One or more dynamic bi-phrases are generated, based on the source text and the application of one or more rules, which may be based on user descriptions. The domain similarity feature hds assesses the replacement (e.g., of “attacked” by “accused”) according to how similar the two words are in the overall corpus, for example because these two words are frequently used in similar contexts in this corpus; 2.

Any of the dynamic bi-phrases which each cover at least one word of the source text are also retrieved, which together form a set of active bi-phrases. HLT/EMNLP (2005)).

In this embodiment, different dynamic bi-phrase types are tied together as follows. Among these features, some are associated with static bi-phrases, e.g., features that estimate the conditional probability of observing, in a corpus 34, the target side of the bi-phrase given that the source side has been observed. Inputs 20, 22 can each be a network connection which connects the computer 10 via wires and/or wirelessly with a text source, such as a scanner, other computer, a wide area network, such as the Internet, or may be a port for receiving a physical storage medium, such as a disk or flash memory card, or the like on which the source text 40 is stored. 20090175545, published Jul. Typically, the scoring model attempts to maximize a log-linear combination of features associated with the bi-phrases entering the combination. The same static bi-phrase table is then accessed for all translations of text between the source and target languages.

No. may be defined, where K is a small number such as from 1-10, and in some embodiments, K is equal to 1 or 2. 1) is computed, but also a relatively large sample of lower-scored candidates. No. The source and target languages can be any two natural languages, such as French and English in the examples herein. While the description that follows only gives a sample of possible applications for dynamic bi-phrases, they represent a simple, yet very powerful, paradigm for improving current PB-SMT systems, and, significantly, they liberate the translator from limiting valid bi-phrases to static ones extracted at training time. However, none of the features of the dynamic bi-phrases is based on a frequency in the training corpus determined in the same way as those of the static bi-phrases, allowing them to be generated at will, e.g., at translation time. Suppose that the following French sentence is to be translated into English: une température record de 40.4 degrés Celsius est observée à Paris. The system 10 translates the source text 40 into target text 42, which is output from the system, e.g., via interface 22. This is a statistical test for association in a table based on the exact hypergeometric distribution of the frequencies within the table. d) associating a weight for the dynamic contextual entailment bi-phrase feature(s), which may be based on a weight used for the corresponding static bi-phrase feature (S116). ; and U.S. application Ser. In the decoding process, an optimal translation is obtaining by scoring a number of features, e.g., by maximizing a log-linear combination of features.

No.

2006/0190241, published Aug. 24, 2006, entitled APPARATUS AND METHODS FOR ALIGNING WORDS IN BILINGUAL SENTENCES, by Cyril Goutte, et al. Over 150 phrases and words that convert, as chosen by research studies, advertising legends, and psychology tests.

FAY SHARPE / XEROX - ROCHESTER (CLEVELAND, OH, US), Click for automatic bibliography As will be appreciated, the reverse feature can be computed analogously but using: hg1(Ti)≡logcount(targeti,sourcei)count(targeti).

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