# Ensemble and Deep Learning for Language-Independent Automatic Selection of Parallel Data
## 3 Materials and Methods
### Annotation

Table 2: Examples of similar segments. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**ID** & **Source** & **Trans 1** & **Trans 2** & **Trans3** & **Reference** \\ \hline
6 & Nothing yet but & Ancora niente, ma & Ancora niente, ma & Ancora niente, ma & Ancora niente ma \\  & they did say there & hanno detto che & hanno detto che & hanno detto che & hanno detto che \\  & was a LOT of & c’era una scoc di & c’era una LOT di & c’era un LOT di & c’era una SACCO \\  & students in this & studenti in & studenti in & studenti in & di studenti in \\  & course. & questo cosro. & questo cosro. & questo cosro. & questo cosro. \\ \hline
7 & I thought it would & Pensavo che & Ho pensato che & Ho pensato che & Ho pensato che \\  & be nice if there was & sarebelle bello se & sarebelle bello se & sarebelle bello se ci & sarebelle bello se ci \\  & one lesson every & fosse una lezione & se ci fosse una lezione & fosse una lezione & fosse una lezione \\  & day instead of & ogni giorno invece & lezione ogni giorno invece & giorno invece del \\  & giving us a sack & di darci un & invece di darci un & di darci un sacco di & sacco pieno di \\  & full of lessons on & sacchetto pieno di & sacco di lezioni in & lerzioni su & lezioni che c diate \\  & one day itself. & lezioni di & un solo giorno. & un giorno. & in un giorno. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Segments example of Source, Trans1, 2, 3 and Reference. **ID: 1** We have chosen Trans 3 for two reasons:  
1. The translation of _think: Penso_, is the same as in the Reference. 2. Even though it is not the best translation, Trans3 is the only model that translated the phrase _he is_. **ID: 2** We have chosen Trans 3 for three reasons:  
1. The translation of _By the end: Alla fine del_, is the same as in the Reference. 2. Trans 3 is the only model that translated correctly the past participle _executed_: _eseguite_. 3. Trans 3 is the only model that translated the verb _go: vanno_. Although, as Trans 1 and Trans 2 did, Trans 3 also translated _emotionally reasoned_ by a pleonasm: _emotivamente motivate_. **ID: 3** We have chosen Trans 3 for two reasons:  
1. Trans 3 is the model that did not erroneously translate _Its_ as a possessive adjective, as Trans 1 and Trans 2 did (_La sua_). In the segment _Its_ is not a possessive adjective but the third person from of the Present Tense of the verb _to be (It's)_. We consider that Trans 3 recognized that _Its_ is the verb _to be_ but it did not put \(\hat{E}\), as Trans 3 \"always\" puts a question mark to all accepted vowels, as Trans 1 and Trans 2 also do. 2. Trans 3 recognized and translated (_che impari_) the dependence relation between the main clause (_It's a platform_) and the subordinate clause (_you learn_). On the other hand, Trans 3 did not put first (and correctly) the word _diversi_, as Trans 1 and Trans 2 did. **ID: 4** We have chosen Trans 1 for three reasons:  
1. Trans 1's translation of _The whole world_: _Il mondo intero_ is the best translation, enclosing the _whole_ meaning of the word and is the same as the Reference's. Trans 2 and Trans 3' translation: _Tutto_ is not so strong for accurately translating the word _whole_. 2. Trans1 is the only model that translated the multi-semantic verb _to get_ correctly (_diventare_). 3. Trans1 translated the Present Continuous Tense correctly: _is getting_ by _sta diventando_, giving thereby the sense of the present, of the action and of its duration. Trans3 did the same, but with the wrong verb. On the other hand, Trans1 did not translate _to_ by _per_ to give the sense of this target preposition. **ID: 5** We have chosen Trans 2 for one main reason:  
Trans 2 is the only model that correctly translated the verb _I'm studing_, erroneously written in the _Source_ (without the apostrophe). We suppose that because of this error, Trans 1 and Trans 3 did not