# Results
## Word-Level Probing: Results (Avg Acc) (2023-10-02)
### Logistic Regression Classifier


## Word-Level Probing: Results (F1-Scores) (2023-10-02)
### Logistic Regression Classifier


## Noise / BLEU correlation results (2023-09-28)
### Sentence-Level: past_present



### Word-Level: dep



## Noise / BLEU correlation results (2023-09-25)
### Sentence-Level: past_present



### Word-Level: dep



## Word-Level Probing: F1-Scores (2023-09-10)
### Logistic Regression Classifier


### Multi-Layer-Perceptron Classifier


## Word-Level Probing: Results (Avg Acc) (2023-09-10)
### Logistic Regression Classifier


### Multi-Layer-Perceptron Classifier


## Word-Level Probing: Noise-Scores (2023-09-10)
### Logistic Regression Classifier
#### sem



### Multi-Layer-Perceptron Classifier



## Word-Level Probing: Noise-Scores (2023-09-01)
### Logistic Regression Classifier
#### dep



#### upos



#### xpos



### Multi-Layer-Perceptron Classifier
#### dep



#### upos



#### xpos



## Word-Level Probing: F1-Scores (2023-08-29)
### Logistic Regression Classifier
#### Probing Tasks Performance


#### Visual vs. Text Encoder


### Multi-Layer-Perceptron Classifier
#### Probing Tasks Performance


#### Visual vs. Text Encoder


## Word-Level Probing: Results (Avg Acc) (2023-08-10)
### Logistic Regression Classifier


### Multi-Layer-Perceptron Classifier


## Word-Level Probing: Results (2023-08-03)
### Logistic Regression Classifier


### Multi-Layer-Perceptron Classifier


## BLEU, Dataset MTTT & WMT: Results (2023-03-29)
### bigram_shift
#### cam

#### l33t

#### swap

### past_present
#### cam

#### l33t

#### swap

### object_number
#### cam

#### l33t

#### swap

### subject_number
#### cam

#### l33t

#### swap

## BLEU, Dataset MTTT: Results (2023-03-29)

## BLEU: Results (2023-03-24)
### bigram_shift
#### cam

#### l33t

#### swap

### past_present
#### cam

#### l33t

#### swap

### object_number
#### cam

#### l33t

#### swap

### subject_number
#### cam

#### l33t

#### swap

## BLEU: Results (2023-03-19)
### bigram_shift
#### cam

#### l33t

#### swap

### past_present
#### cam

#### l33t

#### swap

### object_number
#### cam

#### l33t

#### swap

### subject_number
#### cam

#### l33t

#### swap

## BLEU: Results (2023-03-14)
### bigram_shift
#### cam

#### l33t

#### swap

### past_present
#### cam

#### l33t

#### swap

### object_number
#### cam

#### l33t

#### swap

### subject_number
#### cam

#### l33t

#### swap

## Sentence-Level: Probing Results (2023-02-16)
### Version 1

### Version 2

## Sentence-Level: Noise (2023-02-16)
### bigram_shift
#### cam

#### l33t

#### swap

### past_present
#### cam

#### l33t

#### swap

### object_number
#### cam

#### l33t

#### swap

### subject_number
#### cam

#### l33t

#### swap

## New visualization per Layer (2023-02-09)
### past_present
#### cam

#### l33t

#### swap

### bigram_shift
#### cam

#### l33t

#### swap

## Noise Data; Script Esalesky
### cam


#### cam_0.1
Seit der 2007 / 08 tritt Mintšenkova im Seniorenbereich an .
#### cam_0.2
Seit der 2007 / 08 tritt Mintšenkova im **Soereibceinnerh** an .
#### cam_0.4
Seit der 2007 / 08 tritt **Mtvšnnekoia** im **Sincnerieoeerbh** an .
#### cam_0.8
Seit der 2007 / 08 tritt **Mkvešontnia** im Seniorenbereich an .
### l33t


#### l33t_0.1
**S3it** der 2007 / 08 **tri7t** **Mintš3nk0va** im Seniorenbereich an .
#### l33t_0.2
**Se1t** **d3r** 2007 / 08 **7ritt** **Mintšenk0va** im Seniorenbereich an .
#### l33t_0.4
**53i7** **d3r** 2007 / 08 **tr1tt** **Mintšenk0\/a** im **Sen10r3n8ereich** an .
#### l33t_0.8
**Se17** **d3r** 2007 / 08 **7r177** **M1n7šenk0\/4** **1m** **53n10r3n83r31ch** **4n** .
### swap


#### swap_0.1
Seit der 2007 / 08 tritt Mintšenkova im Seniorenbereich an .
#### swap_0.2
Seit der 2007 / 08 tritt Mintšenkova im Seniorenbereich an .
#### swap_0.4
**eS**it d**re** 20**70** / **80** tritt Mintšenkova im Seniorenbereich an .
#### swap_0.8
**Seti** der 20**70** / **80** tr**ti**t Mintše**kn**ova im Seniorenber**ie**ch na .
## Dataset NOISE, lineplots, fixed range (2022-01-01)
### OBJ
#### swap

#### cam

### SUBJ
#### swap

#### cam

## Dataset NOISE, barplots (2022-12-01)
### OBJ
#### swap

#### cam

### SUBJ
#### swap

#### cam

## Dataset Evaluation (2022-10-21)
### SUBJ

### OBJ

## Dataset Evaluation (2022-10-20)
### SUBJ

### OBJ

## Dataset Evaluation (2022-10-06)
### SUBJ
#### Train





#### Test




### OBJ
#### Train




#### Test




## Dataset Evaluation, Overlay (2022-09-29)
### Subject

### Object

## Dataset Evaluation (2022-09-27)
### Subject

### Object

## Dataset Evaluation (2022-08-25)
### Subject

### Object

## Visual vs. Text Model, fixed balanced data (2022-08-15)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### subj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Visual vs. Text Model, fixed balanced data (2022-08-08)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### subj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Visual vs. Text Model, balanced data (2022-07-29)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### subj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Visual vs. Text Model, clean data + dummy classifier (2022-07-18)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### subj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Visual vs. Text Model, range[0.45, 1.0] (2022-07-18)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Visual vs. Text Model, full view (2022-07-18)
### past_pres
#### classify 10k sentences

#### classify 1k sentences

### obj_num
#### classify 10k sentences

#### classify 1k sentences

### bigram_shift
#### classify 10k sentences

#### classify 1k sentences

## Avg. vs first token tensor (2022-07-15)
### past_pres
#### classify 10k sentences
##### visual

##### text

#### classify 1k sentences
##### visual

##### text

### obj_num
#### classify 10k sentences
##### visual

##### text

#### classify 1k sentences
##### visual

##### text

### bigram_shift
#### classify 10k sentences
##### visual

##### text

#### classify 1k sentences
##### visual

##### text

### subj_num (To-Do, classification error)
#### classify 10k sentences
##### visual
##### text
### classify 1k sentences
#### visual
#### text