{"id":"https://openalex.org/W7126465777","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.117","title":"Morphology Aware Source Term Masking for Terminology-Constrained NMT","display_name":"Morphology Aware Source Term Masking for Terminology-Constrained NMT","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126465777","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.117"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.117","pdf_url":"https://aclanthology.org/2024.findings-eacl.117.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.117.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035960421","display_name":"Ander Corral","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ander Corral","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5067981207","display_name":"Xabier Saralegi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xabier Saralegi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57320759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6854000091552734,"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":0.6854000091552734,"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":0.10750000178813934,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.029200000688433647,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.49799999594688416},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4867999851703644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34369999170303345},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3091000020503998},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2856999933719635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716000199317932},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4867999851703644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4172999858856201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3091000020503998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.296099990606308},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.117","pdf_url":"https://aclanthology.org/2024.findings-eacl.117.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.117","pdf_url":"https://aclanthology.org/2024.findings-eacl.117.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4177651107311249}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126465777.pdf","grobid_xml":"https://content.openalex.org/works/W7126465777.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Terminology-constrained":[0],"NMT":[1],"systems":[2,77],"facilitate":[3],"the":[4,16,21,33,44,54,58,61,73,90,95,100,107,153],"forced":[5],"translation":[6,118],"of":[7,25,43,57,94,113,123,141],"domain-specific":[8],"vocabulary.A":[9],"notable":[10,150],"method":[11,51,115,155],"in":[12,32,116,148,159,163],"this":[13,36],"context":[14],"is":[15,70,139],"copy-and-inflect":[17,45,76,154],"approach,":[18],"which":[19],"appends":[20],"target":[22,84,108],"term":[23,102,109,160],"lemmas":[24],"constraints":[26,59],"to":[27,48,80,88,128,132,157],"their":[28],"corresponding":[29],"source":[30,55,82,101,124],"terms":[31,56],"input":[34,62],"sentence.In":[35],"work,":[37],"we":[38,134],"propose":[39],"a":[40,143,149],"novel":[41],"adaptation":[42],"method,":[46],"referred":[47],"as":[49],"morph-masking.Our":[50],"involves":[52],"masking":[53],"from":[60],"sentence":[63],"while":[64],"retaining":[65],"essential":[66],"grammatical":[67],"information.Our":[68],"approach":[69],"based":[71],"on":[72],"hypothesis":[74],"that":[75,137],"have":[78,135],"access":[79],"both":[81],"and":[83,130],"terms,":[85],"allowing":[86],"them":[87],"generate":[89],"correct":[91],"surface":[92],"form":[93],"constraint":[96,145,165],"by":[97],"either":[98],"translating":[99],"itself":[103],"or":[104],"properly":[105],"inflecting":[106],"lemma.Through":[110],"extensive":[111],"validation":[112],"our":[114],"two":[117],"directions":[119],"with":[120],"different":[121],"levels":[122],"morphological":[125],"complexity,":[126],"Basque":[127],"Spanish":[129],"English":[131],"German,":[133],"demonstrated":[136],"morph-masking":[138],"capable":[140],"providing":[142],"harder":[144],"signal,":[146],"resulting":[147],"improvement":[151],"over":[152],"(up":[156],"38%":[158],"accuracy),":[161],"especially":[162],"challenging":[164],"scenarios.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-02T00:00:00"}
