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Found 5 papers, 1 papers with code
Towards High Accuracy Named Entity Recognition for Icelandic
We report on work in progress which consists of annotating an Icelandic corpus for named entities (NEs) and using it for training a named entity recognizer based on a Bidirectional Long Short-Term Memory model.
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models
To train the models we introduce a new corpus of Icelandic text, the Icelandic Common Crawl Corpus (IC3), a collection of high quality texts found online by targeting the Icelandic top-level-domain . is.
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
We show that a byte-level model enables higher correction quality than a subword approach, not only for simple spelling errors, but also for more complex semantic, stylistic and grammatical issues.
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models
To train the models we introduce a new corpus of Icelandic text, the Icelandic Common Crawl Corpus (IC3), a collection of high quality texts found online by targeting the Icelandic top-level-domain (TLD).
Nefnir: A high accuracy lemmatizer for Icelandic
Lemmatization, finding the basic morphological form of a word in a corpus, is an important step in many natural language processing tasks when working with morphologically rich languages.
