Add to ORKGMultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Processing (NLP) especially for Machine Translation (MT). In this paper, we describe a strategy for detecting translation pairs of MWEs in a French-English parallel corpus. In addition we introduce three methods aiming to integrate extracted bilingual MWES in MOSES, a phrase based Statistical Machine Translation (SMT) system. We experimentally show that these textual units can improve translation quality
We conduct a pilot study for task-oriented evaluation of Multiword Expression (MWE) in Statistical M...
Bilingual lexicons of multiword expressions play a vital role in several natural language processing...
This article addresses the development of statistical models for phrase-based machine translation (M...
MultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Proc...
International audienceDomain adaptation consists in adapting Machine Translation (MT) systems design...
This paper presents a strategy for detecting and using multi-word expressions in Statistical Ma-chin...
Processing of multi-word expressions (MWEs) is a known problem for any natural language processing t...
Multi-word expressions (MWEs) are a hot topic in research in natural language processing (NLP), incl...
Multi-word Expressions (MWEs) present challenges in natural language processing and computational li...
Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The qual...
International audienceNowadays, Statistical Machine Translation (SMT) is widely available. Neverthel...
[[abstract]]In this paper, we present an algorithm for extracting translations of any given multiwor...
The statistical framework has proved to be very successful in machine translation. The main reason f...
Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all natural languages th...
In this paper we investigate the technique of extending the Moses Statistical Machine Translation (S...
We conduct a pilot study for task-oriented evaluation of Multiword Expression (MWE) in Statistical M...
Bilingual lexicons of multiword expressions play a vital role in several natural language processing...
This article addresses the development of statistical models for phrase-based machine translation (M...
MultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Proc...
International audienceDomain adaptation consists in adapting Machine Translation (MT) systems design...
This paper presents a strategy for detecting and using multi-word expressions in Statistical Ma-chin...
Processing of multi-word expressions (MWEs) is a known problem for any natural language processing t...
Multi-word expressions (MWEs) are a hot topic in research in natural language processing (NLP), incl...
Multi-word Expressions (MWEs) present challenges in natural language processing and computational li...
Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The qual...
International audienceNowadays, Statistical Machine Translation (SMT) is widely available. Neverthel...
[[abstract]]In this paper, we present an algorithm for extracting translations of any given multiwor...
The statistical framework has proved to be very successful in machine translation. The main reason f...
Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all natural languages th...
In this paper we investigate the technique of extending the Moses Statistical Machine Translation (S...
We conduct a pilot study for task-oriented evaluation of Multiword Expression (MWE) in Statistical M...
Bilingual lexicons of multiword expressions play a vital role in several natural language processing...
This article addresses the development of statistical models for phrase-based machine translation (M...