What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Natural language processing
The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Machine translation, Parsing and Metric.
Alon Lavie integrates Artificial intelligence and Closed captioning in his studies.
His Natural language processing research includes elements of Speech recognition and Word.
His work on Evaluation of machine translation as part of general Machine translation research is frequently linked to Quality, thereby connecting diverse disciplines of science.
His study in Parsing is interdisciplinary in nature, drawing from both Annotation, Syntax, CHILDES and Grammatical relation.
His Translation research incorporates elements of Discriminative model and Pattern recognition.
His most cited work include:
- METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments (2024 citations)
- Meteor Universal: Language Specific Translation Evaluation for Any Target Language (1151 citations)
- METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments (601 citations)
What are the main themes of his work throughout his whole career to date?
Alon Lavie mostly deals with Artificial intelligence, Natural language processing, Machine translation, Speech recognition and Parsing.
Alon Lavie combines subjects such as Machine learning and German with his study of Artificial intelligence.
He has researched Speech recognition in several fields, including Domain, Segmentation, Speech translation, Sentence and Vocabulary.
His Parsing research focuses on CHILDES and how it connects with Annotation.
His biological study spans a wide range of topics, including Scheme, Decoding methods and Pattern recognition.
Evaluation of machine translation and Metric are two areas of study in which he engages in interdisciplinary work.
He most often published in these fields:
- Artificial intelligence (77.98%)
- Natural language processing (66.07%)
- Machine translation (54.76%)
What were the highlights of his more recent work (between 2010-2020)?
- Artificial intelligence (77.98%)
- Machine translation (54.76%)
- Natural language processing (66.07%)
In recent papers he was focusing on the following fields of study:
Alon Lavie focuses on Artificial intelligence, Machine translation, Natural language processing, Machine learning and Translation.
His study in Pattern recognition extends to Artificial intelligence with its themes.
His Machine translation research is multidisciplinary, incorporating perspectives in Language model, Grammar, Rule-based machine translation, Syntax and Phrase.
His Natural language processing study combines topics from a wide range of disciplines, such as Speech recognition, Word and Set.
His research in Machine learning intersects with topics in Test and Word error rate.
His work in Translation addresses issues such as Feature, which are connected to fields such as Inference, Regularization and Data mining.
Between 2010 and 2020, his most popular works were:
- Meteor Universal: Language Specific Translation Evaluation for Any Target Language (1151 citations)
- Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability (441 citations)
- Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems (303 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Natural language processing
Alon Lavie mainly focuses on Artificial intelligence, Machine translation, Natural language processing, Translation and Machine learning.
He combines subjects such as Universal language, Empirical research and Set with his study of Artificial intelligence.
His Machine translation study also includes fields such as
- Language model which is related to area like Transfer-based machine translation,
- Phrase which is related to area like Evaluation of machine translation, Matching, Word error rate and Data science.
Alon Lavie has included themes like Multimedia and Word in his Natural language processing study.
His Translation research is multidisciplinary, incorporating elements of Open source license, Feature, Discriminative model and Software deployment.
His Machine learning study incorporates themes from Text normalization, Statistical hypothesis testing, Inference and Data mining.
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