sentences or fragment of sentences) per language. The examples have been systematically constructed with detailed annotations about grammatical and other information, and are relevant to developers or users of systems with grammatical components who wish to test, benchmark, or evaluate them.
This corpus contains a part of the corpus developed in the MULTEXT project financed by the European Commission (LRE 62-050). This part contains raw, tagged and aligned data from the Written Questions and Answers of the Official Journal of the European Community. The corpus contains ca. 5 million words in English, French, German, Italian and Spanish (ca. 1 million words par language). About 800,000 words were grammatically tagged and manually checked for English, French, Italian and Spanish, i.e. roughly 200,000 words per language. The same subset for French, German, Italian and Spanish was aligned to English at the sentence level.
ELRA-W0018 ARCADE/ROMANSEVAL corpus
The corpus contains raw data from the JOC corpus developed in the MULTEXT project financed by the European Commission (LRE 62-050), composed of 1 million words in English and four romance languages: French, Italian, Spanish and Portuguese (Written Question and Answers from the Official Journal of the European Commission). The annotation concerns all the contexts of 60 different test words (20 nouns, 20 adjectives, 20 verbs), i.e. ca. 3700 contexts all together. It comprises: semantic tagging of all the occurrences of the test words in the JOC corpus for French and Italian; and word-level alignment of all the occurrences of the test words between French and English.
ELRA-W0031 GeFRePaC - German French Reciprocal Parallel Corpus
The German-French Reciprocal Parallel Corpus (GeFRePaC) was produced through a funding from ELRA in the framework of the European Commission project LRsP&P (Language Resources Production & Packaging - LE4-8335). It is a 30 million word corpus (15 million for each language) built for the purpose of developing, enhancing and improving translation aids (dictionaries, lexicons, platforms) for French-German and German-French translation.
The LT Corpus is composed of 70 fiction texts from Portuguese renowned authors. The corpus contains 1,781,083 tokens. The texts date from before 1940. The corpus is delivered in one file, in two different formats. The txt version has one sentence per line, an identification number for each text and no further annotation. The cqpweb file is one token per line, followed by pos tag and lemma, and is annotated for NP chunks.
The PTPARL Corpus contains 1,076 texts consisting of adapted transcriptions of the Portuguese Parliament sessions. The corpus contains 1,000,441 tokens. The corpus is delivered in one file, in two different formats. The txt version has one sentence per line, an identification number for each text and no further annotation. The cqpweb file is one token per line, followed by pos tag and lemma, and is annotated for NP chunks.
ELRA-W0061 CINTIL-DependencyBank
The CINTIL-DependencyBank (Silva and Branco, 2012) is a corpus of sentences annotated with their syntactic dependency graphs and grammatical function tags composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), novels (399 sentences; 3,082 tokens). In addition, there are 779 sentences (5,654 tokens) that are used for regression testing of the computational grammar that supported the annotation of the corpus.
The CINTIL-DeepBank (Branco et al., 2010) is a corpus of sentences annotated with their full-fledged deep grammatical representations, composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), and novels (399 sentences; 3,082 tokens). In addition, there are 779 sentences (5,654 tokens) used for regression testing of the computational grammar that supported the annotation of the corpus.
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