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While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian. Although these languages are only relatively resource-poor, the same method can be in principle applied to any inflected language, as long as there is an annotated corpus of a related language available. Time needed for adjusting the system to a new language constitutes a fraction of the time needed for systems with extensive, manually created resources: days instead of years. This book touches upon a number of topics: typology, morphology, corpus linguistics, contrastive linguistics, linguistic annotation, computational linguistics and Natural Language Processing (NLP). Researchers and students who are interested in these scientific areas as well as in cross-lingual studies and applications will greatly benefit from this work. Scholars and practitioners in computer science and linguistics are the prospective readers of this book.

Grammar, Comparative and general --- Computational linguistics --- Language transfer (Language learning) --- Cross-language information retrieval --- Russian language --- Czech language --- Spanish language --- Portuguese language --- Catalan language --- Cognate words --- Corpora (Linguistics) --- Morphosyntax --- Transfer, Language (Language learning) --- Language acquisition --- Language and languages --- Morphosyntactic features --- Bohemian language --- Slavic languages, Western --- CLIR (Cross-language information retrieval) --- Multilingual information retrieval --- Polyglot information retrieval --- Information retrieval --- Machine translating --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Mathematical linguistics --- Multilingual computing --- Romance languages --- Castilian language --- Slavic languages, Eastern --- Study and teaching --- Morphology --- Syntax --- Data processing --- Etymology --- Computational linguistics. --- Cross-language information retrieval. --- Morphosyntax. --- Philology --- Grammar, Comparative and general - Morphosyntax --- Russian language - Morphosyntax --- Czech language - Morphosyntax --- Spanish language - Morphosyntax --- Portuguese language - Morphosyntax --- Catalan language - Morphosyntax

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On behalf of the Program Committee, a very warm welcome to the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020). This edition of the conference is held in Bologna and organised by the University of Bologna. The CLiC-it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after six years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges.

Linguistics --- 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 --- COVID-1