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This paper presents a new strategy for multilingual collocation extraction which takes advantage of parallel corpora to learn bilingual word-embeddings. Monolingual collocation candidates are retrieved using Universal Dependencies, while the distributional models are then applied to search for equivalents of the elements of each collocation in the target languages. The proposed method extracts not only collocation equivalents with direct translation between languages, but also other cases where the collocations in the two languages are not literal translations of each other. Several experiments -evaluating collocations with three syntactic patterns-in English, Spanish, and Portuguese show that our approach can effectively extract large pairs of bilingual equivalents with an average precision of about 90%. Moreover, preliminary results on comparable corpora suggest that the distributional models can be applied for identifying new bilingual collocations in different domains.

This paper presents an exploration of different statistical association measures to automatically identify collocations from corpora in English, Portuguese, and Spanish. To evaluate the impact of the association measures we manually annotated corpora with three different syntactic patterns of collocations (adjective-noun, verb-object and nominal compounds). We took advantage of the PARSEME 1.1 Shared Task corpora by selecting a subset of 155k tokens in the three referred languages, in which we annotated 1, 526 collocations with their Lexical Functions according to the Meaning-Text Theory. Using the resulting gold-standard, we have carried out a comparison between frequency data and several well-known association measures, both symmetric and asymmetric. The results show that the combination of dependency triples with raw frequency information is as powerful as the best association measures in most syntactic patterns and languages. Furthermore, and despite the asymmetric behaviour of collocations, directional approaches perform worse than the symmetric ones in the extraction of these phraseological combinations.

El objetivo de este trabajo es mostrar las diferentes concepciones existentes en la lexicografía española de lo que se entiende por diccionario combinatorio. Dado que no hay consenso sobre cuál debe ser el objeto de un diccionario combinatorio, nos centraremos en la concepción teórica de las colocaciones, tal y como se entiende en la Lexicología explicativa y combinatoria (Mel’čuk 2012). A continuación nos detendremos en la descripción de los tres diccionarios combinatorios del español actuales (Redes, Práctico y DiCE), para pasar a mostrar el diseño de una nueva herramienta en línea que sirve para ayudar a escoger colocaciones en el proceso de escritura.

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