READ ME for the "MWE_combinet_release_1.0" dataset

The resource contains a manually validated dataset of 1,682 Italian multiword expressions (MWE), building on candidates automatically extracted from corpora of contemporary written Italian. The resource is fully described in Masini et al. (2020).

The Excel file contains the following information:

- "COMPLETE LEMMATIZED MWE": lemmatized version of the MWE.
- "LEMMA 1": the first lemma of the MWE.
- "LEMMA 2": the second lemma of the MWE.
- "LEMMA 3": the third lemma of the MWE.
- "LEMMA 4": the fourth lemma of the MWE.
- "LEMMA 5": the fifth lemma of the MWE.
- "POS PATTERN": the POS pattern of the MWE, following the Tanl POS Tagset (Appendix 1); the full list of POS patterns used for candidate extraction is available in Lenci et al. (2017) (Appendix 2).
- "CORPUS": the corpus from which the MWE was extracted, either REP (la Repubblica; Baroni et al. 2004), or PAISA (PAISA'; Lyding et al. 2014) or both (REP+PA).
- "LL_REP": log likelihood value for the la Repubblica corpus.
- "FQ_REP": raw frequency value for the la Repubblica corpus.
- "LL_PA": log likelihood value for the PAISA' corpus.
- "FQ_PA": raw frequency value for the PAISA' corpus.

Appendix 1. Relevant portion of the Tanl POS Tagset (from: http://medialab.di.unipi.it/wiki/Tanl_POS_Tagset)

Value 	Description
A 	adjective
AP 	possessive adjective
B 	adverb
BN 	negation adverb
C 	conjunction
CC 	coordinate conjunction
CS 	subordinate conjunction
D 	determiner
DI 	indefinite determiner
E 	preposition
EA 	articulated preposition
N 	cardinal number
NO 	ordinal number
R 	article
RD 	determinative article
RI 	indeterminative article
S 	common noun
V 	verb

Appendix 2. List of POS patterns (from Lenci et al. 2017)

['a', 'a']
['a', 'cc', 'a']
['a', 'e', 's']
['a', 'e', 'v'] 
['a', 'ea', 's'] 
['a', 's'] ['a', 'v']
['b', 'a']
['no', 's']
['s', 'a']
['s', 'cc', 's']
['s', 'e', 'a']
['s', 'e', 'rd', 's']
['s', 'e', 'rd', ['a', 's']]
['s', 'e', 'rd', ['no', 's']]
['s', 'e', 'rd', ['s', 'a']]
['s', 'e', 'ri', 's']
['s', 'e', 'ri', ['a', 's']]
['s', 'e', 'ri', ['no', 's']]
['s', 'e', 'ri', ['s', 'a']]
['s', 'e', 's']
['s', 'e', 'v']
['s', 'e', ['a', 's']]
['s', 'e', ['s', 'a']]
['s', 'ea', 'a']
['s', 'ea', 's']
['s', 'ea', ['a', 's']]
['s', 'ea', ['s', 'a']]
['s', 'ea', ['no', 's']]
['s', 's']
['s', 'v']
['s', ['s', 'a']]
['s', ['s', 'cc', 's']]
[['s', 'a'], 'ea', 's']
[['s', 'a'], 'a']
[['s', 'a'], 'e', 's']
[['s', 's'], 'a']
[['s', 's'], 'cc', 's']	['v', 'a']
['v', 'b']
['v', 'cs', 'rd', 's']
['v', 'cs', 'ri', 's']
['v', 'e', 'a']
['v', 'e', 'rd', 's']
['v', 'e', 'ri', 's']
['v', 'e', 's']
['v', 'e', 'v']
['v', 'e', ['a', 's']]
['v', 'e', ['n', 's']]
['v', 'e', ['no', 's']]
['v', 'e', ['s', 'a']]
['v', 'ea', 's']
['v', 'ea', ['a', 's']]
['v', 'ea', ['s', 'a']]
['v', 'rd', 'a']
['v', 'rd', 's']
['v', 'rd', ['a', 's']]
['v', 'rd', ['s', 'a']]
['v', 'ri', 'a']
['v', 'ri', 's']
['v', 'ri', ['a', 's']]
['v', 'ri', ['s', 'a']]
['v', 's']
['v', ['n', 's']]
['v', ['s', 'e', 's']]
[['v', 's'], 'e', 's']	['e', 'a']
['e', 'rd', 'a']
['e', 'rd', 's']
['e', 'rd', ['a', 's']]
['e', 'rd', ['no', 's']]
['e', 'rd', ['s', 'a']]
['e', 'ri', 'a']
['e', 'ri', 's']
['e', 'ri', ['a', 's']]
['e', 'ri', ['no', 's']]
['e', 'ri', ['s', 'a']]
['e', 's']
['e', ['a', 'cc', 'a']]
['e', ['a', 's']]
['e', ['a', 'v']]
['e', ['b', 's']]
['e', 'di', 's']
['e', ['no', 's']]
['e', ['s', 'a']]
['e', ['s', 'cc', 's']]
['e', ['s', ['e', 'a']]]
['e', ['s', ['e', 's']]]
['e', ['s', ['ea', 's']]]
['ea', 'a']
['ea', 's']
['ea', ['a', 's']]
['ea', ['a', 'v']]
['ea', ['b', 'a']]
['ea', ['b', 's']]
['ea', ['no', 's']]
['ea', ['s', ['e', 'a']]]
['ea', ['s', ['e', 's']]]
['ea', ['s', ['ea', 's']]]
['ea', ['s', 'a']]
[['e', 's'], 'e']
[['ea', 's'], 'e']	['di', 's'] 
['n', 's'] 
['no', 's']
['e', ['n', 's']] 
['e', ['no', 's']] 
['e', 'rd', ['no', 's']] 
['ea', ['no', 's']]
['ap', 's']
['s', 'ap']
['e', ['ap', 's']] 
['e', ['s', 'ap']] 
['ea', ['ap', 's']] 
['ea', ['s', 'ap']] 
['cs', 's']
['cs', 'a']
['v', 'cc', 'v']
['bn', ['v', 'rd', 's']]
['bn', ['v', 'ri', 's']]
['bn', ['v', 's']]
['bn', ['v', 'b']]

References

Baroni Marco, Bernardini Silvia, Comastri Federica, Piccioni Lorenzo, Volpi Alessandra, Aston Guy & Mazzoleni Marco. 2004. Introducing the La Repubblica Corpus: A Large, Annotated, TEI (XML)-compliant Corpus of Newspaper Italian. In: Proceedings of the Third International Conference on Language Resources and evaluation (LREC), 1771-4. European Language Resources Association, Lisbon.

Lenci Alessandro, Masini Francesca, Nissim Malvina, Castagnoli Sara, Lebani Gianluca E., Passaro Lucia C. & Marco S. G. Senaldi. 2017. How to harvest Word Combinations from corpora: Methods, evaluation and perspectives. Studi e Saggi linguistici. 55(2). 45-68.

Lyding Verena, Stemle Egon, Borghetti Claudia, Brunello Marco, Castagnoli Sara, Dell’Orletta Felice, Dittmann Henrik, Lenci Alessandro & Pirrelli Vito. 2014. The PAISA corpus of Italian webtexts. In: Proceedings of the 9th Web as Corpus Workshop (WaC-9), @EACL 2014, 36-43. EACL (European chapter of the Association for Computational Linguistics).

Masini, Francesca, M. Silvia Micheli, Andrea Zaninello, Sara Castagnoli & Malvina Nissim. 2020.
Multiword expressions we live by:a validated usage-based dataset from corpora of written Italian. In: Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it), Bologna, 1-3 March 2021.