{"id":"https://openalex.org/W3130183576","doi":"https://doi.org/10.1109/icmlant50963.2020.9355969","title":"Improving Transformer based Neural Machine Translation with Source-side Morpho-linguistic Features","display_name":"Improving Transformer based Neural Machine Translation with Source-side Morpho-linguistic Features","publication_year":2020,"publication_date":"2020-12-20","ids":{"openalex":"https://openalex.org/W3130183576","doi":"https://doi.org/10.1109/icmlant50963.2020.9355969","mag":"3130183576"},"language":"en","primary_location":{"id":"doi:10.1109/icmlant50963.2020.9355969","doi":"https://doi.org/10.1109/icmlant50963.2020.9355969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlant50963.2020.9355969","pdf_url":null,"source":{"id":"https://openalex.org/S7407086555","display_name":"IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014235946","display_name":"Santwana Chimalamarri","orcid":"https://orcid.org/0000-0003-1343-8792","observed_orcids":["https://orcid.org/0000-0003-1343-8792"]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santwana Chimalamarri","raw_affiliation_strings":["PES University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008942513","display_name":"Dinkar Sitaram","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinkar Sitaram","raw_affiliation_strings":["PES University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026558496","display_name":"Rithik Mali","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rithik Mali","raw_affiliation_strings":["PES University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alex Johnson","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Alex Johnson","raw_affiliation_strings":["PES University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087552370","display_name":"K A Adeab","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K A Adeab","raw_affiliation_strings":["PES University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196608512"],"apc_list":null,"apc_paid":null,"fwci":0.0796,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.22648055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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":0.0044999998062849045,"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":0.0010999999940395355,"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/neural-machine-translation","display_name":"neural machine translation","score":0.9789999723434448},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.7620000243186951},{"id":"https://openalex.org/keywords/morpheme-segmentation","display_name":"morpheme segmentation","score":0.7099999785423279},{"id":"https://openalex.org/keywords/morphological-features","display_name":"morphological features","score":0.8100000023841858},{"id":"https://openalex.org/keywords/kannada","display_name":"Kannada language","score":0.8650000095367432},{"id":"https://openalex.org/keywords/telugu","display_name":"Telugu","score":0.9309999942779541},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.9679999947547913},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.5789999961853027},{"id":"https://openalex.org/keywords/morphologically-complex-languages","display_name":"morphologically complex languages","score":0.8399999737739563},{"id":"https://openalex.org/keywords/linguistic-similarity","display_name":"language similarity","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C2778756302","wikidata":"https://www.wikidata.org/wiki/Q8097","display_name":"Telugu","level":2,"score":0.8544036149978638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211926221847534},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7650763988494873},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6774008274078369},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.6740282773971558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6718587875366211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6581236124038696},{"id":"https://openalex.org/C130597682","wikidata":"https://www.wikidata.org/wiki/Q6961922","display_name":"Transfer-based machine translation","level":4,"score":0.5080480575561523},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.479927122592926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.457397997379303},{"id":"https://openalex.org/C2777261249","wikidata":"https://www.wikidata.org/wiki/Q645804","display_name":"Morpho","level":2,"score":0.42760607600212097},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.29646986722946167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlant50963.2020.9355969","doi":"https://doi.org/10.1109/icmlant50963.2020.9355969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlant50963.2020.9355969","pdf_url":null,"source":{"id":"https://openalex.org/S7407086555","display_name":"IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1089141","https://openalex.org/W1522301498","https://openalex.org/W1810943226","https://openalex.org/W1816313093","https://openalex.org/W1902237438","https://openalex.org/W2101105183","https://openalex.org/W2113788796","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2148392518","https://openalex.org/W2181616869","https://openalex.org/W2250618788","https://openalex.org/W2250750541","https://openalex.org/W2250859223","https://openalex.org/W2395259056","https://openalex.org/W2493916176","https://openalex.org/W2574872930","https://openalex.org/W2579599705","https://openalex.org/W2626778328","https://openalex.org/W2798400986","https://openalex.org/W2866343820","https://openalex.org/W2885588803","https://openalex.org/W2896457183","https://openalex.org/W2948197522","https://openalex.org/W2949303037","https://openalex.org/W2949335953","https://openalex.org/W2949810612","https://openalex.org/W2962784628","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2979826702","https://openalex.org/W2980282514","https://openalex.org/W2980596743","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4401043056","https://openalex.org/W4221155063","https://openalex.org/W2566490639","https://openalex.org/W4292641180","https://openalex.org/W2892205701","https://openalex.org/W2410082850","https://openalex.org/W3110838845","https://openalex.org/W4308804398","https://openalex.org/W3138717572","https://openalex.org/W7010503767"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,33],"aim":[4],"to":[5,35,87,100],"build":[6],"and":[7,75,78,93],"train":[8],"the":[9,37,47,101],"extremely":[10],"popular":[11],"transformer":[12],"neural":[13,19],"network":[14],"architectures":[15],"for":[16,26],"carrying":[17],"out":[18,68],"machine":[20],"translation":[21,38],"under":[22],"low":[23],"resource":[24],"conditions":[25],"a":[27,51,72],"diverse":[28],"pair":[29],"of":[30,42],"languages.":[31,82],"Additionally,":[32],"propose":[34],"improve":[36],"predictions":[39],"in":[40,90],"each":[41],"these":[43],"cases":[44],"by":[45],"augmenting":[46],"source":[48,73],"data":[49],"with":[50],"novel":[52],"linguistically":[53],"driven":[54],"morpheme":[55],"segmentation":[56],"method":[57],"as":[58,60,71,80],"well":[59],"additional":[61],"linguistic":[62],"features.":[63],"The":[64,104],"experiments":[65],"were":[66,85],"carried":[67],"using":[69,109],"Kannada":[70],"language":[74,94],"Telugu,":[76],"Hindi":[77],"English":[79],"target":[81],"These":[83],"pairs":[84],"chosen":[86],"reflect":[88],"diversity":[89],"morphological":[91],"complexity":[92],"similarity,":[95],"ranging":[96],"from":[97],"most":[98],"similar":[99],"least":[102],"similar.":[103],"evaluations":[105],"have":[106],"been":[107],"done":[108],"standard":[110],"BLEU":[111],"score":[112],"metrics.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-03-01T00:00:00"}
