RT Book,_Section
T1 Discovering bilingual collocations in parallel corpora: a first attempt at using distributional semantics
A1 García González, Marcos
A1 García Salido, Marcos
A1 Alonso Ramos, Margarita
A2 Doval Reixa, Irene
A2 Sánchez Nieto, M. Teresa
K1 Learning
K1 Conventionalized lexical combinations
K1 Collocations
K1 Bilingual collocation equivalents
AB This chapter presents a method that exploits parallel corpora to automatically extract bilingual collocation equivalents. First, we use dependency parsing and statistical measures to identify collocation candidates in corpora. Then, we leverage the parallel corpora to extract bilingual word-embeddings. Finally, we use these distributional models as probabilistic dictionaries in order to identify bilingual collocation equivalents. To evaluate our strategy we carry out a set of experiments in Portuguese and Spanish focusing on verb-object collocations, for example, “reach the maturity” (“atingir a maturidade” in Portuguese, “alcanzar la madurez” in Spanish). The results of our experiments show that this method is useful to automatically identify thousands of bilingual collocation equivalents, achieving a precision of 86%
PB John Benjamins Publishing Company
SN 9789027262844
YR 2019
FD 2019
LK https://hdl.handle.net/10347/45906
UL https://hdl.handle.net/10347/45906
LA eng
NO Garcia, Marcos, García-Salido, Marcos and Alonso-Ramos, Margarita. "Discovering bilingual collocations in parallel corpora: A first attempt at using distributional semantics". Parallel Corpora for Contrastive and Translation Studies: New resources and applications, edited by Irene Doval and M. Teresa Sánchez Nieto, John Benjamins Publishing Company, 2019, pp. 267-279. https://doi.org/10.1075/scl.90.16gon
NO This work has been supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) through projects FFI2016-78299- P and FFI2014-51978-C2-1-R, by a Juan de la Cierva formación grant (FJCI-2014-22853), and by a postdoctoral fellowship endowed by the Galician Government (POS-A/2013/191)
DS Minerva
RD 3 may 2026