421 results about "First language" patented technology

A domain-based speech recognition method and apparatus, the method including: performing speech recognition by using a first language model and generating a first recognition result including a plurality of first recognition sentences; selecting a plurality of candidate domains, by using a word included in each of the first recognition sentences and having a confidence score equal to or higher than a predetermined threshold, as a domain keyword; performing speech recognition with the first recognition result, by using an acoustic model specific to each of the candidate domains and a second language model and generating a plurality of second recognition sentences; and selecting at least one or more final recognition sentence from the first recognition sentences and the second recognition sentences. According to this method and apparatus, the effect of a domain extraction error by misrecognition of a word on selection of a final recognition result can be minimized.

A text-to-speech system adapted to operate on text in a first language including sections in a second language, includes a grapheme/phoneme transcriptor for converting the sections in the second language into phonemes of the second language; a mapping module configured for mapping at least part of the phonemes of the second language onto sets of phonemes of the first language; and a speech-synthesis module adapted to be fed with a resulting stream of phonemes including the sets of phonemes of the first language resulting from mapping and the stream of phonemes of the first language representative of the text, and to generate a speech signal from the resulting stream of phonemes.

Systems and methods to process and correct spelling errors for non-Roman based words such as in Chinese, Japanese, and Korean languages using a rule-based classifier and a hidden Markov model are disclosed. The method generally includes converting an input entry in a first language such as Chinese to at least one intermediate entry in an intermediate representation, such as pinyin, different from the first language, converting the intermediate entry to at least one possible alternative spelling or form of the input in the first language, and determining that the input entry is either a correct or questionable input entry when a match between the input entry and all possible alternative spellings to the input entry is or is not located, respectively. The questionable input entry may be classified using, for example, a transformation rule based classifier based on transformation rules generated by a transformation rules generator.

A method for speech synthesis of a word in a first language, comprising dividing the word into a first sequence of pronunciation phonemes in the first language, mapping the first phoneme sequence to a second sequence of pronunciation phonemes in at least one second language, and generating an audio output of the phonemes in the second phoneme sequence using prosody models adapted for the at least one second language. According to this method, an audio output of a word in a first language can be generated by a speech synthesizing engine not having actual support for this language. Instead, the pronunciation phonemes of the word are mapped onto phonemes of at least one second language, for which the speech synthesizing engine does have support.

A system for automating the quality evaluation of a translation. The system may include a computer having a processor and memory device operably connected to one another. A source text in a first language may be stored within the memory device. A target text comprising a translation of the source text into a second language may also be stored within the memory device. Additionally, a plurality of executables may be stored on the memory device and be configured to, when executed by the processor, independently identify a test sample comprising one or more blocks, each comprising a matched set having a source portion selected from the source text and a corresponding target portion selected from the target text.

A string matching method, system, and a computer-readable medium storing instructions for determining and obtaining a representative string for a plurality of strings that are written in various manners but share the same meaning. The string matching method includes: converting the input string into one or more second-language strings with reference to a language mapping table, which stores a plurality of pieces of mapping information for mapping a first-language string to a second-language string, and generating a conversion list; searching a representative list database, which storing a plurality of records each with a representative string and a corresponding second-language representative string, for records including the same second-language representative strings as the respective second-language strings in the conversion list and generating a candidate list; and determining a representative string from the candidate list to be an output representative string. Therefore, the string matching can provide string-based multimedia data classification scenarios.

A computer implemented method translates a textual input in a first language to a textual output in a second language. An input logical form is generated based on the textual input. When a plurality of transfer mappings in a transfer mapping database match the input logical form (or at least a portion thereof) one or more of those plurality of matching transfer mappings is selected based on a predetermined metric. Textual output is generated based on the selected transfer logical form.

An apparatus includes a first search unit that searches a storage unit for a first example of a first language based on a sentence in the first language; a second search unit that searches for a second example of a second language corresponding to the first example, the second language containing the same meaning as the first example; a determining unit that determines whether a plurality of the second examples exist; a first acquisition unit that acquires the first example corresponding to each of the second example from the storage unit; a second acquisition unit that acquires the second example corresponding to the first example acquired from the storage unit; and a choice generating unit that generates the first example acquired associated with the least number of the second examples acquired as a choice of the first example to be output.

A computer system with an appropriate set of instructions to allow the computer system to serve as a translation device for use in a structured interview between an interviewer using a first language and an interviewee in a second language in order to minimize or eliminate that need for a human translator during the acquisition of routine information. Problems addressed include: determination of the appropriate language for use as the second language, the use of a single display screen through the use of a toggle function to toggle from the first language to the second language, delivery of context sensitive audio files while controlling the number of screens to be created and presented to the interviewer, and the creation of a set of discharge instructions. A preferred set of hardware and a mobile cart is discussed.

A machine translation method includes receiving source text in a first language and retrieving text fragments in a target language from a library of bi-fragments to generate a target hypothesis. Each bi-fragment includes a text fragment from the first language and a corresponding text fragment from the second language. Some of the bi-fragments are modeled as elastic bi-fragments where a gap between words is able to assume a variable size corresponding to a number of other words to occupy the gap. The target hypothesis is evaluated with a translation scoring function which scores the target hypothesis according to a plurality of feature functions, at least one of the feature functions comprising a gap size scoring feature which favors hypotheses with statistically more probable gap sizes over hypotheses with statically less probable gap sizes.

Methods and systems for changing language characters of graphical user interfaces and application programming interfaces are disclosed. Embodiments comprise a method of changing the characters of a first language displayed on a device interface screen to a second language upon activation of an element on the device. In some embodiments, the element for changing the language is a menu bar item. In one embodiment, the element for changing the language is a mechanical switch. In another embodiment, the element for changing the language of the displayed characters is a touch-screen target. Some embodiments comprise systems such as industrial and personal computers, while other embodiments comprise smaller electronic devices such as cellular telephones, handheld computers, and portable gaming devices.

A method of testing a computer program written for use in a foreign language can include identifying text presented upon a display screen, wherein the text is in a first language, and automatically acquiring the text from the display screen. The text can be translated from the first language to a second language. The translated text can be presented in the second language upon the display screen.

A method of machine translation, using a bilingual corpus containing translation pairs each consisting of a sentence of a first language and a sentence of a second language, for translating an input sentence of the first language to the second language, including the steps of: receiving the input sentence of the first language and extracting, from the bilingual corpus, a sentence of the second language forming a pair with a sentence of the first language with highest similarity to the input sentence; applying an arbitrary modification among a plurality of predetermined modifications to the extracted sentence of the second language, and computing likelihood of sentences resulting from the modification; selecting a prescribed number of sentences having high likelihood from among the sentences resulting from the modification; repeating, on each of the sentences selected in the step of selecting, the steps of extracting, computing and selecting, until the likelihood no longer improves; and outputting, as a translation of the input sentence, a sentence having the highest likelihood among the sentences of the second language left at the end of the step of repeating.

A method of and a system for processing an enterprise application request on an end user application and an application server. This is accomplished by initiating the application request on the end user application in a first language (such as a markup language) with a first application program (such as a Web browser), and transmitting the application request to the server and converting the application from the first language of the first end user application to a language running on the application server, processing the application request on the application server, and transmitting the response from the application server back to the end user application, and converting the response from the language running on the application server to the language of the end user application. The end user application and the application server have at least one connector between them, and the steps of (i) converting the application request from the language of the end user application (as a source language) to the language running on the application server (as a target language), and (ii) converting the response to the application request from the language running on the application server (as a source language) to the language of the end user application (as a target language), each include the steps of invoking connector metamodels of the respective source and target languages, populating the connector metamodels with metamodel data of each of the respective source and target languages, and converting the source language to the target language.

The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English.

A dialogue supporting apparatus is provided which carries out a trade-off between the speed of the translation process and the fluency of the translation result, in accordance with the contents of a dialogue. The dialogue supporting apparatus includes a first input accepting unit 101 which accepts an utterance of a user 1 in a first language, a first translation processing unit 102 which translates the accepted utterance into a predetermined second language so as to output first translated utterance information, a first output unit 103 which conveys the first translated utterance information to a user 2, a second input accepting unit 104 which accepts an utterance of the user 2, a second translation processing unit 105 which translates the accepted utterance of the user 2 into the first language so as to output second translated utterance information, a second output unit 106 which conveys the second translated utterance information to the user 1, an output time determination unit which analyzes a characteristic included in the utterance of the user 1 and determines the upper limit for the translation time for an utterance to be accepted following the utterance of the first user. The second translation processing unit 105 outputs second translated utterance information acquired within such translation time.

A writing advisor program (20) receives a proposed text in an author's second language (L2) and determines at least one candidate replacement word for a selected word based on a determined language model (p(c)) and a determined corruption model (p(r|c)). The determined language model reflects correct usage of the text in the second language, independent of the native or first language (L1) of the author, based on (L2) corpora. The determined corruption model is based on some a priori knowledge about probable corruption paths leading the author to realize some inadequate expression in the second language instead of the correct, intended expression. Different types of corruption paths may be used that include bidirectional translations, false-friends, synonyms, common semantic features, second language internal cognates, preposition alternatives, and first language inserts.

Computer implemented speech processing generates one or more pronunciations of an input word in a first language by a non-native speaker of the first language who is a native speaker of a second language. The input word is converted into one or more pronunciations. Each pronunciation includes one or more phonemes selected from a set of phonemes associated with the second language. Each pronunciation is associated with the input word in an entry in a computer database. Each pronunciation in the database is associated with information identifying a pronunciation language and/or a phoneme language.

A translation support program that makes association between words or phrases in an original sentence and a corresponding translation sentence easy. A similar translation example retrieval section extracts similar translation examples similar to an input sentence and rearranges the similar translation examples in order according to their similarity degrees. When a search result display section displays search results, first a word association section performs association between words or phrases in a first language sentence in a first language and a second language sentence in a second language included in each similar translation example by the use of a bilingual dictionary. The similar translation examples are displayed in order of similarity degree. Combinations of three sentences, that is to say, of the input sentence and a first language sentence in the first language and a second language sentence in the second language included in each similar translation example are displayed. Corresponding words or phrases in the input sentence and a first language sentence in the first language and a second language sentence in the second language included in each similar translation example are highlighted.

An improved method, apparatus, and computer instructions displaying search results. A query is received in a first language. A snippet in the document containing the word is selected in response to identifying a document in a second language in which the document contains a word matching a query word in the query. This snippet is translated into the first language.