| | 3 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/error.png)]] |
| | 4 | |
| | 5 | == Topics == |
| | 6 | * Statistical machine translation |
| | 7 | * Extension of translation memories |
| | 8 | * Domain-speci |
| | 9 | c machine translation |
| | 10 | * Machine translation between close languages |
| | 11 | * Sub-word level machine translation |
| | 12 | |
| | 13 | == Statistical machine translation == |
| | 14 | |
| | 15 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/trans.png)]] |
| | 16 | |
| | 17 | == Improving statistical machine translation == |
| | 18 | * free state-of-the-art tools available (SRILM, Moses) |
| | 19 | * baseline SMT available for everyone |
| | 20 | * languages with high number of wordforms need special treatment |
| | 21 | * '''dělám, děláš, dělal, dělajícímu, dělaje, děláním, ...''' |
| | 22 | |
| | 23 | '''magas, magasabb, legmagasabb, legeslegmagasabb, ...''' |
| | 24 | * language models can be enriched with linguistic knowledge |
| | 25 | |
| | 26 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/kings.png)]] |
| | 27 | |
| | 28 | |
| | 29 | == Word alignment matrix - from words to phrases == |
| | 30 | |
| | 31 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/word_matrix1.png)]] |
| | 32 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/word_matrix2.png)]] |
| | 33 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/word_matrix3.png)]] |
| | 34 | |
| | 35 | |
| | 36 | == Domain-speci |
| | 37 | c machine translation == |
| | 38 | * straightforward way of increasing quality of MT |
| | 39 | * domain-speci |
| | 40 | c corpora can be downloaded on demand |
| | 41 | * separate models for each domain: ''' sports, cooking, gardening''' |
| | 42 | * one sense per domain: '''bat''' |
| | 43 | |
| | 44 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/bat.png)]] |
| | 45 | |
| | 46 | * translations of |
| | 47 | * product details, product descriptions in e-shops, |
| | 48 | * manuals, warranty certi |
| | 49 | cates, |
| | 50 | * user interface localizations, ... |
| | 51 | |
| | 52 | |
| | 53 | == Machine translation between close languages == |
| | 54 | * West and South Slavic languages: Czech, Slovak, Polish, Serbian, Croatian, Slovene |
| | 55 | * MT mainly on word level, structure is very similar |
| | 56 | * di |
| | 57 | erences can be described systematically by rules: |
| | 58 | '''hraje na klavíri''' <-> '''hraje na klavír''' |
| | 59 | * billion-word corpora available for these languages |
| | 60 | * dictionaries can be generated semi-automatically |
| | 61 | |
| | 62 | * -> searching for duplicates in close languages (reprinted news) |
| | 63 | |
| | 64 | == MT quality, European languages == |
| | 65 | |
| | 66 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/lang_matrix.png)]] |
| | 67 | |
| | 68 | |
| | 69 | == Sub-word level machine translation == |
| | 70 | * SMT principle applied on character level |
| | 71 | * translation on subword level (English -> Czech) |
| | 72 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/trans1.png)]] |
| | 73 | * translation across levels |
| | 74 | [[Image(/trac/research/raw-attachment/wiki/en/MachineTranslation/trans2.png)]] |
| | 75 | |
| | 76 | * -> translation of out-of-dictionary words |
| | 77 | |
| | 78 | |
| | 79 | == Conclusions == |
| | 80 | * generating new segments for translation memories |
| | 81 | * domain-speci |
| | 82 | c translation |
| | 83 | * translation between close languages |
| | 84 | * sub-word level translation |
