213 records matched your query       

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001 C4F2DD34586511EA978CCE3397128E48
003 SILO
005 20200226010029
008 181116s2018    caua     b    001 0 eng d
020    $a 1681733757
020    $a 9781681733753
020    $a 1681733730
020    $a 9781681733739
035    $a (OCoLC)1066067075
040    $a ESEHU $b eng $e rda $b spa $e rdc $c ESEHU $d ESALI $d ESEHU $d YDXIT $d SILO
050  4 $a P308 $b .S646 2018
082 04 $a 418.020285 $2 23
100 1  $a Specia, Lucia, $e author.
245 10 $a Quality estimation for machine translation / $c Lucia Specia, Carolina Scarton, Gustavo Henrique Paetzold.
264  1 $a [San Rafael, California] : $b Morgan & Claypool Publishers, $c [2018]
300    $a xiii, 148 pages ; $c 24 cm.
490 1  $a Synthesis lectures on human language technologies ; $v #39
504    $a Includes bibliographical references.
505 8  $a 2. Quality estimation for MT at subsentence level -- 2.1 Introduction -- 2.2 Applications -- 2.3 Labels -- 2.4 Features -- 2.4.1 Word-level features -- 2.4.2 Phrase-level features -- 2.5 Architectures -- 2.5.1 Non-sequential approaches -- 2.5.2 Sequential approaches -- 2.5.3 APE-based approaches -- 2.6 Evaluation -- 2.7 State-of-the-art results -- 2.7.1 The predictor-estimator approach -- 2.7.2 Unbabel's hybrid approach -- 2.7.3 The APE-based approach
505 8  $a 3. Quality estimation for MT at sentence level -- 3.1 Introduction -- 3.2 Applications -- 3.3 Labels -- 3.4 Features -- 3.4.1 Complexity features -- 3.4.2 Fluency features -- 3.4.3 Confidence features -- 3.4.4 Adequacy features -- 3.4.5 Pseudo-reference and back-translation features -- 3.4.6 Linguistically motivated features -- 3.5 Architectures -- 3.6 Evaluation -- 3.7 State-of-the-art results
505 8  $a 4. Quality estimation for MT at document level -- 4.1 Introduction -- 4.2 Applications -- 4.3 Labels -- 4.3.1 Labels for evaluating Gisting -- 4.3.2 Labels for measuring post-editing effort -- 4.4 Features -- 4.4.1 Complexity features -- 4.4.2 Fluency features -- 4.4.3 Adequacy features -- 4.4.4 Discourse-aware features -- 4.4.5 Word embedding features -- 4.4.6 Consensus and pseudo-reference features -- 4.5 Architectures -- 4.6 Evaluation -- 4.7 State-of-the-art results -- 4.7.1 Referential translation machines -- 4.7.2 Document embeddings -- 4.7.3 Best post-editing effort and gisting systems
505 8  $a 5. Quality estimation for other applications -- 5.1 Text simplification -- 5.1.1 Applications -- 5.1.2 Labels -- 5.1.3 Features -- 5.1.4 Architectures -- 5.1.5 Evaluation -- 5.1.6 State-of-the-art results -- 5.2 Automatic text summarization -- 5.2.1 The summary assessment approach -- 5.2.2 The summary ranking approach -- 5.3 Grammatical error correction -- 5.3.1 The "there's no comparison" approach -- 5.3.2 Fluency and meaning preservation -- 5.4 Automatic speech recognition -- 5.5 Natural language generation -- 5.5.1 The QE ranking approach -- 5.5.2 QE for browse pages
505 8  $a 6. Final remarks -- 6.1 Future directions -- 6.2 Resources and toolkits -- Bibliography -- Authors' biographies.
650  0 $a Machine translating $x Evaluation.
650  4 $a Reconocimiento automatico del habla.
650  4 $a Procesamiento en lenguaje natural (Informatica).
700 1  $a Scarton, Carolina, $e author.
700 1  $a Paetzold, Gustavo Henrique, $e author.
830  0 $a Synthesis lectures on human language technologies ; $v lecture #39.
941    $a 1
952    $l OVUX522 $d 20220317014635.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=C4F2DD34586511EA978CCE3397128E48