{"id":"https://openalex.org/W2563574619","doi":"https://doi.org/10.18653/v1/d16-1159","title":"Does String-Based Neural MT Learn Source Syntax?","display_name":"Does String-Based Neural MT Learn Source Syntax?","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2563574619","doi":"https://doi.org/10.18653/v1/d16-1159","mag":"2563574619"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1159","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1159","pdf_url":"https://www.aclweb.org/anthology/D16-1159.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1159.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031163887","display_name":"Xing Shi","orcid":"https://orcid.org/0000-0002-3094-5545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001662671","display_name":"Inkit Padhi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inkit Padhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5106821597","display_name":"Kevin Knight","orcid":"https://orcid.org/0000-0001-9117-1718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Knight","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":327,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1526","last_page":"1534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7774738073348999},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6312309503555298},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5826181173324585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49148643016815186},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47585031390190125},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3577616810798645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09600460529327393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774738073348999},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6312309503555298},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5826181173324585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49148643016815186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47585031390190125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3577616810798645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09600460529327393},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1159","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1159","pdf_url":"https://www.aclweb.org/anthology/D16-1159.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1159","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1159","pdf_url":"https://www.aclweb.org/anthology/D16-1159.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2563574619.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W168425931","https://openalex.org/W1486649854","https://openalex.org/W1551202288","https://openalex.org/W1632114991","https://openalex.org/W1681397005","https://openalex.org/W1832693441","https://openalex.org/W1951216520","https://openalex.org/W1976373002","https://openalex.org/W2064675550","https://openalex.org/W2093664665","https://openalex.org/W2101105183","https://openalex.org/W2105103433","https://openalex.org/W2120615054","https://openalex.org/W2121714637","https://openalex.org/W2130942839","https://openalex.org/W2131744502","https://openalex.org/W2144002870","https://openalex.org/W2153653739","https://openalex.org/W2157331557","https://openalex.org/W2165666205","https://openalex.org/W2166781037","https://openalex.org/W2187089797","https://openalex.org/W2251719990","https://openalex.org/W2251939518","https://openalex.org/W2963069010","https://openalex.org/W2964159778"],"related_works":["https://openalex.org/W4243252198","https://openalex.org/W2118300983","https://openalex.org/W2112962394","https://openalex.org/W3137189469","https://openalex.org/W4235530921","https://openalex.org/W2382501300","https://openalex.org/W3162240892","https://openalex.org/W4245713008","https://openalex.org/W2013111119","https://openalex.org/W4246531319"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":91},{"year":2019,"cited_by_count":86},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}