Quickstart: Look up words with bilingual dictionary

In this quickstart, you'll learn how to get alternate translations for a term, and also usage examples of those alternate translations, using the Translator Text API.

This quickstart requires an Azure Cognitive Services account with a Translator Text resource. If you don't have an account, you can use the free trial to get a subscription key.

Note

New Azure resources created after July 1, 2019, will use custom subdomain names. For more information and a complete list of regional endpoints, see Custom subdomain names for Cognitive Services.

Prerequisites

This quickstart requires:

Set up

Create a Translator Text resource

Azure Cognitive Services are represented by Azure resources that you subscribe to. Create a resource for Translator Text using the Azure portal or Azure CLI on your local machine. You can also:

  • Get a trial key valid for 7 days for free. After signing up, it will be available on the Azure website.
  • View an existing resource in the Azure portal.

After you get a key from your trial subscription or resource, create two environment variables:

  • TRANSLATOR_TEXT_SUBSCRIPTION_KEY - The subscription key for your Translator Text resource.
  • TRANSLATOR_TEXT_ENDPOINT - The regional endpoint or custom subdomain name for your resource.

Create a .NET Core project

Open a new command prompt (or terminal session) and run these commands:

dotnet new console -o alternate-sample
cd alternate-sample

The first command does two things. It creates a new .NET console application, and creates a directory named alternate-sample. The second command changes to the directory for your project.

Next, you'll need to install Json.Net. From your project's directory, run:

dotnet add package Newtonsoft.Json --version 11.0.2

Add required namespaces to your project

The dotnet new console command that you ran earlier created a project, including Program.cs. This file is where you'll put your application code. Open Program.cs, and replace the existing using statements. These statements ensure that you have access to all the types required to build and run the sample app.

using System;
using System.Net.Http;
using System.Text;
using Newtonsoft.Json;

Get subscription information from environment variables

Add the following lines to the Program class. These lines read your subscription key and endpoint from environment variables, and throws an error if you run into any issues.

private const string key_var = "TRANSLATOR_TEXT_SUBSCRIPTION_KEY";
private static readonly string subscriptionKey = Environment.GetEnvironmentVariable(key_var);

private const string endpoint_var = "TRANSLATOR_TEXT_ENDPOINT";
private static readonly string endpoint = Environment.GetEnvironmentVariable(endpoint_var);

static Program()
{
    if (null == subscriptionKey)
    {
        throw new Exception("Please set/export the environment variable: " + key_var);
    }
    if (null == endpoint)
    {
        throw new Exception("Please set/export the environment variable: " + endpoint_var);
    }
}
// The code in the next section goes here.

Create a function to get alternate translations

Within the Program class, create a function called AltTranslation. This class encapsulates the code used to call the Dictionary resource and prints the result to console.

static void AltTranslation()
{
  /*
   * The code for your call to the translation service will be added to this
   * function in the next few sections.
   */
}

Construct the URI

Add these lines to the AltTranslation function. You'll notice that along with the api-version, two additional parameters have been declared. These parameters are used to set the translation input and output. In this sample, these are English (en) and Spanish (es).

string route = "/dictionary/lookup?api-version=3.0";
static string params_ = "from=en&to=es";
static string uri = endpoint + path + params_;

Next, we need to create and serialize the JSON object that includes the text you want to translate. Keep in mind, you can pass more than one object in the body array.

System.Object[] body = new System.Object[] { new { Text = @"Elephants" } };
var requestBody = JsonConvert.SerializeObject(body);

Instantiate the client and make a request

These lines instantiate the HttpClient and the HttpRequestMessage:

using (var client = new HttpClient())
using (var request = new HttpRequestMessage())
{
  // In the next few sections you'll add code to construct the request.
}

Construct the request and print the response

Inside the HttpRequestMessage you'll:

  • Declare the HTTP method
  • Construct the request URI
  • Insert the request body (serialized JSON object)
  • Add required headers
  • Make an asynchronous request
  • Print the response

Add this code to the HttpRequestMessage:

// Set the method to POST
request.Method = HttpMethod.Post;

// Construct the full URI
request.RequestUri = new Uri(uri);

// Add the serialized JSON object to your request
request.Content = new StringContent(requestBody, Encoding.UTF8, "application/json");

// Add the authorization header
request.Headers.Add("Ocp-Apim-Subscription-Key", subscriptionKey);

// Send request, get response
var response = client.SendAsync(request).Result;
var jsonResponse = response.Content.ReadAsStringAsync().Result;

// Print the response
Console.WriteLine(PrettyPrint(jsonResponse));
Console.WriteLine("Press any key to continue.");

Add PrettyPrint to add formatting to your JSON response:

static string PrettyPrint(string s)
{
    return JsonConvert.SerializeObject(JsonConvert.DeserializeObject(s), Formatting.Indented);
}

If you are using a Cognitive Services multi-service subscription, you must also include the Ocp-Apim-Subscription-Region in your request parameters. Learn more about authenticating with the multi-service subscription.

Put it all together

The last step is to call AltTranslation() in the Main function. Locate static void Main(string[] args) and add these lines:

AltTranslation();
Console.WriteLine("Press any key to continue.");
Console.ReadKey();

Run the sample app

That's it, you're ready to run your sample app. From the command line (or terminal session), navigate to your project directory and run:

dotnet run

Sample response

[
    {
        "displaySource": "elephants",
        "normalizedSource": "elephants",
        "translations": [
            {
                "backTranslations": [
                    {
                        "displayText": "elephants",
                        "frequencyCount": 1207,
                        "normalizedText": "elephants",
                        "numExamples": 5
                    }
                ],
                "confidence": 1.0,
                "displayTarget": "elefantes",
                "normalizedTarget": "elefantes",
                "posTag": "NOUN",
                "prefixWord": ""
            }
        ]
    }
]

Clean up resources

Make sure to remove any confidential information from your sample app's source code, like subscription keys.

Next steps

Take a look at the API reference to understand everything you can do with the Translator Text API.

Prerequisites

This quickstart requires:

Set up

Create a Translator Text resource

Azure Cognitive Services are represented by Azure resources that you subscribe to. Create a resource for Translator Text using the Azure portal or Azure CLI on your local machine. You can also:

  • Get a trial key valid for 7 days for free. After signing up, it will be available on the Azure website.
  • View an existing resource in the Azure portal.

After you get a key from your trial subscription or resource, create two environment variables:

  • TRANSLATOR_TEXT_SUBSCRIPTION_KEY - The subscription key for your Translator Text resource.
  • TRANSLATOR_TEXT_ENDPOINT - The regional endpoint or custom subdomain name for your resource.

Initialize a project with Gradle

Let's start by creating a working directory for this project. From the command line (or terminal), run this command:

mkdir alt-translation-sample
cd alt-translation-sample

Next, you're going to initialize a Gradle project. This command will create essential build files for Gradle, most importantly, the build.gradle.kts, which is used at runtime to create and configure your application. Run this command from your working directory:

gradle init --type basic

When prompted to choose a DSL, select Kotlin.

Configure the build file

Locate build.gradle.kts and open it with your favorite IDE or text editor. Then copy in this build configuration:

plugins {
    java
    application
}
application {
    mainClassName = "AltTranslation"
}
repositories {
    mavenCentral()
}
dependencies {
    compile("com.squareup.okhttp:okhttp:2.5.0")
    compile("com.google.code.gson:gson:2.8.5")
}

Take note that this sample has dependencies on OkHttp for HTTP requests, and Gson to handle and parse JSON. If you'd like to learn more about build configurations, see Creating New Gradle Builds.

Create a Java file

Let's create a folder for your sample app. From your working directory, run:

mkdir -p src\main\java

Next, in this folder, create a file named AltTranslation.java.

Import required libraries

Open AltTranslation.java and add these import statements:

import java.io.*;
import java.net.*;
import java.util.*;
import com.google.gson.*;
import com.squareup.okhttp.*;

Define variables

First, you'll need to create a public class for your project:

public class AltTranslation {
  // All project code goes here...
}

Add these lines to the AltTranslation class. First, the subscription key and endpoint are being read from environment variables. Then, you'll notice that along with the api-version, two additional parameters have been appended to the url. These parameters are used to set the translation input and output. In this sample, these are English (en) and Spanish (es).

private static String subscriptionKey = System.getenv("TRANSLATOR_TEXT_SUBSCRIPTION_KEY");
private static String endpoint = System.getenv("TRANSLATOR_TEXT_ENDPOINT");
String url = endpoint + "/dictionary/lookup?api-version=3.0&from=en&to=es";

If you are using a Cognitive Services multi-service subscription, you must also include the Ocp-Apim-Subscription-Region in your request parameters. Learn more about authenticating with the multi-service subscription.

Create a client and build a request

Add this line to the AltTranslation class to instantiate the OkHttpClient:

// Instantiates the OkHttpClient.
OkHttpClient client = new OkHttpClient();

Next, let's build the POST request. Feel free to change the text for translation.

// This function performs a POST request.
public String Post() throws IOException {
    MediaType mediaType = MediaType.parse("application/json");
    RequestBody body = RequestBody.create(mediaType,
            "[{\n\t\"Text\": \"Pineapples\"\n}]");
    Request request = new Request.Builder()
            .url(url).post(body)
            .addHeader("Ocp-Apim-Subscription-Key", subscriptionKey)
            .addHeader("Content-type", "application/json").build();
    Response response = client.newCall(request).execute();
    return response.body().string();
}

Create a function to parse the response

This simple function parses and prettifies the JSON response from the Translator Text service.

// This function prettifies the json response.
public static String prettify(String json_text) {
    JsonParser parser = new JsonParser();
    JsonElement json = parser.parse(json_text);
    Gson gson = new GsonBuilder().setPrettyPrinting().create();
    return gson.toJson(json);
}

Put it all together

The last step is to make a request and get a response. Add these lines to your project:

public static void main(String[] args) {
    try {
        AltTranslation altTranslationRequest = new AltTranslation();
        String response = altTranslationRequest.Post();
        System.out.println(prettify(response));
    } catch (Exception e) {
        System.out.println(e);
    }
}

Run the sample app

That's it, you're ready to run your sample app. From the command line (or terminal session), navigate to the root of your working directory and run:

gradle build

When the build completes, run:

gradle run

Sample response

[
  {
    "normalizedSource": "pineapples",
    "displaySource": "pineapples",
    "translations": [
      {
        "normalizedTarget": "piñas",
        "displayTarget": "piñas",
        "posTag": "NOUN",
        "confidence": 0.7016,
        "prefixWord": "",
        "backTranslations": [
          {
            "normalizedText": "pineapples",
            "displayText": "pineapples",
            "numExamples": 5,
            "frequencyCount": 158
          },
          {
            "normalizedText": "cones",
            "displayText": "cones",
            "numExamples": 5,
            "frequencyCount": 13
          },
          {
            "normalizedText": "piña",
            "displayText": "piña",
            "numExamples": 3,
            "frequencyCount": 5
          },
          {
            "normalizedText": "ganks",
            "displayText": "ganks",
            "numExamples": 2,
            "frequencyCount": 3
          }
        ]
      },
      {
        "normalizedTarget": "ananás",
        "displayTarget": "ananás",
        "posTag": "NOUN",
        "confidence": 0.2984,
        "prefixWord": "",
        "backTranslations": [
          {
            "normalizedText": "pineapples",
            "displayText": "pineapples",
            "numExamples": 2,
            "frequencyCount": 16
          }
        ]
      }
    ]
  }
]

Next steps

Take a look at the API reference to understand everything you can do with the Translator Text API.

Prerequisites

This quickstart requires:

Set up

Create a Translator Text resource

Azure Cognitive Services are represented by Azure resources that you subscribe to. Create a resource for Translator Text using the Azure portal or Azure CLI on your local machine. You can also:

  • Get a trial key valid for 7 days for free. After signing up, it will be available on the Azure website.
  • View an existing resource in the Azure portal.

After you get a key from your trial subscription or resource, create two environment variables:

  • TRANSLATOR_TEXT_SUBSCRIPTION_KEY - The subscription key for your Translator Text resource.
  • TRANSLATOR_TEXT_ENDPOINT - The regional endpoint or custom subdomain name for your resource.

Create a project and import required modules

Create a new Python project using your favorite IDE or editor, or create a new folder on your desktop. Copy this code snippet into your project/folder into a file named dictionary-lookup.py.

# -*- coding: utf-8 -*-
import os, requests, uuid, json

Note

If you haven't used these modules you'll need to install them before running your program. To install these packages, run: pip install requests uuid.

The first comment tells your Python interpreter to use UTF-8 encoding. Then required modules are imported to read your subscription key from an environment variable, construct the http request, create a unique identifier, and handle the JSON response returned by the Translator Text API.

Set the subscription key, endpoint, and path

This sample will try to read your Translator Text subscription key and endpoint from the environment variables: TRANSLATOR_TEXT_KEY and TRANSLATOR_TEXT_ENDPOINT. If you're not familiar with environment variables, you can set subscription_key and endpoint as a strings and comment out the conditional statements.

Copy this code into your project:

key_var_name = 'TRANSLATOR_TEXT_SUBSCRIPTION_KEY'
if not key_var_name in os.environ:
    raise Exception('Please set/export the environment variable: {}'.format(key_var_name))
subscription_key = os.environ[key_var_name]

endpoint_var_name = 'TRANSLATOR_TEXT_ENDPOINT'
if not endpoint_var_name in os.environ:
    raise Exception('Please set/export the environment variable: {}'.format(endpoint_var_name))
endpoint = os.environ[endpoint_var_name]

The Translator Text global endpoint is set as the endpoint. path sets the dictionary/lookup route and identifies that we want to hit version 3 of the API.

The params are used to set the source and output languages. In this sample we're using English and Spanish: en and es.

Note

For more information about endpoints, routes, and request parameters, see Translator Text API 3.0: Dictionary Lookup.

path = '/dictionary/lookup?api-version=3.0'
params = '&from=en&to=es'
constructed_url = endpoint + path + params

Add headers

The easiest way to authenticate a request is to pass in your subscription key as an Ocp-Apim-Subscription-Key header, which is what we use in this sample. As an alternative, you can exchange your subscription key for an access token, and pass the access token along as an Authorization header to validate your request. For more information, see Authentication.

Copy this code snippet into your project:

headers = {
    'Ocp-Apim-Subscription-Key': subscription_key,
    'Content-type': 'application/json',
    'X-ClientTraceId': str(uuid.uuid4())
}

If you are using a Cognitive Services multi-service subscription, you must also include the Ocp-Apim-Subscription-Region in your request parameters. Learn more about authenticating with the multi-service subscription.

Create a request to find alternate translations

Define the string (or strings) that you want to find translations for:

# You can pass more than one object in body.
body = [{
    'text': 'Elephants'
}]

Next, we'll create a POST request using the requests module. It takes three arguments: the concatenated URL, the request headers, and the request body:

request = requests.post(constructed_url, headers=headers, json=body)
response = request.json()

The last step is to print the results. This code snippet prettifies the results by sorting the keys, setting indentation, and declaring item and key separators.

print(json.dumps(response, sort_keys=True, indent=4,
                 ensure_ascii=False, separators=(',', ': ')))

Put it all together

That's it, you've put together a simple program that will call the Translator Text API and return a JSON response. Now it's time to run your program:

python alt-translations.py

If you'd like to compare your code against ours, the complete sample is available on GitHub.

Sample response

[
    {
        "displaySource": "elephants",
        "normalizedSource": "elephants",
        "translations": [
            {
                "backTranslations": [
                    {
                        "displayText": "elephants",
                        "frequencyCount": 1207,
                        "normalizedText": "elephants",
                        "numExamples": 5
                    }
                ],
                "confidence": 1.0,
                "displayTarget": "elefantes",
                "normalizedTarget": "elefantes",
                "posTag": "NOUN",
                "prefixWord": ""
            }
        ]
    }
]

Clean up resources

If you've hardcoded your subscription key into your program, make sure to remove the subscription key when you're finished with this quickstart.

Next steps

Take a look at the API reference to understand everything you can do with the Translator Text API.

Prerequisites

This quickstart requires:

Set up

Create a Translator Text resource

Azure Cognitive Services are represented by Azure resources that you subscribe to. Create a resource for Translator Text using the Azure portal or Azure CLI on your local machine. You can also:

  • Get a trial key valid for 7 days for free. After signing up, it will be available on the Azure website.
  • View an existing resource in the Azure portal.

After you get a key from your trial subscription or resource, create two environment variables:

  • TRANSLATOR_TEXT_SUBSCRIPTION_KEY - The subscription key for your Translator Text resource.
  • TRANSLATOR_TEXT_ENDPOINT - The regional endpoint or custom subdomain name for your resource.

Create a project and import required modules

Create a new project using your favorite IDE or editor, or create a new folder on your desktop. Copy this code snippet into your project/folder into a file named alt-translations.js.

const request = require('request');
const uuidv4 = require('uuid/v4');

Note

If you haven't used these modules you'll need to install them before running your program. To install these packages, run: npm install request uuidv4.

These modules are required to construct the HTTP request, and create a unique identifier for the 'X-ClientTraceId' header.

Set the subscription key and endpoint

This sample will try to read your Translator Text subscription key and endpoint from these environment variables: TRANSLATOR_TEXT_SUBSCRIPTION_KEY and TRANSLATOR_TEXT_ENDPOINT. If you're not familiar with environment variables, you can set subscriptionKey and endpoint as strings and comment out the conditional statements.

Copy this code into your project:

var key_var = 'TRANSLATOR_TEXT_SUBSCRIPTION_KEY';
if (!process.env[key_var]) {
    throw new Error('Please set/export the following environment variable: ' + key_var);
}
var subscriptionKey = process.env[key_var];
var endpoint_var = 'TRANSLATOR_TEXT_ENDPOINT';
if (!process.env[endpoint_var]) {
    throw new Error('Please set/export the following environment variable: ' + endpoint_var);
}
var endpoint = process.env[endpoint_var];

Configure the request

The request() method, made available through the request module, allows us to pass the HTTP method, URL, request params, headers, and the JSON body as an options object. In this code snippet, we'll configure the request:

Note

For more information about endpoints, routes, and request parameters, see Translator Text API 3.0: Dictionary Lookup.

let options = {
    method: 'POST',
    baseUrl: endpoint,
    url: 'dictionary/lookup',
    qs: {
      'api-version': '3.0',
      'from': 'en',
      'to': 'es'
    },
    headers: {
      'Ocp-Apim-Subscription-Key': subscriptionKey,
      'Content-type': 'application/json',
      'X-ClientTraceId': uuidv4().toString()
    },
    body: [{
          'text': 'Elephants'
    }],
    json: true,
};

The easiest way to authenticate a request is to pass in your subscription key as an Ocp-Apim-Subscription-Key header, which is what we use in this sample. As an alternative, you can exchange your subscription key for an access token, and pass the access token along as an Authorization header to validate your request.

If you are using a Cognitive Services multi-service subscription, you must also include the Ocp-Apim-Subscription-Region in your request headers.

For more information, see Authentication.

Make the request and print the response

Next, we'll create the request using the request() method. It takes the options object that we created in the previous section as the first argument, then prints the prettified JSON response.

request(options, function(err, res, body){
    console.log(JSON.stringify(body, null, 4));
});

Note

In this sample, we're defining the HTTP request in the options object. However, the request module also supports convenience methods, like .post and .get. For more information, see convenience methods.

Put it all together

That's it, you've put together a simple program that will call the Translator Text API and return a JSON response. Now it's time to run your program:

node alt-translations.js

If you'd like to compare your code against ours, the complete sample is available on GitHub.

Sample response

[
    {
        "displaySource": "elephants",
        "normalizedSource": "elephants",
        "translations": [
            {
                "backTranslations": [
                    {
                        "displayText": "elephants",
                        "frequencyCount": 1207,
                        "normalizedText": "elephants",
                        "numExamples": 5
                    }
                ],
                "confidence": 1.0,
                "displayTarget": "elefantes",
                "normalizedTarget": "elefantes",
                "posTag": "NOUN",
                "prefixWord": ""
            }
        ]
    }
]

Clean up resources

If you've hardcoded your subscription key into your program, make sure to remove the subscription key when you're finished with this quickstart.

Next steps

Take a look at the API reference to understand everything you can do with the Translator Text API.

Prerequisites

This quickstart requires:

Set up

Create a Translator Text resource

Azure Cognitive Services are represented by Azure resources that you subscribe to. Create a resource for Translator Text using the Azure portal or Azure CLI on your local machine. You can also:

  • Get a trial key valid for 7 days for free. After signing up, it will be available on the Azure website.
  • View an existing resource in the Azure portal.

After you get a key from your trial subscription or resource, create two environment variables:

  • TRANSLATOR_TEXT_SUBSCRIPTION_KEY - The subscription key for your Translator Text resource.
  • TRANSLATOR_TEXT_ENDPOINT - The regional endpoint or custom subdomain name for your resource.

Create a project and import required modules

Create a new Go project using your favorite IDE / editor or new folder on your desktop. Then copy this code snippet into your project/folder in a file named dictionaryLookup.go.

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "log"
    "net/http"
    "net/url"
    "os"
)

Create the main function

This sample will try to read your Translator Text subscription key and endpoint from these environment variables: TRANSLATOR_TEXT_SUBSCRIPTION_KEY and TRANSLATOR_TEXT_ENDPOINT. If you're not familiar with environment variables, you can set subscriptionKey and endpoint as strings and comment out the conditional statements.

Copy this code into your project:

func main() {
    /*
    * Read your subscription key from an env variable.
    * Please note: You can replace this code block with
    * var subscriptionKey = "YOUR_SUBSCRIPTION_KEY" if you don't
    * want to use env variables. If so, be sure to delete the "os" import.
    */
    if "" == os.Getenv("TRANSLATOR_TEXT_SUBSCRIPTION_KEY") {
      log.Fatal("Please set/export the environment variable TRANSLATOR_TEXT_SUBSCRIPTION_KEY.")
    }
    subscriptionKey := os.Getenv("TRANSLATOR_TEXT_SUBSCRIPTION_KEY")
    if "" == os.Getenv("TRANSLATOR_TEXT_ENDPOINT") {
      log.Fatal("Please set/export the environment variable TRANSLATOR_TEXT_ENDPOINT.")
    }
    endpoint := os.Getenv("TRANSLATOR_TEXT_ENDPOINT")
    uri := endpoint + "/dictionary/lookup?api-version=3.0"
    /*
     * This calls our breakSentence function, which we'll
     * create in the next section. It takes a single argument,
     * the subscription key.
     */
    dictionaryLookup(subscriptionKey, uri)
}

Create a function to get alternate translations

Let's create a function to get alternate translations. This function will take a single argument, your Translator Text subscription key.

func dictionaryLookup(subscriptionKey string, uri string) {
    /*  
     * In the next few sections, we'll add code to this
     * function to make a request and handle the response.
     */
}

Next, let's construct the URL. The URL is built using the Parse() and Query() methods. You'll notice that parameters are added with the Add() method. In this sample, we're translating from English to Spanish.

Copy this code into the altTranslations function.

// Build the request URL. See: https://golang.org/pkg/net/url/#example_URL_Parse
u, _ := url.Parse(uri)
q := u.Query()
q.Add("from", "en")
q.Add("to", "es")
u.RawQuery = q.Encode()

Note

For more information about endpoints, routes, and request parameters, see Translator Text API 3.0: Dictionary Lookup.

Create a struct for your request body

Next, create an anonymous structure for the request body and encode it as JSON with json.Marshal(). Add this code to the altTranslations function.

// Create an anonymous struct for your request body and encode it to JSON
body := []struct {
    Text string
}{
    {Text: "Pineapples"},
}
b, _ := json.Marshal(body)

Build the request

Now that you've encoded the request body as JSON, you can build your POST request, and call the Translator Text API.

// Build the HTTP POST request
req, err := http.NewRequest("POST", u.String(), bytes.NewBuffer(b))
if err != nil {
    log.Fatal(err)
}
// Add required headers to the request
req.Header.Add("Ocp-Apim-Subscription-Key", subscriptionKey)
req.Header.Add("Content-Type", "application/json")

// Call the Translator Text API
res, err := http.DefaultClient.Do(req)
if err != nil {
    log.Fatal(err)
}

If you are using a Cognitive Services multi-service subscription, you must also include the Ocp-Apim-Subscription-Region in your request parameters. Learn more about authenticating with the multi-service subscription.

Handle and print the response

Add this code to the altTranslations function to decode the JSON response, and then format and print the result.

// Decode the JSON response
var result interface{}
if err := json.NewDecoder(res.Body).Decode(&result); err != nil {
    log.Fatal(err)
}
// Format and print the response to terminal
prettyJSON, _ := json.MarshalIndent(result, "", "  ")
fmt.Printf("%s\n", prettyJSON)

Put it all together

That's it, you've put together a simple program that will call the Translator Text API and return a JSON response. Now it's time to run your program:

go run dictionaryLookup.go

If you'd like to compare your code against ours, the complete sample is available on GitHub.

Sample response

[
  {
    "displaySource": "pineapples",
    "normalizedSource": "pineapples",
    "translations": [
      {
        "backTranslations": [
          {
            "displayText": "pineapples",
            "frequencyCount": 158,
            "normalizedText": "pineapples",
            "numExamples": 5
          },
          {
            "displayText": "cones",
            "frequencyCount": 13,
            "normalizedText": "cones",
            "numExamples": 5
          },
          {
            "displayText": "piña",
            "frequencyCount": 5,
            "normalizedText": "piña",
            "numExamples": 3
          },
          {
            "displayText": "ganks",
            "frequencyCount": 3,
            "normalizedText": "ganks",
            "numExamples": 2
          }
        ],
        "confidence": 0.7016,
        "displayTarget": "piñas",
        "normalizedTarget": "piñas",
        "posTag": "NOUN",
        "prefixWord": ""
      },
      {
        "backTranslations": [
          {
            "displayText": "pineapples",
            "frequencyCount": 16,
            "normalizedText": "pineapples",
            "numExamples": 2
          }
        ],
        "confidence": 0.2984,
        "displayTarget": "ananás",
        "normalizedTarget": "ananás",
        "posTag": "NOUN",
        "prefixWord": ""
      }
    ]
  }
]

Next steps

Take a look at the API reference to understand everything you can do with the Translator Text API.

See also