Context-aware machine language identification

A ChatOps system, comprising:

• a plurality of client devices;
• and
• a machine translation system operably connected to the plurality of client devices and adapted to translate a natural language input text into one or more executable commands, the machine translation system comprising:
• a density calculator, the density calculator adapted to:
• tokenize the natural language input text into the plurality of word tokens;
• calculate a part of speech (POS) density for one or more of a plurality of word tokens in the natural language input text;
• calculate a knowledge density for one or more of the plurality of word tokens, wherein the knowledge density is leveled by POS;
• calculate an information density for one or more of the plurality of word tokens using the POS density and the knowledge density;
• and
• return the calculated information density for the one or more of the plurality of word tokens;
• a sememe attacher, the sememe attacher adapted to:
• lemmatize the natural language input text;
• generate one or more corresponding sememes under the POS for one or more of one or more of the plurality of word tokens using their respective calculated information densities;
• attach the one or more corresponding sememes to the one or more word tokens;
• return a list of sememes for one or more of the plurality of word tokens;
• and
• a context translator, the context translator adapted to:
• divide the natural language input text into a plurality of smaller chunks by stop words, the plurality of smaller chunks including one or more word tokens having one or more corresponding sememes attached thereto;
• cluster the one or more word tokens using the corresponding sememes;
• determine a sense for the clustered word tokens;
• merge the sense with the corresponding sememes to generate a semantic context for one of the chunks;
• use the semantic context to translate the plurality of smaller chunks into a target language;
• and
• return the translation of the natural language input text into the one more executable commands.

A computer program product for a ChatOps system, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• receive a natural language input text from an end user;
• tokenize the natural language input text into a plurality of word tokens;
• calculate a part of speech (POS) density the plurality of word tokens in the input text;
• calculate a knowledge density for the plurality of word tokens in the natural language input text;
• calculate an information density for the plurality of word tokens in the natural language input text using the POS density and the knowledge density;
• generate one or more corresponding sememes for one or more of the plurality of word tokens using their respective POS density and knowledge density;
• attach the one or more corresponding sememes to the one or more of the plurality of word tokens;
• cluster the word tokens using the corresponding sememes;
• determine a sense for the clustered word tokens;
• divide the natural language input text into a plurality of smaller chunks by stop words, the plurality of smaller chunks including one or more word tokens having one or more corresponding sememes attached thereto;
• merge the sense with the corresponding sememes to generate a semantic context for one of the chunks;
• generate a semantic context for one or more of the smaller chunks using the one or more corresponding sememes;
• and
• translate the natural language input text into one or more executable commands using the semantic context, including using the semantic context to translate the chunks.