Apparatus and method for generating translation model, apparatus and method for automatic translation
First Claim
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1. An apparatus to generate a trained translation model using a processor, the apparatus comprising:
- the processor comprising;
a learning data collector configured to collect an original text, an original text containing an error, and a translation of the original text as learning data; and
a model generator configured to generate the trained translation model to simultaneously perform an automated correcting of an error in a speech recognition and perform translation generation of a recognized speech, the trained translation model being generated by enabling a neural network of the trained translation model to learn based on the collected learning data.
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Abstract
Disclosed herein are an apparatus and method for generating a translation model and an apparatus and method for automatic translation. A translation model generation apparatus and corresponding method include a learning data collector configured to collect an original text, an original text containing an error, and a translation of the original text as learning data, and a model generator that generates a translation model to simultaneously perform error correction and translation generation by enabling a neural network to learn based on the collected learning data.
19 Citations
26 Claims
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1. An apparatus to generate a trained translation model using a processor, the apparatus comprising:
the processor comprising; a learning data collector configured to collect an original text, an original text containing an error, and a translation of the original text as learning data; and a model generator configured to generate the trained translation model to simultaneously perform an automated correcting of an error in a speech recognition and perform translation generation of a recognized speech, the trained translation model being generated by enabling a neural network of the trained translation model to learn based on the collected learning data. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A processor-implemented method of generating a trained translation model, the method comprising:
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collecting an original text, an original text containing an error, and a translation of the original text as learning data; and generating the trained translation model by enabling a neural network of the trained translation model to learn based on the collected learning data, the trained translation model being used to simultaneously perform an automated correcting of an error occurring in a speech recognition and perform translation of a recognized speech. - View Dependent Claims (8, 9, 10, 11, 12)
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13. An apparatus for automatic translation, comprising:
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a voice recognition processor configured to recognize an input voice; a translation processor configured to simultaneously perform an automated correcting of an error in the recognizing and perform translation of the input voice to a voice recognition result using a pre-trained translation model; and a processor configured to indicate a result of the automated correcting of the error and a result of the translation. - View Dependent Claims (14, 15, 16)
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17. A processor-implemented method for automatic translation, the method comprising:
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recognizing an input voice; simultaneously performing an automated correcting of an error in the recognizing and performing translation of the input voice to a voice recognition result using a pre-trained translation model; and indicating a result of the automated correcting of the error and a result of the translation. - View Dependent Claims (18, 19, 20)
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21. An automatic translation apparatus, comprising:
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a processor configured to receive a voice from a user in a first language, perform voice recognition of the voice in the first language and generate a text in the first language as a voice recognition result, translate the voice recognition result to a second language, performing an automated correcting of an error occurring in the voice recognition result using a pre-trained translation model, and generate a translation in the second language, using the pre-trained translation model, simultaneously with the automated correcting of the error. - View Dependent Claims (22, 23, 24, 25, 26)
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Specification