• No results found

alignment error

Alignment Model Adaptation for Domain Specific Word Alignment

Alignment Model Adaptation for Domain Specific Word Alignment

... Using these parameters, we build two adaptation models and a translation dictionary on the training data, which are applied to the testing set. The evaluation results on our testing set are shown in Table 1. From the ...

8

Semi supervised Word Alignment with Mechanical Turk

Semi supervised Word Alignment with Mechanical Turk

... Word alignment is used in various natural language processing ...word alignment as a prepro- cessing step. The quality of word alignment is usually measured by AER, which is loosely related to BLEU ...

5

A Novel System-Level Calibration Method for Gimballed Platform IMU Using Optimal Estimation

A Novel System-Level Calibration Method for Gimballed Platform IMU Using Optimal Estimation

... different error sources, including accelerometers bias, scale factor error, gyros drift, initial alignment error, and IMU case installation error are estimated by this calibration ...

13

Statistical Machine Translation with Word  and Sentence Aligned Parallel Corpora

Statistical Machine Translation with Word and Sentence Aligned Parallel Corpora

... an alignment error rate as low as 6% can be achieved for the Verbmobil data, we automatically generated a set of alignments for the entire training data set using the unmodified ver- sion of ...

8

Empirical Lower Bounds on Aligment Error Rates in Syntax Based Machine Translation

Empirical Lower Bounds on Aligment Error Rates in Syntax Based Machine Translation

... of alignment structures ex- cluded by syntax-based translation systems, occur frequently in hand-aligned parallel corpora, could be taken to indicate that more expressive formalisms are ...extent alignment ...

9

Improving IBM Word Alignment Model 1

Improving IBM Word Alignment Model 1

... in alignment error between each pair of our principal versions of Model 1 by looking at the AER for each sentence pair in the test set using a 2-tailed paired t ...

8

The contributing factors of tapered wedge stem alignment during mini-invasive total hip arthroplasty

The contributing factors of tapered wedge stem alignment during mini-invasive total hip arthroplasty

... stem alignment during insertion, we measured the correlation between the surgical alignment error and original canal antever- sion, age, height, and ...Surgical alignment errors were ...

7

Dependency Forest based Word Alignment

Dependency Forest based Word Alignment

... an alignment model us- ing dependency forests rather than 1-best parses, which makes it possible to provide the model with more alternative parse trees that may be suitable for word alignment ...

7

Tracking and Map Formatting of Road Using Unmanned Ground Vehicle

Tracking and Map Formatting of Road Using Unmanned Ground Vehicle

... tracking error caused by the drift problem in successive homography alignment, we give an online drift-correction scheme, where a comparison is first made between the color distribution of the tracked road ...

12

Performance Analysis of Iterative Closest Point (ICP) Algorithm using Modified Hausdorff Distance

Performance Analysis of Iterative Closest Point (ICP) Algorithm using Modified Hausdorff Distance

... Our work combines the work of [7] using the Comprehensive ICP (CICP) algorithm in conjunction with RANSAC which has not been done before. Also, we have identified Modified Hausdorff distance, described in detail in [23] ...

7

The Use of Text Alignment in Semi Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners

The Use of Text Alignment in Semi Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners

... of error annotated ...text alignment and error annotation. Error annotation can easily be semi-automated with a rule-based system, similar to the one used in this ...letter alignment ...

5

Biologically Motivated Algorithms for Propagating Local Target Representations

Biologically Motivated Algorithms for Propagating Local Target Representations

... LRA-E’s error weights, which are used to directly control the target generation ...in error space (or on the loss surface), as indicated by the initially low angle between updates, this trajectory is not ...

8

Contribution of sex and body constitution to three-dimensional lower extremity alignment for healthy, elderly, non-obese humans in a Japanese population

Contribution of sex and body constitution to three-dimensional lower extremity alignment for healthy, elderly, non-obese humans in a Japanese population

... The sex difference in sagittal alignment was demon- strated in the present study. Men had more knee flexion than women under the standing position. The import- ance of knee flexion is well described as a ...

8

Joint Prediction of Word Alignment with Alignment Types

Joint Prediction of Word Alignment with Alignment Types

... Word alignment is an essential component in a sta- tistical machine translation (SMT) ...word alignment is based on IBM models 1-5 (Brown et ...word alignment have become more widespread with the ...

14

Mapping the progression of
non carious cervical lesions

Mapping the progression of non carious cervical lesions

... The error due to powder application has been reported as a minimum of 20 µm (Pfeiffer, 1999), 20 to 40µm (Mou et ...of error does not appear to have been rigorously ...

211

Mapping the progression of
non carious cervical lesions

Mapping the progression of non carious cervical lesions

... Data alignment, Mapping and alignment precision (DSMatch - Sequential alignment, Varying grid interval and exclusion threshold, Varying exclusion threshold; Polyworks - Sequential alignment, ...

10

A review of image-based automatic facial landmark identification techniques

A review of image-based automatic facial landmark identification techniques

... Yang et al. [60] won both the frontal and profile com- petitions of the 2017 Menpo landmarking challenge using a stacked hourglass convolutional network architecture. The conventional CNN design increases the depth of ...

23

Convolutional aggregation of local evidence for large pose face alignment

Convolutional aggregation of local evidence for large pose face alignment

... We have opted not to report results on LFPW[4], Helen [17] and 300-W[21] which are all frontal datasets containing a small portion of test images and are currently being considered as saturated [35, 37]. Instead we ...

12

Toward a sociocultural approach to feedback provision in L2 writing classrooms: the alignment of dynamic assessment and teacher error feedback

Toward a sociocultural approach to feedback provision in L2 writing classrooms: the alignment of dynamic assessment and teacher error feedback

... such a re-examination by seeking to incorporate Dynamic Assessment (henceforth, DA) concepts and strategies into teacher feedback which is the most widely adopted feedback technique in second language writing classrooms. ...

10

Estimating Word Alignment Quality for SMT Reordering Tasks

Estimating Word Alignment Quality for SMT Reordering Tasks

... There have also been attempts at classifying alignments in other ways, not related to a gold standard. Ahrenberg (2010) proposed several ways to categorize human alignments, including link degree, reordering of links, ...

12

Show all 10000 documents...

Related subjects