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This detection is based on statistical data obtained from the corpus and allows us to classify part-of-speech tags into classes that play specific roles in the parse trees. These classes are then used to construct the parse tree of new sentences via a set of deterministic rules. Aiming to asses the viability of the method on different languages, we have tested it on English, Spanish, Italian, Hebrew, German, and Chinese. We have obtained a significant improvement over other unsupervised approaches for some languages, including English, and provided, as far as we know, the first results of this kind for others.<\/jats:p>","DOI":"10.1017\/s1351324914000072","type":"journal-article","created":{"date-parts":[[2014,6,4]],"date-time":"2014-06-04T09:05:45Z","timestamp":1401872745000},"page":"397-422","source":"Crossref","is-referenced-by-count":0,"title":["Pattern-based unsupervised parsing method"],"prefix":"10.1017","volume":"22","author":[{"given":"JES\u00daS","family":"SANTAMAR\u00cdA","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LOURDES","family":"ARAUJO","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2014,6,4]]},"reference":[{"key":"S1351324914000072_ref021","unstructured":"Seginer Y. 2007b. Learning Syntactic Structure. 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