Results 231 to 240 of about 70,068 (263)
Artificial Intelligence Applied to the Brain-Gut Axis in Irritable Bowel Syndrome: Advancing Toward Clinical Translation. [PDF]
CureusAndafa TW, Imoh EC, Adekanmbi SA.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Machine translation and its evaluation: a study
Artificial Intelligence Review, 2023Subrota Kumar Mondal +2 more
exaly +2 more sources
Evaluation of machine translation
Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011Machine Translation (MT) refers to the use of a machine for performing translation task which converts text or speech from one Natural Language (NL) into another Natural Language. Machine Translation is an important technology for localization, and is particularly relevant in a linguistically diverse country like India.
Manisha Sharma, G. N. Purohit
openaire +1 more source
Evaluation of Machine Translation and its Evaluation
2006Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, machine translation can be evaluated using the well-known measures precision, recall, and their average, the F-measure. The unigram-based F-measure has significantly higher correlation with human judgments than recently proposed alternatives.
Joseph P. Turian +2 more
openaire +2 more sources
Constructive machine translation evaluation
Machine Translation, 1993When surveying the many methods currently employed in MT evaluation,1 it is not immediately obvious that the methods used serve to increase the knowledge of the properties being measured. This report describes aconstructive machine translation evaluation method, aimed at addressing this issue ...
openaire +1 more source
Evaluation of English-to-Urdu Machine Translation
2014This paper is based on the Evaluation of English-to-Urdu Machine Translation. Evaluation measures the quality characteristic of the Machine Translation output and is based on two approaches: Human Evaluation and Automatic Evaluation. In this paper, we are mainly concentrating over Human Evaluation.
Vaishali Gupta +2 more
openaire +1 more source
Evaluating machine translation with LFG dependencies
Machine Translation, 2007In this paper we show how labelled dependencies produced by a Lexical-Functional Grammar parser can be used in Machine Translation evaluation. In contrast to most popular evaluation metrics based on surface string comparison, our dependency-based method does not unfairly penalize perfectly valid syntactic variations in the translation, shows less bias ...
Karolina Owczarzak +2 more
openaire +1 more source
A Machine Learning-Based Evaluation Method for Machine Translation
2010Constructing a classifier that distinguishes machine translations from human translations is a promising approach to automatic evaluation of machine-translated sentences Using this approach, we constructed a classifier using Support Vector Machines based on word-alignment distributions between source sentences and human or machine translations This ...
Katsunori Kotani, Takehiko Yoshimi
openaire +1 more source
Deeper Machine Translation and Evaluation for German.
2016This paper describes a hybrid Machine Translation (MT) system built for translating from English to German in the domain of technical documentation. The system is based on three different MT engines (phrase-based SMT, RBMT, neural) that are joined by a selection mechanism that uses deep linguistic features within a machine learning process.
Burchardt, Aljoscha +4 more
openaire +2 more sources