Suoidne-varra-bleahkka-mála-bihkka-senet-dielku ‘hay-blood-ink-paint-tar-mustard-stain’ – Should compounds be lexicalized in NLP?

• Main Authors: Wiechetek, Linda, Argese, Chiara, Pirinen, Tommi A., Trosterud, Trond
• Format: Book
• Language: English
• Published: Accademia University Press 2021
• Subjects: Computational Linguistics; Fine-grained sentiment analysis; Distributional Semantics; Quantitative Linguistic Investigations; Gender Bias; Depression from Social Media; Online Hate Speech; Automatic Sarcasm Detection; TrAVaSI; AriEmozione; AEREST; COVID-19; Linguistic Ostracism in Social Networks; Multilingual NLU; E3C Project; DistilBERT; Twitter during Pandemic; lang; litt; North Sámi; sami
• Online Access: http://books.openedition.org/aaccademia/8979

Lexicalizing compounds, in addition to treating them dynamically, is a key element in giving us idiomatic translations and detecting compound errors. We present and evaluate an e-dictionary (NDS) and a grammar checker (GramDivvun) for North Sámi. We achieve a coverage of 98% for NDS-queries and of 96% for compound error detection in GramDivvun. La lessicalizzazione delle parole composte, in aggiunta a trattarle in maniera dinamica, è un elemento chiave per ottenere traduzioni idiomatiche e rilevare errori nelle stesse. Presentiamo e valutiamo un e-dizionario (NDS) e un correttore grammaticale (GramDivvun) per il Sami del Nord. Otteniamo una copertura del 98% per le ricerche in NDS e del 96% per il rilevamento di errori nelle parole composte in GramDivvun.